1
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Rathore U, Haas P, Easwar Kumar V, Hiatt J, Haas KM, Bouhaddou M, Swaney DL, Stevenson E, Zuliani-Alvarez L, McGregor MJ, Turner-Groth A, Ochieng' Olwal C, Bediako Y, Braberg H, Soucheray M, Ott M, Eckhardt M, Hultquist JF, Marson A, Kaake RM, Krogan NJ. CRISPR-Cas9 screen of E3 ubiquitin ligases identifies TRAF2 and UHRF1 as regulators of HIV latency in primary human T cells. mBio 2024; 15:e0222223. [PMID: 38411080 PMCID: PMC11005436 DOI: 10.1128/mbio.02222-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 01/09/2024] [Indexed: 02/28/2024] Open
Abstract
During HIV infection of CD4+ T cells, ubiquitin pathways are essential to viral replication and host innate immune response; however, the role of specific E3 ubiquitin ligases is not well understood. Proteomics analyses identified 116 single-subunit E3 ubiquitin ligases expressed in activated primary human CD4+ T cells. Using a CRISPR-based arrayed spreading infectivity assay, we systematically knocked out 116 E3s from activated primary CD4+ T cells and infected them with NL4-3 GFP reporter HIV-1. We found 10 E3s significantly positively or negatively affected HIV infection in activated primary CD4+ T cells, including UHRF1 (pro-viral) and TRAF2 (anti-viral). Furthermore, deletion of either TRAF2 or UHRF1 in three JLat models of latency spontaneously increased HIV transcription. To verify this effect, we developed a CRISPR-compatible resting primary human CD4+ T cell model of latency. Using this system, we found that deletion of TRAF2 or UHRF1 initiated latency reactivation and increased virus production from primary human resting CD4+ T cells, suggesting these two E3s represent promising targets for future HIV latency reversal strategies. IMPORTANCE HIV, the virus that causes AIDS, heavily relies on the machinery of human cells to infect and replicate. Our study focuses on the host cell's ubiquitination system which is crucial for numerous cellular processes. Many pathogens, including HIV, exploit this system to enhance their own replication and survival. E3 proteins are part of the ubiquitination pathway that are useful drug targets for host-directed therapies. We interrogated the 116 E3s found in human immune cells known as CD4+ T cells, since these are the target cells infected by HIV. Using CRISPR, a gene-editing tool, we individually removed each of these enzymes and observed the impact on HIV infection in human CD4+ T cells isolated from healthy donors. We discovered that 10 of the E3 enzymes had a significant effect on HIV infection. Two of them, TRAF2 and UHRF1, modulated HIV activity within the cells and triggered an increased release of HIV from previously dormant or "latent" cells in a new primary T cell assay. This finding could guide strategies to perturb hidden HIV reservoirs, a major hurdle to curing HIV. Our study offers insights into HIV-host interactions, identifies new factors that influence HIV infection in immune cells, and introduces a novel methodology for studying HIV infection and latency in human immune cells.
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Affiliation(s)
- Ujjwal Rathore
- Gladstone Institutes, San Francisco, California, USA
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
- Innovative Genomics Institute, University of California, Berkeley, California, USA
| | - Paige Haas
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Vigneshwari Easwar Kumar
- Gladstone Institutes, San Francisco, California, USA
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
- Innovative Genomics Institute, University of California, Berkeley, California, USA
| | - Joseph Hiatt
- Gladstone Institutes, San Francisco, California, USA
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
- Innovative Genomics Institute, University of California, Berkeley, California, USA
- Medical Scientist Training Program, University of California, San Francisco, California, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, California, USA
| | - Kelsey M. Haas
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Mehdi Bouhaddou
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Danielle L. Swaney
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Erica Stevenson
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Lorena Zuliani-Alvarez
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Michael J. McGregor
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | | | - Charles Ochieng' Olwal
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
- Department of Biochemistry, Cell & Molecular Biology, College of Basic & Applied Sciences, University of Ghana, Accra, Ghana
| | - Yaw Bediako
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
- Department of Biochemistry, Cell & Molecular Biology, College of Basic & Applied Sciences, University of Ghana, Accra, Ghana
| | - Hannes Braberg
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Margaret Soucheray
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Melanie Ott
- Gladstone Institutes, San Francisco, California, USA
| | - Manon Eckhardt
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Judd F. Hultquist
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Pathogen Genomics and Microbial Evolution, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Alexander Marson
- Gladstone Institutes, San Francisco, California, USA
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
- Innovative Genomics Institute, University of California, Berkeley, California, USA
- Department of Medicine, University of California, San Francisco, California, USA
- Diabetes Center, University of California, San Francisco, California, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California, USA
- Parker Institute for Cancer Immunotherapy, University of California, San Francisco, California, USA
- Institute for Human Genetics, University of California, San Francisco, California, USA
| | - Robyn M. Kaake
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Nevan J. Krogan
- Gladstone Institutes, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
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2
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Ostacolo K, López García de Lomana A, Larat C, Hjaltalin V, Holm KY, Hlynsdóttir SS, Soucheray M, Sooman L, Rolfsson O, Krogan NJ, Steingrimsson E, Swaney DL, Ogmundsdottir MH. ATG7(2) Interacts With Metabolic Proteins and Regulates Central Energy Metabolism. Traffic 2024; 25:e12933. [PMID: 38600522 DOI: 10.1111/tra.12933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 03/01/2024] [Accepted: 03/10/2024] [Indexed: 04/12/2024]
Abstract
Macroautophagy/autophagy is an essential catabolic process that targets a wide variety of cellular components including proteins, organelles, and pathogens. ATG7, a protein involved in the autophagy process, plays a crucial role in maintaining cellular homeostasis and can contribute to the development of diseases such as cancer. ATG7 initiates autophagy by facilitating the lipidation of the ATG8 proteins in the growing autophagosome membrane. The noncanonical isoform ATG7(2) is unable to perform ATG8 lipidation; however, its cellular regulation and function are unknown. Here, we uncovered a distinct regulation and function of ATG7(2) in contrast with ATG7(1), the canonical isoform. First, affinity-purification mass spectrometry analysis revealed that ATG7(2) establishes direct protein-protein interactions (PPIs) with metabolic proteins, whereas ATG7(1) primarily interacts with autophagy machinery proteins. Furthermore, we identified that ATG7(2) mediates a decrease in metabolic activity, highlighting a novel splice-dependent function of this important autophagy protein. Then, we found a divergent expression pattern of ATG7(1) and ATG7(2) across human tissues. Conclusively, our work uncovers the divergent patterns of expression, protein interactions, and function of ATG7(2) in contrast to ATG7(1). These findings suggest a molecular switch between main catabolic processes through isoform-dependent expression of a key autophagy gene.
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Affiliation(s)
- Kevin Ostacolo
- Department of Anatomy, Biomedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Adrián López García de Lomana
- Department of Biochemistry and Molecular Biology, Biomedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Clémence Larat
- Department of Anatomy, Biomedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Valgerdur Hjaltalin
- Department of Anatomy, Biomedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Kristrun Yr Holm
- Department of Anatomy, Biomedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Sigríður S Hlynsdóttir
- Department of Anatomy, Biomedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Margaret Soucheray
- Gladstone Institutes, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
| | - Linda Sooman
- Department of Anatomy, Biomedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Ottar Rolfsson
- Department of Biochemistry and Molecular Biology, Biomedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Nevan J Krogan
- Gladstone Institutes, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
| | - Eirikur Steingrimsson
- Department of Biochemistry and Molecular Biology, Biomedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Danielle L Swaney
- Gladstone Institutes, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
| | - Margret H Ogmundsdottir
- Department of Anatomy, Biomedical Center, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
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3
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Steinbach A, Bhadkamkar V, Jimenez-Morales D, Stevenson E, Jang GM, Krogan NJ, Swaney DL, Mukherjee S. Cross-family small GTPase ubiquitination by the intracellular pathogen Legionella pneumophila. Mol Biol Cell 2024; 35:ar27. [PMID: 38117589 PMCID: PMC10916871 DOI: 10.1091/mbc.e23-06-0260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 12/04/2023] [Accepted: 12/13/2023] [Indexed: 12/22/2023] Open
Abstract
The intracellular bacterial pathogen Legionella pneumophila (L.p.) manipulates eukaryotic host ubiquitination machinery to form its replicative vacuole. While nearly 10% of L.p.'s ∼330 secreted effector proteins are ubiquitin ligases or deubiquitinases, a comprehensive measure of temporally resolved changes in the endogenous host ubiquitinome during infection has not been undertaken. To elucidate how L.p. hijacks host cell ubiquitin signaling, we generated a proteome-wide analysis of changes in protein ubiquitination during infection. We discover that L.p. infection increases ubiquitination of host regulators of subcellular trafficking and membrane dynamics, most notably ∼40% of mammalian Ras superfamily small GTPases. We determine that these small GTPases undergo nondegradative ubiquitination at the Legionella-containing vacuole (LCV) membrane. Finally, we find that the bacterial effectors SidC/SdcA play a central role in cross-family small GTPase ubiquitination, and that these effectors function upstream of SidE family ligases in the polyubiquitination and retention of GTPases in the LCV membrane. This work highlights the extensive reconfiguration of host ubiquitin signaling by bacterial effectors during infection and establishes simultaneous ubiquitination of small GTPases across the Ras superfamily as a novel consequence of L.p. infection. Our findings position L.p. as a tool to better understand how small GTPases can be regulated by ubiquitination in uninfected contexts.
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Affiliation(s)
- Adriana Steinbach
- Department of Microbiology and Immunology, University of California, San Francisco, CA 94143
- George Williams Hooper Foundation, University of California, San Francisco, CA 94143
| | - Varun Bhadkamkar
- Department of Microbiology and Immunology, University of California, San Francisco, CA 94143
- George Williams Hooper Foundation, University of California, San Francisco, CA 94143
| | - David Jimenez-Morales
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA 94158
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, CA 94309
| | - Erica Stevenson
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA 94158
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158
- Quantitative Biosciences Institute, University of California, San Francisco, CA 94158
| | - Gwendolyn M. Jang
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA 94158
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158
- Quantitative Biosciences Institute, University of California, San Francisco, CA 94158
| | - Nevan J. Krogan
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA 94158
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158
- Quantitative Biosciences Institute, University of California, San Francisco, CA 94158
| | - Danielle L. Swaney
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA 94158
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158
- Quantitative Biosciences Institute, University of California, San Francisco, CA 94158
| | - Shaeri Mukherjee
- Department of Microbiology and Immunology, University of California, San Francisco, CA 94143
- George Williams Hooper Foundation, University of California, San Francisco, CA 94143
- Chan Zuckerberg Biohub, San Francisco, CA 94158
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4
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Patino R, Kühn MJ, Macmillan H, Inclan YF, Chavez I, Von Dollen J, Johnson JR, Swaney DL, Krogan NJ, Persat A, Engel JN. Spatial control of sensory adaptation modulates mechanosensing in Pseudomonas aeruginosa. bioRxiv 2024:2024.02.27.582188. [PMID: 38464290 PMCID: PMC10925122 DOI: 10.1101/2024.02.27.582188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Sensory signaling pathways use adaptation to dynamically respond to changes in their environment. Here, we report the mechanism of sensory adaptation in the Pil-Chp mechanosensory system, which the important human pathogen Pseudomonas aeruginosa uses to sense mechanical stimuli during surface exploration. Using biochemistry, genetics, and cell biology, we discovered that the enzymes responsible for adaptation, a methyltransferase and a methylesterase, are segregated to opposing cell poles as P. aeruginosa explore surfaces. By coordinating the localization of both enzymes, we found that the Pil-Chp response regulators influence local receptor methylation, the molecular basis of bacterial sensory adaptation. We propose a model in which adaptation during mechanosensing spatially resets local receptor methylation, and thus Pil-Chp signaling, to modulate the pathway outputs, which are involved in P. aeruginosa virulence. Despite decades of bacterial sensory adaptation studies, our work has uncovered an unrecognized mechanism that bacteria use to achieve adaptation to sensory stimuli.
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5
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Herrera CM, McMahon E, Swaney DL, Sherry J, Pha K, Adams-Boone K, Johnson JR, Krogan NJ, Stevers M, Solomon D, Elwell C, Engel J. The Chlamydia trachomatis Inc Tri1 interacts with TRAF7 to displace native TRAF7 interacting partners. bioRxiv 2024:2024.02.26.581999. [PMID: 38464023 PMCID: PMC10925117 DOI: 10.1101/2024.02.26.581999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Chlamydia trachomatis is the leading cause of bacterial sexually transmitted infections in the US and of preventable blindness worldwide. This obligate intracellular pathogen replicates within a membrane-bound inclusion, but how it acquires nutrients from the host while avoiding detection by the innate immune system is incompletely understood. C. trachomatis accomplishes this in part through the translocation of a unique set of effectors into the inclusion membrane, the inc lusion membrane proteins (Incs). Incs are ideally positioned at the host-pathogen interface to reprogram host signaling by redirecting proteins or organelles to the inclusion. Using a combination of co-affinity purification, immunofluorescence confocal imaging, and proteomics, we characterize the interaction between an early-expressed Inc of unknown function, Tri1, and tumor necrosis factor receptor associated factor 7 (TRAF7). TRAF7 is a multi-domain protein with a RING finger ubiquitin ligase domain and a C-terminal WD40 domain. TRAF7 regulates several innate immune signaling pathways associated with C. trachomatis infection and is mutated in a subset of tumors. We demonstrate that Tri1 and TRAF7 specifically interact during infection and that TRAF7 is recruited to the inclusion. We further show that the predicted coiled-coil domain of Tri1 is necessary to interact with the TRAF7 WD40 domain. Finally, we demonstrate that Tri1 displaces the native TRAF7 binding partners, mitogen activated protein kinase kinase kinase 2 (MEKK2) and MEKK3. Together, our results suggest that by displacing TRAF7 native binding partners, Tri1 has the capacity to alter TRAF7 signaling during C. trachomatis infection. Importance Chlamydia trachomatis is the leading cause of bacterial sexually transmitted infections in the US and preventable blindness worldwide. Although easily treated with antibiotics, the vast majority of infections are asymptomatic and therefore go untreated, leading to infertility and blindness. This obligate intracellular pathogen evades the immune response, which contributes to these outcomes. Here, we characterize the interaction between a C. trachomatis secreted effector, Tri1, and a host protein involved in innate immune signaling, TRAF7. We identified host proteins that bind to TRAF7 and demonstrate that Tri1 can displace these proteins upon binding to TRAF7. Remarkably, the region of TRAF7 to which these host proteins bind is often mutated in a subset of human tumors. Our work suggests a mechanism by which Tri1 may alter TRAF7 signaling and has implications not only in the pathogenesis of C. trachomatis infections, but also in understanding the role of TRAF7 in cancer.
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6
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Wang B, Vartak R, Zaltsman Y, Naing ZZC, Hennick KM, Polacco BJ, Bashir A, Eckhardt M, Bouhaddou M, Xu J, Sun N, Lasser MC, Zhou Y, McKetney J, Guiley KZ, Chan U, Kaye JA, Chadha N, Cakir M, Gordon M, Khare P, Drake S, Drury V, Burke DF, Gonzalez S, Alkhairy S, Thomas R, Lam S, Morris M, Bader E, Seyler M, Baum T, Krasnoff R, Wang S, Pham P, Arbalaez J, Pratt D, Chag S, Mahmood N, Rolland T, Bourgeron T, Finkbeiner S, Swaney DL, Bandyopadhay S, Ideker T, Beltrao P, Willsey HR, Obernier K, Nowakowski TJ, Hüttenhain R, State MW, Willsey AJ, Krogan NJ. A foundational atlas of autism protein interactions reveals molecular convergence. bioRxiv 2024:2023.12.03.569805. [PMID: 38076945 PMCID: PMC10705567 DOI: 10.1101/2023.12.03.569805] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Translating high-confidence (hc) autism spectrum disorder (ASD) genes into viable treatment targets remains elusive. We constructed a foundational protein-protein interaction (PPI) network in HEK293T cells involving 100 hcASD risk genes, revealing over 1,800 PPIs (87% novel). Interactors, expressed in the human brain and enriched for ASD but not schizophrenia genetic risk, converged on protein complexes involved in neurogenesis, tubulin biology, transcriptional regulation, and chromatin modification. A PPI map of 54 patient-derived missense variants identified differential physical interactions, and we leveraged AlphaFold-Multimer predictions to prioritize direct PPIs and specific variants for interrogation in Xenopus tropicalis and human forebrain organoids. A mutation in the transcription factor FOXP1 led to reconfiguration of DNA binding sites and altered development of deep cortical layer neurons in forebrain organoids. This work offers new insights into molecular mechanisms underlying ASD and describes a powerful platform to develop and test therapeutic strategies for many genetically-defined conditions.
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7
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Liu SJ, Casey-Clyde T, Cho NW, Swinderman J, Pekmezci M, Dougherty MC, Foster K, Chen WC, Villanueva-Meyer JE, Swaney DL, Vasudevan HN, Choudhury A, Pak J, Breshears JD, Lang UE, Eaton CD, Hiam-Galvez KJ, Stevenson E, Chen KH, Lien BV, Wu D, Braunstein SE, Sneed PK, Magill ST, Lim D, McDermott MW, Berger MS, Perry A, Krogan NJ, Hansen MR, Spitzer MH, Gilbert L, Theodosopoulos PV, Raleigh DR. Epigenetic reprogramming shapes the cellular landscape of schwannoma. Nat Commun 2024; 15:476. [PMID: 38216587 PMCID: PMC10786948 DOI: 10.1038/s41467-023-40408-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/25/2023] [Indexed: 01/14/2024] Open
Abstract
Mechanisms specifying cancer cell states and response to therapy are incompletely understood. Here we show epigenetic reprogramming shapes the cellular landscape of schwannomas, the most common tumors of the peripheral nervous system. We find schwannomas are comprised of 2 molecular groups that are distinguished by activation of neural crest or nerve injury pathways that specify tumor cell states and the architecture of the tumor immune microenvironment. Moreover, we find radiotherapy is sufficient for interconversion of neural crest schwannomas to immune-enriched schwannomas through epigenetic and metabolic reprogramming. To define mechanisms underlying schwannoma groups, we develop a technique for simultaneous interrogation of chromatin accessibility and gene expression coupled with genetic and therapeutic perturbations in single-nuclei. Our results elucidate a framework for understanding epigenetic drivers of tumor evolution and establish a paradigm of epigenetic and metabolic reprograming of cancer cells that shapes the immune microenvironment in response to radiotherapy.
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Affiliation(s)
- S John Liu
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
- Arc Institute, Palo Alto, CA, 94304, USA
| | - Tim Casey-Clyde
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Nam Woo Cho
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
- Parker Institute for Cancer Immunotherapy, Chan Zuckerberg Biohub, and Departments of Otolaryngology, and Microbiology and Immunology, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Jason Swinderman
- Arc Institute, Palo Alto, CA, 94304, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Melike Pekmezci
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Mark C Dougherty
- Departments of Otolaryngology and Neurosurgery, University of Iowa, Iowa City, IA, 52242, USA
| | - Kyla Foster
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - William C Chen
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Danielle L Swaney
- J. David Gladstone Institutes, California Institute for Quantitative Biosciences, Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Harish N Vasudevan
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Abrar Choudhury
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Joanna Pak
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
- Arc Institute, Palo Alto, CA, 94304, USA
| | - Jonathan D Breshears
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Ursula E Lang
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Dermatology, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Charlotte D Eaton
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Kamir J Hiam-Galvez
- Parker Institute for Cancer Immunotherapy, Chan Zuckerberg Biohub, and Departments of Otolaryngology, and Microbiology and Immunology, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Erica Stevenson
- J. David Gladstone Institutes, California Institute for Quantitative Biosciences, Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Kuei-Ho Chen
- J. David Gladstone Institutes, California Institute for Quantitative Biosciences, Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Brian V Lien
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | - David Wu
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Steve E Braunstein
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Penny K Sneed
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Stephen T Magill
- Department of Neurological Surgery, Northwestern University, Chicago, IL, 60611, USA
| | - Daniel Lim
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | | | - Mitchel S Berger
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Arie Perry
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Nevan J Krogan
- J. David Gladstone Institutes, California Institute for Quantitative Biosciences, Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Marlan R Hansen
- Departments of Otolaryngology and Neurosurgery, University of Iowa, Iowa City, IA, 52242, USA
| | - Matthew H Spitzer
- Parker Institute for Cancer Immunotherapy, Chan Zuckerberg Biohub, and Departments of Otolaryngology, and Microbiology and Immunology, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Luke Gilbert
- Arc Institute, Palo Alto, CA, 94304, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Philip V Theodosopoulos
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | - David R Raleigh
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA.
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA.
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
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8
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Krause GJ, Kirchner P, Stiller B, Morozova K, Diaz A, Chen KH, Krogan NJ, Agullo-Pascual E, Clement CC, Lindenau K, Swaney DL, Dilipkumar S, Bravo-Cordero JJ, Santambrogio L, Cuervo AM. Molecular determinants of the crosstalk between endosomal microautophagy and chaperone-mediated autophagy. Cell Rep 2023; 42:113529. [PMID: 38060380 PMCID: PMC10807933 DOI: 10.1016/j.celrep.2023.113529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 09/12/2023] [Accepted: 11/17/2023] [Indexed: 12/30/2023] Open
Abstract
Chaperone-mediated autophagy (CMA) and endosomal microautophagy (eMI) are pathways for selective degradation of cytosolic proteins in lysosomes and late endosomes, respectively. These autophagic processes share as a first step the recognition of the same five-amino-acid motif in substrate proteins by the Hsc70 chaperone, raising the possibility of coordinated activity of both pathways. In this work, we show the existence of a compensatory relationship between CMA and eMI and identify a role for the chaperone protein Bag6 in triage and internalization of eMI substrates into late endosomes. Association and dynamics of Bag6 at the late endosome membrane change during starvation, a stressor that, contrary to other autophagic pathways, causes a decline in eMI activity. Collectively, these results show a coordinated function of eMI with CMA, identify the interchangeable subproteome degraded by these pathways, and start to elucidate the molecular mechanisms that facilitate the switch between them.
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Affiliation(s)
- Gregory J Krause
- Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Institute for Aging Studies, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Philipp Kirchner
- Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Institute for Aging Studies, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Barbara Stiller
- Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Institute for Aging Studies, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Kateryna Morozova
- Department of Radiation Oncology, Weill Cornell School of Medicine, New York, NY 10021, USA
| | - Antonio Diaz
- Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Institute for Aging Studies, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Kuei-Ho Chen
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; The J. David Gladstone Institutes, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Nevan J Krogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; The J. David Gladstone Institutes, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | | | - Cristina C Clement
- Department of Radiation Oncology, Weill Cornell School of Medicine, New York, NY 10021, USA
| | - Kristen Lindenau
- Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Institute for Aging Studies, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Danielle L Swaney
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; The J. David Gladstone Institutes, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Shilpa Dilipkumar
- Microscopy CoRE, Dean's CoREs, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jose Javier Bravo-Cordero
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Laura Santambrogio
- Department of Radiation Oncology, Weill Cornell School of Medicine, New York, NY 10021, USA.
| | - Ana Maria Cuervo
- Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Institute for Aging Studies, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
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9
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Chen X, Haribowo AG, Baik AH, Fossati A, Stevenson E, Chen YR, Reyes NS, Peng T, Matthay MA, Traglia M, Pico AR, Jarosz DF, Buchwalter A, Ghaemmaghami S, Swaney DL, Jain IH. In vivo protein turnover rates in varying oxygen tensions nominate MYBBP1A as a mediator of the hyperoxia response. Sci Adv 2023; 9:eadj4884. [PMID: 38064566 PMCID: PMC10708181 DOI: 10.1126/sciadv.adj4884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/08/2023] [Indexed: 12/18/2023]
Abstract
Oxygen deprivation and excess are both toxic. Thus, the body's ability to adapt to varying oxygen tensions is critical for survival. While the hypoxia transcriptional response has been well studied, the post-translational effects of oxygen have been underexplored. In this study, we systematically investigate protein turnover rates in mouse heart, lung, and brain under different inhaled oxygen tensions. We find that the lung proteome is the most responsive to varying oxygen tensions. In particular, several extracellular matrix (ECM) proteins are stabilized in the lung under both hypoxia and hyperoxia. Furthermore, we show that complex 1 of the electron transport chain is destabilized in hyperoxia, in accordance with the exacerbation of associated disease models by hyperoxia and rescue by hypoxia. Moreover, we nominate MYBBP1A as a hyperoxia transcriptional regulator, particularly in the context of rRNA homeostasis. Overall, our study highlights the importance of varying oxygen tensions on protein turnover rates and identifies tissue-specific mediators of oxygen-dependent responses.
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Affiliation(s)
- Xuewen Chen
- Institute of Cardiovascular Disease, Gladstone Institutes, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California San Francisco, San Francisco, CA, USA
| | - Augustinus G. Haribowo
- Institute of Cardiovascular Disease, Gladstone Institutes, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Alan H. Baik
- Institute of Cardiovascular Disease, Gladstone Institutes, San Francisco, CA, USA
- Department of Medicine, Division of Cardiology, University of California San Francisco, San Francisco, CA, USA
| | - Andrea Fossati
- Institute of Cardiovascular Disease, Gladstone Institutes, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Erica Stevenson
- Institute of Cardiovascular Disease, Gladstone Institutes, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Yiwen R. Chen
- Department of Chemical and Systems Biology, Stanford University, Stanford, CA, USA
| | - Nabora S. Reyes
- Department of Medicine and Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Tien Peng
- Department of Medicine and Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California San Francisco, San Francisco, CA, USA
- Bakar Aging Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Michael A. Matthay
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
- Departments of Medicine and Anesthesia, University of California San Francisco, San Francisco, CA, USA
| | - Michela Traglia
- Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA
| | - Alexander R. Pico
- Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA
| | - Daniel F. Jarosz
- Department of Chemical and Systems Biology, Stanford University, Stanford, CA, USA
- Department of Developmental Biology, Stanford University, CA, USA
| | - Abigail Buchwalter
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
- Department of Physiology, University of California San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Sina Ghaemmaghami
- Mass Spectrometry Resource Laboratory, University of Rochester, Rochester, NY, USA
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - Danielle L. Swaney
- Institute of Cardiovascular Disease, Gladstone Institutes, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Isha H. Jain
- Institute of Cardiovascular Disease, Gladstone Institutes, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
- Bakar Aging Research Institute, University of California San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
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10
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Arang N, Lubrano S, Ceribelli M, Rigiracciolo DC, Saddawi-Konefka R, Faraji F, Ramirez SI, Kim D, Tosto FA, Stevenson E, Zhou Y, Wang Z, Bogomolovas J, Molinolo AA, Swaney DL, Krogan NJ, Yang J, Coma S, Pachter JA, Aplin AE, Alessi DR, Thomas CJ, Gutkind JS. High-throughput chemogenetic drug screening reveals PKC-RhoA/PKN as a targetable signaling vulnerability in GNAQ-driven uveal melanoma. Cell Rep Med 2023; 4:101244. [PMID: 37858338 PMCID: PMC10694608 DOI: 10.1016/j.xcrm.2023.101244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 09/08/2023] [Accepted: 09/22/2023] [Indexed: 10/21/2023]
Abstract
Uveal melanoma (UM) is the most prevalent cancer of the eye in adults, driven by activating mutation of GNAQ/GNA11; however, there are limited therapies against UM and metastatic UM (mUM). Here, we perform a high-throughput chemogenetic drug screen in GNAQ-mutant UM contrasted with BRAF-mutant cutaneous melanoma, defining the druggable landscape of these distinct melanoma subtypes. Across all compounds, darovasertib demonstrates the highest preferential activity against UM. Our investigation reveals that darovasertib potently inhibits PKC as well as PKN/PRK, an AGC kinase family that is part of the "dark kinome." We find that downstream of the Gαq-RhoA signaling axis, PKN converges with ROCK to control FAK, a mediator of non-canonical Gαq-driven signaling. Strikingly, darovasertib synergizes with FAK inhibitors to halt UM growth and promote cytotoxic cell death in vitro and in preclinical metastatic mouse models, thus exposing a signaling vulnerability that can be exploited as a multimodal precision therapy against mUM.
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Affiliation(s)
- Nadia Arang
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, CA 92093, USA; Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Simone Lubrano
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; Department of Pharmacy, University of Pisa, Pisa, Italy
| | - Michele Ceribelli
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | | | | | - Farhoud Faraji
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA
| | - Sydney I Ramirez
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA
| | - Daehwan Kim
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Frances A Tosto
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Erica Stevenson
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Zhiyong Wang
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA
| | - Julius Bogomolovas
- School of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Alfredo A Molinolo
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Jing Yang
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA
| | | | | | - Andrew E Aplin
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Dario R Alessi
- Medical Research Council (MRC) Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Craig J Thomas
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - J Silvio Gutkind
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; Department of Pharmacology, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
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11
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Subramanian A, Wang L, Moss T, Voorhies M, Sangwan S, Stevenson E, Pulido EH, Kwok S, Chalkley RJ, Li KH, Krogan NJ, Swaney DL, Burlingame AL, Floor SN, Sil A, Walter P, Mukherjee S. A Legionella toxin exhibits tRNA mimicry and glycosyl transferase activity to target the translation machinery and trigger a ribotoxic stress response. Nat Cell Biol 2023; 25:1600-1615. [PMID: 37857833 PMCID: PMC11005034 DOI: 10.1038/s41556-023-01248-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 09/01/2023] [Indexed: 10/21/2023]
Abstract
A widespread strategy employed by pathogens to establish infection is to inhibit host-cell protein synthesis. Legionella pneumophila, an intracellular bacterial pathogen and the causative organism of Legionnaires' disease, secretes a subset of protein effectors into host cells that inhibit translation elongation. Mechanistic insights into how the bacterium targets translation elongation remain poorly defined. We report here that the Legionella effector SidI functions in an unprecedented way as a transfer-RNA mimic that directly binds to and glycosylates the ribosome. The 3.1 Å cryo-electron microscopy structure of SidI reveals an N-terminal domain with an 'inverted L' shape and surface-charge distribution characteristic of tRNA mimicry, and a C-terminal domain that adopts a glycosyl transferase fold that licenses SidI to utilize GDP-mannose as a sugar precursor. This coupling of tRNA mimicry and enzymatic action endows SidI with the ability to block protein synthesis with a potency comparable to ricin, one of the most powerful toxins known. In Legionella-infected cells, the translational pausing activated by SidI elicits a stress response signature mimicking the ribotoxic stress response, which is activated by elongation inhibitors that induce ribosome collisions. SidI-mediated effects on the ribosome activate the stress kinases ZAKα and p38, which in turn drive an accumulation of the protein activating transcription factor 3 (ATF3). Intriguingly, ATF3 escapes the translation block imposed by SidI, translocates to the nucleus and orchestrates the transcription of stress-inducible genes that promote cell death, revealing a major role for ATF3 in the response to collided ribosome stress. Together, our findings elucidate a novel mechanism by which a pathogenic bacterium employs tRNA mimicry to hijack a ribosome-to-nuclear signalling pathway that regulates cell fate.
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Affiliation(s)
- Advait Subramanian
- G.W. Hooper Foundation, University of California at San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California at San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA
| | - Lan Wang
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA
| | - Tom Moss
- G.W. Hooper Foundation, University of California at San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California at San Francisco, San Francisco, CA, USA
| | - Mark Voorhies
- Department of Microbiology and Immunology, University of California at San Francisco, San Francisco, CA, USA
| | - Smriti Sangwan
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA
| | - Erica Stevenson
- Gladstone Institute of Data Science and Biotechnology, J. Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California at San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute, University of California at San Francisco, San Francisco, CA, USA
| | - Ernst H Pulido
- Gladstone Institute of Data Science and Biotechnology, J. Gladstone Institutes, San Francisco, CA, USA
| | - Samentha Kwok
- Department of Cell and Tissue Biology, University of California at San Francisco, San Francisco, CA, USA
| | - Robert J Chalkley
- Mass Spectrometry Facility, Department of Pharmaceutical Chemistry, University of California at San Francisco, San Francisco, CA, USA
| | - Kathy H Li
- Mass Spectrometry Facility, Department of Pharmaceutical Chemistry, University of California at San Francisco, San Francisco, CA, USA
| | - Nevan J Krogan
- Gladstone Institute of Data Science and Biotechnology, J. Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California at San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute, University of California at San Francisco, San Francisco, CA, USA
| | - Danielle L Swaney
- Gladstone Institute of Data Science and Biotechnology, J. Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California at San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute, University of California at San Francisco, San Francisco, CA, USA
| | - Alma L Burlingame
- Mass Spectrometry Facility, Department of Pharmaceutical Chemistry, University of California at San Francisco, San Francisco, CA, USA
| | - Stephen N Floor
- Department of Cell and Tissue Biology, University of California at San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, CA, USA
| | - Anita Sil
- Department of Microbiology and Immunology, University of California at San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Peter Walter
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California at San Francisco, San Francisco, CA, USA.
- Bay Area Institute of Science, Altos Labs, Redwood City, CA, USA.
| | - Shaeri Mukherjee
- G.W. Hooper Foundation, University of California at San Francisco, San Francisco, CA, USA.
- Department of Microbiology and Immunology, University of California at San Francisco, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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12
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Lin Z, Schaefer K, Lui I, Yao Z, Fossati A, Swaney DL, Palar A, Sali A, Wells JA. Multi-scale photocatalytic proximity labeling reveals cell surface neighbors on and between cells. bioRxiv 2023:2023.10.28.564055. [PMID: 37961561 PMCID: PMC10634877 DOI: 10.1101/2023.10.28.564055] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
The cell membrane proteome is the primary biohub for cell communication, yet we are only beginning to understand the dynamic protein neighborhoods that form on the cell surface and between cells. Proximity labeling proteomics (PLP) strategies using chemically reactive probes are powerful approaches to yield snapshots of protein neighborhoods but are currently limited to one single resolution based on the probe labeling radius. Here, we describe a multi-scale PLP method with tunable resolution using a commercially available histological dye, Eosin Y, which upon visible light illumination, activates three different photo-probes with labeling radii ranging from ∼100 to 3000 Å. We applied this platform to profile neighborhoods of the oncogenic epidermal growth factor receptor (EGFR) and orthogonally validated >20 neighbors using immuno-assays and AlphaFold-Multimer prediction that generated plausible binary interaction models. We further profiled the protein neighborhoods of cell-cell synapses induced by bi-specific T-cell engagers (BiTEs) and chimeric antigen receptor (CAR)T cells at longer length scales. This integrated multi-scale PLP platform maps local and distal protein networks on cell surfaces and between cells. We believe this information will aid in the systematic construction of the cell surface interactome and reveal new opportunities for immunotherapeutics.
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13
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Bouhaddou M, Reuschl AK, Polacco BJ, Thorne LG, Ummadi MR, Ye C, Rosales R, Pelin A, Batra J, Jang GM, Xu J, Moen JM, Richards AL, Zhou Y, Harjai B, Stevenson E, Rojc A, Ragazzini R, Whelan MVX, Furnon W, De Lorenzo G, Cowton V, Syed AM, Ciling A, Deutsch N, Pirak D, Dowgier G, Mesner D, Turner JL, McGovern BL, Rodriguez ML, Leiva-Rebollo R, Dunham AS, Zhong X, Eckhardt M, Fossati A, Liotta NF, Kehrer T, Cupic A, Rutkowska M, Mena I, Aslam S, Hoffert A, Foussard H, Olwal CO, Huang W, Zwaka T, Pham J, Lyons M, Donohue L, Griffin A, Nugent R, Holden K, Deans R, Aviles P, Lopez-Martin JA, Jimeno JM, Obernier K, Fabius JM, Soucheray M, Hüttenhain R, Jungreis I, Kellis M, Echeverria I, Verba K, Bonfanti P, Beltrao P, Sharan R, Doudna JA, Martinez-Sobrido L, Patel AH, Palmarini M, Miorin L, White K, Swaney DL, Garcia-Sastre A, Jolly C, Zuliani-Alvarez L, Towers GJ, Krogan NJ. SARS-CoV-2 variants evolve convergent strategies to remodel the host response. Cell 2023; 186:4597-4614.e26. [PMID: 37738970 PMCID: PMC10604369 DOI: 10.1016/j.cell.2023.08.026] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 05/22/2023] [Accepted: 08/22/2023] [Indexed: 09/24/2023]
Abstract
SARS-CoV-2 variants of concern (VOCs) emerged during the COVID-19 pandemic. Here, we used unbiased systems approaches to study the host-selective forces driving VOC evolution. We discovered that VOCs evolved convergent strategies to remodel the host by modulating viral RNA and protein levels, altering viral and host protein phosphorylation, and rewiring virus-host protein-protein interactions. Integrative computational analyses revealed that although Alpha, Beta, Gamma, and Delta ultimately converged to suppress interferon-stimulated genes (ISGs), Omicron BA.1 did not. ISG suppression correlated with the expression of viral innate immune antagonist proteins, including Orf6, N, and Orf9b, which we mapped to specific mutations. Later Omicron subvariants BA.4 and BA.5 more potently suppressed innate immunity than early subvariant BA.1, which correlated with Orf6 levels, although muted in BA.4 by a mutation that disrupts the Orf6-nuclear pore interaction. Our findings suggest that SARS-CoV-2 convergent evolution overcame human adaptive and innate immune barriers, laying the groundwork to tackle future pandemics.
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Affiliation(s)
- Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles, Los Angeles, CA, USA; Institute for Quantitative and Computational Biosciences (QCBio), University of California, Los Angeles, Los Angeles, CA, USA; Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Ann-Kathrin Reuschl
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK
| | - Benjamin J Polacco
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Lucy G Thorne
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK
| | - Manisha R Ummadi
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Chengjin Ye
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Romel Rosales
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Adrian Pelin
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jyoti Batra
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Gwendolyn M Jang
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jiewei Xu
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jack M Moen
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Alicia L Richards
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Bhavya Harjai
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Erica Stevenson
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Ajda Rojc
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Roberta Ragazzini
- Division of Infection and Immunity, University College London, London, UK; Epithelial Stem Cell Biology and Regenerative Medicine Laboratory, The Francis Crick Institute, London, UK
| | - Matthew V X Whelan
- Division of Infection and Immunity, University College London, London, UK
| | - Wilhelm Furnon
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Giuditta De Lorenzo
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Vanessa Cowton
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Abdullah M Syed
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Alison Ciling
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Noa Deutsch
- School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Daniel Pirak
- School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Giulia Dowgier
- COVID Surveillance Unit, The Francis Crick Institute, London, UK
| | - Dejan Mesner
- Division of Infection and Immunity, University College London, London, UK
| | - Jane L Turner
- Division of Infection and Immunity, University College London, London, UK
| | - Briana L McGovern
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - M Luis Rodriguez
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rocio Leiva-Rebollo
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alistair S Dunham
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Saffron Walden, UK
| | - Xiaofang Zhong
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Manon Eckhardt
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Andrea Fossati
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Nicholas F Liotta
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA
| | - Thomas Kehrer
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anastasija Cupic
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Magdalena Rutkowska
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ignacio Mena
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sadaf Aslam
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alyssa Hoffert
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Helene Foussard
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Charles Ochieng' Olwal
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana; Department of Biochemistry, Cell and Molecular Biology, College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | - Weiqing Huang
- Huffington Center for Cell-based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas Zwaka
- Huffington Center for Cell-based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John Pham
- Synthego Corporation, Redwood City, CA, USA
| | | | | | | | | | | | | | | | | | | | - Kirsten Obernier
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jacqueline M Fabius
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Margaret Soucheray
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Ruth Hüttenhain
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Irwin Jungreis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ignacia Echeverria
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Kliment Verba
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Paola Bonfanti
- Division of Infection and Immunity, University College London, London, UK; Epithelial Stem Cell Biology and Regenerative Medicine Laboratory, The Francis Crick Institute, London, UK
| | - Pedro Beltrao
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK; Institute of Molecular Systems Biology, Department of Biology, ETH Zürich, Zurich, Switzerland
| | - Roded Sharan
- School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Jennifer A Doudna
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA; Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA; California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Luis Martinez-Sobrido
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Arvind H Patel
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Massimo Palmarini
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Lisa Miorin
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kris White
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Adolfo Garcia-Sastre
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Clare Jolly
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK.
| | - Lorena Zuliani-Alvarez
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA.
| | - Greg J Towers
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK.
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA.
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14
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Kehrer T, Cupic A, Ye C, Yildiz S, Bouhaddou M, Crossland NA, Barrall EA, Cohen P, Tseng A, Çağatay T, Rathnasinghe R, Flores D, Jangra S, Alam F, Mena I, Aslam S, Saqi A, Rutkowska M, Ummadi MR, Pisanelli G, Richardson RB, Veit EC, Fabius JM, Soucheray M, Polacco BJ, Ak B, Marin A, Evans MJ, Swaney DL, Gonzalez-Reiche AS, Sordillo EM, van Bakel H, Simon V, Zuliani-Alvarez L, Fontoura BMA, Rosenberg BR, Krogan NJ, Martinez-Sobrido L, García-Sastre A, Miorin L. Impact of SARS-CoV-2 ORF6 and its variant polymorphisms on host responses and viral pathogenesis. Cell Host Microbe 2023; 31:1668-1684.e12. [PMID: 37738983 PMCID: PMC10750313 DOI: 10.1016/j.chom.2023.08.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 07/01/2023] [Accepted: 08/07/2023] [Indexed: 09/24/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) encodes several proteins that inhibit host interferon responses. Among these, ORF6 antagonizes interferon signaling by disrupting nucleocytoplasmic trafficking through interactions with the nuclear pore complex components Nup98-Rae1. However, the roles and contributions of ORF6 during physiological infection remain unexplored. We assessed the role of ORF6 during infection using recombinant viruses carrying a deletion or loss-of-function (LoF) mutation in ORF6. ORF6 plays key roles in interferon antagonism and viral pathogenesis by interfering with nuclear import and specifically the translocation of IRF and STAT transcription factors. Additionally, ORF6 inhibits cellular mRNA export, resulting in the remodeling of the host cell proteome, and regulates viral protein expression. Interestingly, the ORF6:D61L mutation that emerged in the Omicron BA.2 and BA.4 variants exhibits reduced interactions with Nup98-Rae1 and consequently impairs immune evasion. Our findings highlight the role of ORF6 in antagonizing innate immunity and emphasize the importance of studying the immune evasion strategies of SARS-CoV-2.
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Affiliation(s)
- Thomas Kehrer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anastasija Cupic
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chengjin Ye
- Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Soner Yildiz
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles, Los Angeles, CA 90024, USA; Institute for Quantitative and Computational Biosciences (OCBio), University of California, Los Angeles, Los Angeles, CA 90024, USA; Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA 90024, USA
| | - Nicholas A Crossland
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA 02215, USA; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Erika A Barrall
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Phillip Cohen
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anna Tseng
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA 02215, USA; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Tolga Çağatay
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Raveen Rathnasinghe
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daniel Flores
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sonia Jangra
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Fahmida Alam
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ignacio Mena
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sadaf Aslam
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anjali Saqi
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Magdalena Rutkowska
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Manisha R Ummadi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Giuseppe Pisanelli
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Veterinary Medicine and Animal Production, University of Naples Federico II, 80137 Naples, Italy
| | - R Blake Richardson
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ethan C Veit
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Baran Ak
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Arturo Marin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Matthew J Evans
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Ana S Gonzalez-Reiche
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Emilia M Sordillo
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Harm van Bakel
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Viviana Simon
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness (C-VARPP), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lorena Zuliani-Alvarez
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Beatriz M A Fontoura
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Brad R Rosenberg
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | | | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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15
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Krogsaeter EK, McKetney J, Marquez A, Cakir Z, Stevenson E, Jang GM, Rao A, Zhou A, Huang Y, Krogan NJ, Swaney DL. Lysosomal proteomics reveals mechanisms of neuronal apoE4associated lysosomal dysfunction. bioRxiv 2023:2023.10.02.560519. [PMID: 37873080 PMCID: PMC10592882 DOI: 10.1101/2023.10.02.560519] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
ApoE4 is the primary risk factor for Alzheimer's Disease. While apoE is primarily expressed by astrocytes, AD pathology including endosomal abnormalities and mitochondrial dysfunction first occurs in neurons. Lysosomes are poised at the convergence point between these features. We find that apoE4-expressing cells exhibit lysosomal alkalinization, reduced lysosomal proteolysis, and impaired mitophagy. To identify driving factors for this lysosomal dysfunction, we performed quantitative lysosomal proteome profiling. This revealed that apoE4 expression results in lysosomal depletion of Lgals3bp and accumulation of Tmed5 in both Neuro-2a cells and postmitotic human neurons. Modulating the expression of both proteins affected lysosomal function, with Tmed5 knockdown rescuing lysosomal alkalinization in apoE4 cells, and Lgals3bp knockdown causing lysosomal alkalinization and reduced lysosomal density in apoE3 cells. Taken together, our work reveals that apoE4 exerts gain-of-toxicity by alkalinizing the lysosomal lumen, pinpointing lysosomal Tmed5 accumulation and Lgals3bp depletion as apoE4-associated drivers for this phenotype.
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Affiliation(s)
- Einar K. Krogsaeter
- Gladstone Data Science and Biotechnology Institute, The J. David Gladstone Institutes, San Francisco, California, USA
- Quantitative Bioscience Institute, University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- These authors contributed equally
| | - Justin McKetney
- Gladstone Data Science and Biotechnology Institute, The J. David Gladstone Institutes, San Francisco, California, USA
- Quantitative Bioscience Institute, University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- These authors contributed equally
| | - Angelica Marquez
- Gladstone Data Science and Biotechnology Institute, The J. David Gladstone Institutes, San Francisco, California, USA
- Quantitative Bioscience Institute, University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Zeynep Cakir
- Gladstone Data Science and Biotechnology Institute, The J. David Gladstone Institutes, San Francisco, California, USA
- Quantitative Bioscience Institute, University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Erica Stevenson
- Gladstone Data Science and Biotechnology Institute, The J. David Gladstone Institutes, San Francisco, California, USA
- Quantitative Bioscience Institute, University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Gwendolyn M. Jang
- Gladstone Data Science and Biotechnology Institute, The J. David Gladstone Institutes, San Francisco, California, USA
- Quantitative Bioscience Institute, University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Antara Rao
- Gladstone Institute of Neurological Disease, The J. David Gladstone Institutes, San Francisco, USA
- Developmental and Stem Cell Biology Graduate Program, University of California, San Francisco, USA
| | - Anton Zhou
- Gladstone Institute of Neurological Disease, The J. David Gladstone Institutes, San Francisco, USA
| | - Yadong Huang
- Gladstone Institute of Neurological Disease, The J. David Gladstone Institutes, San Francisco, USA
- Developmental and Stem Cell Biology Graduate Program, University of California, San Francisco, USA
- Neuroscience Graduate Program, University of California, San Francisco, USA
- Gladstone Center for Translational Advancement, Gladstone Institutes, San Francisco, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, USA
- Departments of Neurology and Pathology, University of California, San Francisco, USA
| | - Nevan J. Krogan
- Gladstone Data Science and Biotechnology Institute, The J. David Gladstone Institutes, San Francisco, California, USA
- Quantitative Bioscience Institute, University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
| | - Danielle L. Swaney
- Gladstone Data Science and Biotechnology Institute, The J. David Gladstone Institutes, San Francisco, California, USA
- Quantitative Bioscience Institute, University of California, San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
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16
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Haas KM, McGregor MJ, Bouhaddou M, Polacco BJ, Kim EY, Nguyen TT, Newton BW, Urbanowski M, Kim H, Williams MAP, Rezelj VV, Hardy A, Fossati A, Stevenson EJ, Sukerman E, Kim T, Penugonda S, Moreno E, Braberg H, Zhou Y, Metreveli G, Harjai B, Tummino TA, Melnyk JE, Soucheray M, Batra J, Pache L, Martin-Sancho L, Carlson-Stevermer J, Jureka AS, Basler CF, Shokat KM, Shoichet BK, Shriver LP, Johnson JR, Shaw ML, Chanda SK, Roden DM, Carter TC, Kottyan LC, Chisholm RL, Pacheco JA, Smith ME, Schrodi SJ, Albrecht RA, Vignuzzi M, Zuliani-Alvarez L, Swaney DL, Eckhardt M, Wolinsky SM, White KM, Hultquist JF, Kaake RM, García-Sastre A, Krogan NJ. Proteomic and genetic analyses of influenza A viruses identify pan-viral host targets. Nat Commun 2023; 14:6030. [PMID: 37758692 PMCID: PMC10533562 DOI: 10.1038/s41467-023-41442-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 08/31/2023] [Indexed: 09/29/2023] Open
Abstract
Influenza A Virus (IAV) is a recurring respiratory virus with limited availability of antiviral therapies. Understanding host proteins essential for IAV infection can identify targets for alternative host-directed therapies (HDTs). Using affinity purification-mass spectrometry and global phosphoproteomic and protein abundance analyses using three IAV strains (pH1N1, H3N2, H5N1) in three human cell types (A549, NHBE, THP-1), we map 332 IAV-human protein-protein interactions and identify 13 IAV-modulated kinases. Whole exome sequencing of patients who experienced severe influenza reveals several genes, including scaffold protein AHNAK, with predicted loss-of-function variants that are also identified in our proteomic analyses. Of our identified host factors, 54 significantly alter IAV infection upon siRNA knockdown, and two factors, AHNAK and coatomer subunit COPB1, are also essential for productive infection by SARS-CoV-2. Finally, 16 compounds targeting our identified host factors suppress IAV replication, with two targeting CDK2 and FLT3 showing pan-antiviral activity across influenza and coronavirus families. This study provides a comprehensive network model of IAV infection in human cells, identifying functional host targets for pan-viral HDT.
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Affiliation(s)
- Kelsey M Haas
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Michael J McGregor
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Mehdi Bouhaddou
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Benjamin J Polacco
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Eun-Young Kim
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Thong T Nguyen
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
| | - Billy W Newton
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
| | - Matthew Urbanowski
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Heejin Kim
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Michael A P Williams
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Veronica V Rezelj
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France
| | - Alexandra Hardy
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France
| | - Andrea Fossati
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Erica J Stevenson
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Ellie Sukerman
- Division of Infectious Diseases, Oregon Health & Science University, Portland, OR, 97239, USA
| | - Tiffany Kim
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Sudhir Penugonda
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal and IRYCIS, Madrid, Spain
- Centro de Investigación en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Hannes Braberg
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Yuan Zhou
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Giorgi Metreveli
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Bhavya Harjai
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Tia A Tummino
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, 94158, USA
- Graduate Program in Pharmaceutical Sciences and Pharmacogenomics, University of California San Francisco, San Francisco, CA, 94158, USA
| | - James E Melnyk
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Margaret Soucheray
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Jyoti Batra
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Lars Pache
- Infectious and Inflammatory Disease Center, Immunity and Pathogenesis Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 92037, USA
| | - Laura Martin-Sancho
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
- Department of Infectious Disease, Imperial College London, London, SW7 2BX, UK
| | - Jared Carlson-Stevermer
- Synthego Corporation, Redwood City, CA, 94063, USA
- Serotiny Inc., South San Francisco, CA, 94080, USA
| | - Alexander S Jureka
- Molecular Virology and Vaccine Team, Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization & Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, 30333, USA
- General Dynamics Information Technology, Federal Civilian Division, Atlanta, GA, 30329, USA
| | - Christopher F Basler
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Kevan M Shokat
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
| | - Brian K Shoichet
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Leah P Shriver
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO, 63105, USA
- Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, MO, 63105, USA
| | - Jeffrey R Johnson
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Megan L Shaw
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Medical Biosciences, University of the Western Cape, Bellville, 7535, Western Cape, South Africa
| | - Sumit K Chanda
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Dan M Roden
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Tonia C Carter
- Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, 54449, USA
| | - Leah C Kottyan
- Center of Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, 45229, USA
| | - Rex L Chisholm
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Jennifer A Pacheco
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Maureen E Smith
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Steven J Schrodi
- Laboratory of Genetics, School of Medicine and Public Health, University of Wisconsin Madison, Madison, WI, 53706, USA
| | - Randy A Albrecht
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Marco Vignuzzi
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France
| | - Lorena Zuliani-Alvarez
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Danielle L Swaney
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Manon Eckhardt
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Steven M Wolinsky
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Kris M White
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Judd F Hultquist
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
- Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL, 60611, USA.
| | - Robyn M Kaake
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
| | - Adolfo García-Sastre
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Nevan J Krogan
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
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17
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Fossati A, Mozumdar D, Kokontis C, Mèndez-Moran M, Nieweglowska E, Pelin A, Li Y, Guo B, Krogan NJ, Agard DA, Bondy-Denomy J, Swaney DL. Next-generation proteomics for quantitative Jumbophage-bacteria interaction mapping. Nat Commun 2023; 14:5156. [PMID: 37620325 PMCID: PMC10449902 DOI: 10.1038/s41467-023-40724-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 08/07/2023] [Indexed: 08/26/2023] Open
Abstract
Host-pathogen interactions are pivotal in regulating establishment, progression, and outcome of an infection. While affinity-purification mass spectrometry has become instrumental in characterizing such interactions, it suffers from limitations in scalability and biological authenticity. Here we present the use of co-fractionation mass spectrometry for high throughput analysis of host-pathogen interactions from native viral infections of two jumbophages (ϕKZ and ϕPA3) in Pseudomonas aeruginosa. This approach enabled the detection of > 6000 unique host-pathogen interactions for each phage, encompassing > 50% of their respective proteomes. This deep coverage provided evidence for interactions between KZ-like phage proteins and the host ribosome, and revealed protein complexes for previously undescribed phage ORFs, including a ϕPA3 complex showing strong structural and sequence similarity to ϕKZ non-virion RNA polymerase. Interactome-wide comparison across phages showed similar perturbed protein interactions suggesting fundamentally conserved mechanisms of phage predation within the KZ-like phage family. To enable accessibility to this data, we developed PhageMAP, an online resource for network query, visualization, and interaction prediction ( https://phagemap.ucsf.edu/ ). We anticipate this study will lay the foundation for the application of co-fractionation mass spectrometry for the scalable profiling of host-pathogen interactomes and protein complex dynamics upon infection.
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Affiliation(s)
- Andrea Fossati
- J. David Gladstone Institutes, San Francisco, 94158, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, 94158, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Deepto Mozumdar
- Department of Immunology and Microbiology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Claire Kokontis
- Department of Immunology and Microbiology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Melissa Mèndez-Moran
- Department of Biochemistry, University of California San Francisco, San Francisco, 94143, CA, USA
| | - Eliza Nieweglowska
- Department of Biochemistry, University of California San Francisco, San Francisco, 94143, CA, USA
| | - Adrian Pelin
- J. David Gladstone Institutes, San Francisco, 94158, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, 94158, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Yuping Li
- Department of Immunology and Microbiology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Baron Guo
- Department of Immunology and Microbiology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Nevan J Krogan
- J. David Gladstone Institutes, San Francisco, 94158, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, 94158, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - David A Agard
- Department of Biochemistry, University of California San Francisco, San Francisco, 94143, CA, USA
| | - Joseph Bondy-Denomy
- Department of Immunology and Microbiology, University of California San Francisco, San Francisco, 94158, CA, USA.
| | - Danielle L Swaney
- J. David Gladstone Institutes, San Francisco, 94158, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, 94158, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, 94158, CA, USA.
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18
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Tharp KM, Park S, Timblin GA, Richards AL, Berg JA, Twells NM, Riley NM, Peltan EL, Shon DJ, Stevenson E, Tsui K, Palomba F, Lefebvre AEYT, Soens RW, Ayad NM, Hoeve-Scott JT, Healy K, Digman M, Dillin A, Bertozzi CR, Swaney DL, Mahal LK, Cantor JR, Paszek MJ, Weaver VM. The microenvironment dictates glycocalyx construction and immune surveillance. Res Sq 2023:rs.3.rs-3164966. [PMID: 37645943 PMCID: PMC10462183 DOI: 10.21203/rs.3.rs-3164966/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Efforts to identify anti-cancer therapeutics and understand tumor-immune interactions are built with in vitro models that do not match the microenvironmental characteristics of human tissues. Using in vitro models which mimic the physical properties of healthy or cancerous tissues and a physiologically relevant culture medium, we demonstrate that the chemical and physical properties of the microenvironment regulate the composition and topology of the glycocalyx. Remarkably, we find that cancer and age-related changes in the physical properties of the microenvironment are sufficient to adjust immune surveillance via the topology of the glycocalyx, a previously unknown phenomenon observable only with a physiologically relevant culture medium.
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Affiliation(s)
- Kevin M. Tharp
- Center for Bioengineering and Tissue Regeneration, Department of Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Sangwoo Park
- Field of Biophysics, Cornell University, Ithaca, NY 14850, USA
| | - Greg A. Timblin
- Center for Bioengineering and Tissue Regeneration, Department of Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Alicia L. Richards
- Quantitative Biosciences Institute (QBI) and Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Jordan A. Berg
- Department of Biochemistry, University of Utah, Salt Lake City, UT 84112, USA
| | - Nicholas M. Twells
- Department of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - Nicholas M. Riley
- Department of Chemistry, Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Egan L. Peltan
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford CA USA 94305
- Sarafan ChEM-H, Stanford University, Stanford, CA USA 94305
| | - D. Judy Shon
- Department of Chemistry, Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Erica Stevenson
- Quantitative Biosciences Institute (QBI) and Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Kimberly Tsui
- Department of Molecular and Cellular Biology and Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94597, USA
| | - Francesco Palomba
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California, CA 92697, USA
| | | | - Ross W. Soens
- Morgridge Institute for Research, Madison, WI 53715, USA; Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Nadia M.E. Ayad
- Center for Bioengineering and Tissue Regeneration, Department of Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Johanna ten Hoeve-Scott
- UCLA Metabolomics Center, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095, USA
| | - Kevin Healy
- Department of Chemical and Systems Biology, Sarafan ChEM-H and Howard Hughes Medical Institute, Stanford University, Stanford, CA USA 94305
| | - Michelle Digman
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California, CA 92697, USA
| | - Andrew Dillin
- Department of Molecular and Cellular Biology and Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94597, USA
| | - Carolyn R. Bertozzi
- Department of Chemical and Systems Biology, Sarafan ChEM-H and Howard Hughes Medical Institute, Stanford University, Stanford, CA USA 94305
| | - Danielle L. Swaney
- Quantitative Biosciences Institute (QBI) and Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Lara K. Mahal
- Department of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - Jason R. Cantor
- Morgridge Institute for Research, Madison, WI 53715, USA; Department of Biochemistry and Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Matthew J. Paszek
- Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850, USA
| | - Valerie M. Weaver
- Center for Bioengineering and Tissue Regeneration, Department of Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Bioengineering and Therapeutic Sciences, Department of Radiation Oncology, Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, and Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, CA 94143, USA
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19
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Steinbach AM, Bhadkamkar VL, Jimenez-Morales D, Stevenson E, Jang GM, Krogan NJ, Swaney DL, Mukherjee S. Cross-family small GTPase ubiquitination by the intracellular pathogen Legionella pneumophila. bioRxiv 2023:2023.08.03.551750. [PMID: 37577546 PMCID: PMC10418220 DOI: 10.1101/2023.08.03.551750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
The intracellular bacterial pathogen Legionella pneumophila (L.p.) manipulates eukaryotic host ubiquitination machinery to form its replicative vacuole. While nearly 10% of L.p.'s arsenal of ~330 secreted effector proteins have been biochemically characterized as ubiquitin ligases or deubiquitinases, a comprehensive measure of temporally resolved changes in the endogenous host ubiquitinome during infection has not been undertaken. To elucidate how L.p hijacks ubiquitin signaling within the host cell, we undertook a proteome-wide analysis of changes in protein ubiquitination during infection. We discover that L.p. infection results in increased ubiquitination of host proteins regulating subcellular trafficking and membrane dynamics, most notably 63 of ~160 mammalian Ras superfamily small GTPases. We determine that these small GTPases predominantly undergo non-degradative monoubiquitination, and link ubiquitination to recruitment to the Legionella-containing vacuole membrane. Finally, we find that the bacterial effectors SidC/SdcA play a central, but likely indirect, role in cross-family small GTPase ubiquitination. This work highlights the extensive reconfiguration of host ubiquitin signaling by bacterial effectors during infection and establishes simultaneous ubiquitination of small GTPases across the Ras superfamily as a novel consequence of L.p. infection. This work positions L.p. as a tool to better understand how small GTPases can be regulated by ubiquitination in uninfected contexts.
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Affiliation(s)
- Adriana M. Steinbach
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, United States of America
- George Williams Hooper Foundation, University of California, San Francisco, San Francisco, California, United States of America
| | - Varun L. Bhadkamkar
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, United States of America
- George Williams Hooper Foundation, University of California, San Francisco, San Francisco, California, United States of America
| | - David Jimenez-Morales
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, United States of America
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, United States of America
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, California, United States of America
| | - Erica Stevenson
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, United States of America
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, United States of America
- Quantitative Biosciences Institute, University of California, San Francisco, California, United States of America
| | - Gwendolyn M. Jang
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, United States of America
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, United States of America
- Quantitative Biosciences Institute, University of California, San Francisco, California, United States of America
| | - Nevan J. Krogan
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, United States of America
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, United States of America
- Quantitative Biosciences Institute, University of California, San Francisco, California, United States of America
| | - Danielle L. Swaney
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, United States of America
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, United States of America
- Quantitative Biosciences Institute, University of California, San Francisco, California, United States of America
| | - Shaeri Mukherjee
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, United States of America
- George Williams Hooper Foundation, University of California, San Francisco, San Francisco, California, United States of America
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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20
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Samelson AJ, Ariqat N, McKetney J, Rohanitazangi G, Bravo CP, Goodness D, Tian R, Grosjean P, Abskharon R, Eisenberg D, Kanaan NM, Gan L, Condello C, Swaney DL, Kampmann M. CRISPR screens in iPSC-derived neurons reveal principles of tau proteostasis. bioRxiv 2023:2023.06.16.545386. [PMID: 37398204 PMCID: PMC10312804 DOI: 10.1101/2023.06.16.545386] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
A hallmark of age-associated neurodegenerative diseases is the aggregation of proteins. Aggregation of the protein tau defines tauopathies, which include Alzheimer's disease and frontotemporal dementia. Specific neuronal subtypes are selectively vulnerable to the accumulation of tau aggregates, and subsequent dysfunction and death. The mechanisms underlying cell type-selective vulnerability are unknown. To systematically uncover the cellular factors controlling the accumulation of tau aggregates in human neurons, we conducted a genome-wide CRISPRi-based modifier screen in iPSC-derived neurons. The screen uncovered expected pathways, including autophagy, but also unexpected pathways including UFMylation and GPI anchor synthesis, that control tau oligomer levels. We identify the E3 ubiquitin ligase CUL5 as a tau interactor and potent modifier of tau levels. In addition, disruption of mitochondrial function increases tau oligomer levels and promotes proteasomal misprocessing of tau. These results reveal new principles of tau proteostasis in human neurons and pinpoint potential therapeutic targets for tauopathies.
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Affiliation(s)
- Avi J Samelson
- Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
| | - Nabeela Ariqat
- Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
| | - Justin McKetney
- University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, USA
- University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA
| | - Gita Rohanitazangi
- Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
| | - Celeste Parra Bravo
- Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
- Helen and Robert Appel Alzheimer Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Darrin Goodness
- Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
| | - Ruilin Tian
- Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
| | - Parker Grosjean
- Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
| | - Romany Abskharon
- Departments of Chemistry and Biochemistry and Biological Chemistry, UCLA-DOE Institute, UCLA, Los Angeles, CA USA
| | - David Eisenberg
- Departments of Chemistry and Biochemistry and Biological Chemistry, UCLA-DOE Institute, UCLA, Los Angeles, CA USA
- Howard Hughes Medical Institute UCLA, Los Angeles, CA, USA
| | - Nicholas M Kanaan
- Department of Translational Neuroscience, Michigan State University, East Lansing, MI, USA
| | - Li Gan
- Helen and Robert Appel Alzheimer Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Carlo Condello
- Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco, San Francisco, ca
| | - Danielle L Swaney
- University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, USA
- University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA
| | - Martin Kampmann
- Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
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21
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Wilburn DB, Shannon AE, Spicer V, Richards AL, Yeung D, Swaney DL, Krokhin OV, Searle BC. Deep learning from harmonized peptide libraries enables retention time prediction of diverse post translational modifications. bioRxiv 2023:2023.05.30.542978. [PMID: 37398395 PMCID: PMC10312522 DOI: 10.1101/2023.05.30.542978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
In proteomics experiments, peptide retention time (RT) is an orthogonal property to fragmentation when assessing detection confidence. Advances in deep learning enable accurate RT prediction for any peptide from sequence alone, including those yet to be experimentally observed. Here we present Chronologer, an open-source software tool for rapid and accurate peptide RT prediction. Using new approaches to harmonize and false-discovery correct across independently collected datasets, Chronologer is built on a massive database with >2.2 million peptides including 10 common post-translational modification (PTM) types. By linking knowledge learned across diverse peptide chemistries, Chronologer predicts RTs with less than two-thirds the error of other deep learning tools. We show how RT for rare PTMs, such as OGlcNAc, can be learned with high accuracy using as few as 10-100 example peptides in newly harmonized datasets. This iteratively updatable workflow enables Chronologer to comprehensively predict RTs for PTM-marked peptides across entire proteomes.
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22
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Cakir Z, Lord SJ, Zhou Y, Jang GM, Polacco BJ, Eckhardt M, Jimenez-Morales D, Newton BW, Orr AL, Johnson JR, da Cruz A, Mullins RD, Krogan NJ, Mahley RW, Swaney DL. Quantitative proteomic analysis reveals apoE4-dependent phosphorylation of the actin-regulating protein VASP. Mol Cell Proteomics 2023; 22:100541. [PMID: 37019383 DOI: 10.1016/j.mcpro.2023.100541] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 02/03/2023] [Accepted: 03/24/2023] [Indexed: 04/05/2023] Open
Abstract
Apolipoprotein (apo) E4 is the major genetic risk factor for Alzheimer's Disease (AD). While neurons generally produce a minority of the apoE in the central nervous system, neuronal expression of apoE increases dramatically in response to stress and is sufficient to drive pathology. Currently, the molecular mechanisms of how apoE4 expression may regulate pathology are not fully understood. Here we expand upon our previous studies measuring the impact of apoE4 on protein abundance to include the analysis of protein phosphorylation and ubiquitylation signaling in isogenic Neuro-2a cells expressing apoE3 or apoE4. ApoE4 expression resulted in a dramatic increase in VASP S235 phosphorylation in a PKA-dependent manner. This phosphorylation disrupted VASP interactions with numerous actin cytoskeletal and microtubular proteins. Reduction of VASP S235 phosphorylation via PKA inhibition resulted in a significant increase in filopodia formation and neurite outgrowth in apoE4-expressing cells, exceeding levels observed in apoE3-expressing cells. Our results highlight the pronounced and diverse impact of apoE4 on multiple modes of protein regulation and identify protein targets to restore apoE4-related cytoskeletal defects.
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23
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Fossati A, Mozumdar D, Kokontis C, Mèndez-Moran M, Nieweglowska E, Pelin A, Li Y, Guo B, Krogan NJ, Agard DA, Bondy-Denomy J, Swaney DL. Next-generation interaction proteomics for quantitative Jumbophage-bacteria interaction mapping. bioRxiv 2023:2023.01.13.523954. [PMID: 36711836 PMCID: PMC9882154 DOI: 10.1101/2023.01.13.523954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Host-pathogen interactions (HPIs) are pivotal in regulating establishment, progression, and outcome of an infection. Affinity-purification mass spectrometry has become instrumental for the characterization of HPIs, however the targeted nature of exogenously expressing individual viral proteins has limited its utility to the analysis of relatively small pathogens. Here we present the use of co-fractionation mass spectrometry (SEC-MS) for the high-throughput analysis of HPIs from native viral infections of two jumbophages ( ϕ KZ and ϕ PA3) in Pseudomonas aeruginosa . This enabled the detection > 6000 unique host-pathogen and > 200 pathogen-pathogen interactions for each phage, encompassing > 50% of the phage proteome. Interactome-wide comparison across phages showed similar perturbed protein interactions suggesting fundamentally conserved mechanisms of phage predation within the KZ-like phage family. Prediction of novel ORFs revealed a ϕ PA3 complex showing strong structural and sequence similarity to ϕ KZ nvRNAp, suggesting ϕ PA3 also possesses two RNA polymerases acting at different stages of the infection cycle. We further expanded our understanding on the molecular organization of the virion packaged and injected proteome by identifying 23 novel virion components and 5 novel injected proteins, as well as providing the first evidence for interactions between KZ-like phage proteins and the host ribosome. To enable accessibility to this data, we developed PhageMAP, an online resource for network query, visualization, and interaction prediction ( https://phagemap.ucsf.edu/ ). We anticipate this study will lay the foundation for the application of co-fractionation mass spectrometry for the scalable profiling of hostpathogen interactomes and protein complex dynamics upon infection.
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24
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Chan GKL, Maisel S, Hwang YC, Pascual BC, Wolber RRB, Vu P, Patra KC, Bouhaddou M, Kenerson HL, Lim HC, Long D, Yeung RS, Sethupathy P, Swaney DL, Krogan NJ, Turnham RE, Riehle KJ, Scott JD, Bardeesy N, Gordan JD. Oncogenic PKA signaling increases c-MYC protein expression through multiple targetable mechanisms. eLife 2023; 12:e69521. [PMID: 36692000 PMCID: PMC9925115 DOI: 10.7554/elife.69521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 01/22/2023] [Indexed: 01/25/2023] Open
Abstract
Genetic alterations that activate protein kinase A (PKA) are found in many tumor types. Yet, their downstream oncogenic signaling mechanisms are poorly understood. We used global phosphoproteomics and kinase activity profiling to map conserved signaling outputs driven by a range of genetic changes that activate PKA in human cancer. Two signaling networks were identified downstream of PKA: RAS/MAPK components and an Aurora Kinase A (AURKA)/glycogen synthase kinase (GSK3) sub-network with activity toward MYC oncoproteins. Findings were validated in two PKA-dependent cancer models: a novel, patient-derived fibrolamellar carcinoma (FLC) line that expresses a DNAJ-PKAc fusion and a PKA-addicted melanoma model with a mutant type I PKA regulatory subunit. We identify PKA signals that can influence both de novo translation and stability of the proto-oncogene c-MYC. However, the primary mechanism of PKA effects on MYC in our cell models was translation and could be blocked with the eIF4A inhibitor zotatifin. This compound dramatically reduced c-MYC expression and inhibited FLC cell line growth in vitro. Thus, targeting PKA effects on translation is a potential treatment strategy for FLC and other PKA-driven cancers.
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Affiliation(s)
- Gary KL Chan
- Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San FranciscoSan FranciscoUnited States
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoUnited States
| | - Samantha Maisel
- Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San FranciscoSan FranciscoUnited States
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoUnited States
| | - Yeonjoo C Hwang
- Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San FranciscoSan FranciscoUnited States
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoUnited States
| | - Bryan C Pascual
- Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San FranciscoSan FranciscoUnited States
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoUnited States
| | - Rebecca RB Wolber
- Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San FranciscoSan FranciscoUnited States
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoUnited States
| | - Phuong Vu
- Department of Medicine, Harvard Medical SchoolBostonUnited States
- Massachusetts General Hospital Cancer CenterBostonUnited States
| | - Krushna C Patra
- Department of Medicine, Harvard Medical SchoolBostonUnited States
- Massachusetts General Hospital Cancer CenterBostonUnited States
| | - Mehdi Bouhaddou
- Department of Cellular and Molecular Pharmacology, University of California San FranciscoSan FranciscoUnited States
- J. David Gladstone InstituteSan FranciscoUnited States
| | - Heidi L Kenerson
- Department of Surgery and Northwest Liver Research Program, University of WashingtonSeattleUnited States
| | - Huat C Lim
- Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San FranciscoSan FranciscoUnited States
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoUnited States
| | - Donald Long
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell UniversityNew YorkUnited States
| | - Raymond S Yeung
- Department of Surgery and Northwest Liver Research Program, University of WashingtonSeattleUnited States
| | - Praveen Sethupathy
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell UniversityNew YorkUnited States
| | - Danielle L Swaney
- Department of Cellular and Molecular Pharmacology, University of California San FranciscoSan FranciscoUnited States
- J. David Gladstone InstituteSan FranciscoUnited States
| | - Nevan J Krogan
- Department of Cellular and Molecular Pharmacology, University of California San FranciscoSan FranciscoUnited States
| | - Rigney E Turnham
- Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San FranciscoSan FranciscoUnited States
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoUnited States
| | - Kimberly J Riehle
- Department of Surgery and Northwest Liver Research Program, University of WashingtonSeattleUnited States
| | - John D Scott
- Department of Pharmacology, University of Washington Medical CenterSeattleUnited States
| | - Nabeel Bardeesy
- Department of Medicine, Harvard Medical SchoolBostonUnited States
- Massachusetts General Hospital Cancer CenterBostonUnited States
| | - John D Gordan
- Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San FranciscoSan FranciscoUnited States
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoUnited States
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25
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Nayak K, Hwang Y, Wang L, Swaney DL, Krogan NJ, Gordan JD. Abstract B016: Inhibition of KRASG12C in colon cancer illustrates a link between beta-catenin, WNK, and the GID complex. Cancer Res 2022. [DOI: 10.1158/1538-7445.crc22-b016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Abstract
KRAS is mutated in 35%-45% of colorectal cancers (CRC), and KRAS mutational status determines the prognosis and therapeutic options available to patients with advanced CRC. Direct KRASG12C inhibitors have proven to be highly effective for patients with non-small cell lung cancers, but unfortunately are relatively ineffective in the treatment of CRC. Thus, we have investigated tissue-specific mechanisms of resistance to direct KRAS inhibition. We used multiplex inhibitor bead kinome profiling (MIBs) and global phosphoproteomic analysis to determine the signaling response to the KRASG12C inhibitor ARS-1620 in four human colon cancer cell lines. Analyzing the kinome revealed a profound reprogramming beyond the Ras/MAPK pathway. We used network propagation to integrate analysis across these lines and define essential signaling nodes modified by direct KRAS inhibition, including two distinct signaling nodes containing RAS/MAPK and WNT-regulating kinases. Two additional smaller nodes contained WNK kinases and their effectors, followed by Hippo and a number of cell cycle-related kinases. The WNK kinases have been identified to modulate beta-catenin, a major driver of CRC biology, via the GID E3 ubiquitin ligase complex. Thus, to understand the signaling that links KRAS and beta-catenin, we used small molecule inhibitors of these kinases along with ARS-1620, we tested how they affected the transcription of beta-catenin targets. Additionally, we assessed the correlation between WNK/GID complex, and beta-catenin transcriptional output using western blot and quantitative real time PCR and observe that inhibition of KRASG12C also modulates beta-catenin transcriptional output. Our results identify new families of possible kinase targets in CRCs expressing KRAS mutations and shed light on the relationship of KRAS, beta-catenin, and WNK/GID in CRC maintenance. By dissecting these signaling relationships, we hope to identify potential drug combinations to overcome primary resistance KRASG12C inhibition in CRC.
Citation Format: Kasturi Nayak, Yeonjoo Hwang, LeeAnn Wang, Danielle L. Swaney, Nevan J. Krogan, John D. Gordan. Inhibition of KRASG12C in colon cancer illustrates a link between beta-catenin, WNK, and the GID complex [abstract]. In: Proceedings of the AACR Special Conference on Colorectal Cancer; 2022 Oct 1-4; Portland, OR. Philadelphia (PA): AACR; Cancer Res 2022;82(23 Suppl_1):Abstract nr B016.
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Affiliation(s)
- Kasturi Nayak
- 1University of California, San Francisco, San Francisco, CA
| | - Yeonjoo Hwang
- 1University of California, San Francisco, San Francisco, CA
| | - LeeAnn Wang
- 1University of California, San Francisco, San Francisco, CA
| | | | | | - John D. Gordan
- 1University of California, San Francisco, San Francisco, CA
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26
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Cakir Z, Polacco B, Krogan NJ, Mahley RW, Swaney DL. Quantitative proteomic analysis reveals apoE4‐dependent phosphorylation of the actin regulating protein VASP. Alzheimers Dement 2022. [DOI: 10.1002/alz.061116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | | | - Nevan J Krogan
- Gladstone Institutes San Francisco CA USA
- University of California, San Francisco San Francisco CA USA
- Quantitative Biosciences Institute San Francisco CA USA
| | - Robert W Mahley
- Gladstone Institutes San Francisco CA USA
- University of California, San Francisco San Francisco CA USA
| | - Danielle L Swaney
- Gladstone Institutes San Francisco CA USA
- University of California, San Francisco San Francisco CA USA
- Quantitative Biosciences Institute San Francisco CA USA
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27
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Kehrer T, Cupic A, Ye C, Yildiz S, Bouhhadou M, Crossland NA, Barrall E, Cohen P, Tseng A, Çağatay T, Rathnasinghe R, Flores D, Jangra S, Alam F, Mena N, Aslam S, Saqi A, Marin A, Rutkowska M, Ummadi MR, Pisanelli G, Richardson RB, Veit EC, Fabius JM, Soucheray M, Polacco BJ, Evans MJ, Swaney DL, Gonzalez-Reiche AS, Sordillo EM, van Bakel H, Simon V, Zuliani-Alvarez L, Fontoura BMA, Rosenberg BR, Krogan NJ, Martinez-Sobrido L, García-Sastre A, Miorin L. Impact of SARS-CoV-2 ORF6 and its variant polymorphisms on host responses and viral pathogenesis. bioRxiv 2022:2022.10.18.512708. [PMID: 36299428 DOI: 10.1101/2022.12.07.519389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
UNLABELLED We and others have previously shown that the SARS-CoV-2 accessory protein ORF6 is a powerful antagonist of the interferon (IFN) signaling pathway by directly interacting with Nup98-Rae1 at the nuclear pore complex (NPC) and disrupting bidirectional nucleo-cytoplasmic trafficking. In this study, we further assessed the role of ORF6 during infection using recombinant SARS-CoV-2 viruses carrying either a deletion or a well characterized M58R loss-of-function mutation in ORF6. We show that ORF6 plays a key role in the antagonism of IFN signaling and in viral pathogenesis by interfering with karyopherin(importin)-mediated nuclear import during SARS-CoV-2 infection both in vitro , and in the Syrian golden hamster model in vivo . In addition, we found that ORF6-Nup98 interaction also contributes to inhibition of cellular mRNA export during SARS-CoV-2 infection. As a result, ORF6 expression significantly remodels the host cell proteome upon infection. Importantly, we also unravel a previously unrecognized function of ORF6 in the modulation of viral protein expression, which is independent of its function at the nuclear pore. Lastly, we characterized the ORF6 D61L mutation that recently emerged in Omicron BA.2 and BA.4 and demonstrated that it is able to disrupt ORF6 protein functions at the NPC and to impair SARS-CoV-2 innate immune evasion strategies. Importantly, the now more abundant Omicron BA.5 lacks this loss-of-function polymorphism in ORF6. Altogether, our findings not only further highlight the key role of ORF6 in the antagonism of the antiviral innate immune response, but also emphasize the importance of studying the role of non-spike mutations to better understand the mechanisms governing differential pathogenicity and immune evasion strategies of SARS-CoV-2 and its evolving variants. ONE SENTENCE SUMMARY SARS-CoV-2 ORF6 subverts bidirectional nucleo-cytoplasmic trafficking to inhibit host gene expression and contribute to viral pathogenesis.
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28
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Kehrer T, Cupic A, Ye C, Yildiz S, Bouhhadou M, Crossland NA, Barrall E, Cohen P, Tseng A, Çağatay T, Rathnasinghe R, Flores D, Jangra S, Alam F, Mena N, Aslam S, Saqi A, Marin A, Rutkowska M, Ummadi MR, Pisanelli G, Richardson RB, Veit EC, Fabius JM, Soucheray M, Polacco BJ, Evans MJ, Swaney DL, Gonzalez-Reiche AS, Sordillo EM, van Bakel H, Simon V, Zuliani-Alvarez L, Fontoura BMA, Rosenberg BR, Krogan NJ, Martinez-Sobrido L, García-Sastre A, Miorin L. Impact of SARS-CoV-2 ORF6 and its variant polymorphisms on host responses and viral pathogenesis. bioRxiv 2022:2022.10.18.512708. [PMID: 36299428 PMCID: PMC9603824 DOI: 10.1101/2022.10.18.512708] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
We and others have previously shown that the SARS-CoV-2 accessory protein ORF6 is a powerful antagonist of the interferon (IFN) signaling pathway by directly interacting with Nup98-Rae1 at the nuclear pore complex (NPC) and disrupting bidirectional nucleo-cytoplasmic trafficking. In this study, we further assessed the role of ORF6 during infection using recombinant SARS-CoV-2 viruses carrying either a deletion or a well characterized M58R loss-of-function mutation in ORF6. We show that ORF6 plays a key role in the antagonism of IFN signaling and in viral pathogenesis by interfering with karyopherin(importin)-mediated nuclear import during SARS-CoV-2 infection both in vitro , and in the Syrian golden hamster model in vivo . In addition, we found that ORF6-Nup98 interaction also contributes to inhibition of cellular mRNA export during SARS-CoV-2 infection. As a result, ORF6 expression significantly remodels the host cell proteome upon infection. Importantly, we also unravel a previously unrecognized function of ORF6 in the modulation of viral protein expression, which is independent of its function at the nuclear pore. Lastly, we characterized the ORF6 D61L mutation that recently emerged in Omicron BA.2 and BA.4 and demonstrated that it is able to disrupt ORF6 protein functions at the NPC and to impair SARS-CoV-2 innate immune evasion strategies. Importantly, the now more abundant Omicron BA.5 lacks this loss-of-function polymorphism in ORF6. Altogether, our findings not only further highlight the key role of ORF6 in the antagonism of the antiviral innate immune response, but also emphasize the importance of studying the role of non-spike mutations to better understand the mechanisms governing differential pathogenicity and immune evasion strategies of SARS-CoV-2 and its evolving variants. ONE SENTENCE SUMMARY SARS-CoV-2 ORF6 subverts bidirectional nucleo-cytoplasmic trafficking to inhibit host gene expression and contribute to viral pathogenesis.
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29
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O'Leary PC, Chen H, Doruk YU, Williamson T, Polacco B, McNeal AS, Shenoy T, Kale N, Carnevale J, Stevenson E, Quigley DA, Chou J, Feng FY, Swaney DL, Krogan NJ, Kim M, Diolaiti ME, Ashworth A. Resistance to ATR Inhibitors Is Mediated by Loss of the Nonsense-Mediated Decay Factor UPF2. Cancer Res 2022; 82:3950-3961. [PMID: 36273492 PMCID: PMC9633439 DOI: 10.1158/0008-5472.can-21-4335] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 07/20/2022] [Accepted: 09/07/2022] [Indexed: 11/16/2022]
Abstract
Abstract
Over one million cases of gastric cancer are diagnosed each year globally, and the metastatic disease continues to have a poor prognosis. A significant proportion of gastric tumors have defects in the DNA damage response pathway, creating therapeutic opportunities through synthetic lethal approaches. Several small-molecule inhibitors of ATR, a key regulator of the DNA damage response, are now in clinical development as targeted agents for gastric cancer. Here, we performed a large-scale CRISPR interference screen to discover genetic determinants of response and resistance to ATR inhibitors (ATRi) in gastric cancer cells. Among the top hits identified as mediators of ATRi response were UPF2 and other components of the nonsense-mediated decay (NMD) pathway. Loss of UPF2 caused ATRi resistance across multiple gastric cancer cell lines. Global proteomic, phosphoproteomic, and transcriptional profiling experiments revealed that cell-cycle progression and DNA damage responses were altered in UPF2-mutant cells. Further studies demonstrated that UPF2-depleted cells failed to accumulate in G1 following treatment with ATRi. UPF2 loss also reduced transcription–replication collisions, which has previously been associated with ATRi response, thereby suggesting a possible mechanism of resistance. Our results uncover a novel role for NMD factors in modulating response to ATRi in gastric cancer, highlighting a previously unknown mechanism of resistance that may inform the clinical use of these drugs.
Significance:
Loss of NMD proteins promotes resistance to ATR inhibitors in gastric cancer cells, which may provide a combination of therapeutic targets and biomarkers to improve the clinical utility of these drugs.
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Affiliation(s)
- Patrick C. O'Leary
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Huadong Chen
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Yagmur U. Doruk
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Tess Williamson
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Benjamin Polacco
- 2Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California
- 3Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California
- 4Gladstone Institutes, San Francisco, California
| | - Andrew S. McNeal
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Tanushree Shenoy
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Nupura Kale
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Julia Carnevale
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- 4Gladstone Institutes, San Francisco, California
- 5Department of Medicine, University of California San Francisco, San Francisco, California
| | - Erica Stevenson
- 2Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California
- 3Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California
- 4Gladstone Institutes, San Francisco, California
| | - David A. Quigley
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- 6Department of Urology, University of California San Francisco, San Francisco, California
- 7Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Jonathan Chou
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- 5Department of Medicine, University of California San Francisco, San Francisco, California
| | - Felix Y. Feng
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- 6Department of Urology, University of California San Francisco, San Francisco, California
- 8Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Danielle L. Swaney
- 2Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California
- 3Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California
- 4Gladstone Institutes, San Francisco, California
| | - Nevan J. Krogan
- 2Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California
- 3Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California
- 4Gladstone Institutes, San Francisco, California
| | - Minkyu Kim
- 2Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California
- 3Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California
- 4Gladstone Institutes, San Francisco, California
| | - Morgan E. Diolaiti
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Alan Ashworth
- 1UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- 5Department of Medicine, University of California San Francisco, San Francisco, California
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30
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Krause GJ, Diaz A, Jafari M, Khawaja RR, Agullo‐Pascual E, Santiago‐Fernández O, Richards AL, Chen K, Dmitriev P, Sun Y, See SK, Abdelmohsen K, Mazan‐Mamczarz K, Krogan NJ, Gorospe M, Swaney DL, Sidoli S, Bravo‐Cordero JJ, Kampmann M, Cuervo AM. Reduced endosomal microautophagy activity in aging associates with enhanced exocyst-mediated protein secretion. Aging Cell 2022; 21:e13713. [PMID: 36116133 PMCID: PMC9577956 DOI: 10.1111/acel.13713] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 01/31/2023] Open
Abstract
Autophagy is essential for protein quality control and regulation of the functional proteome. Failure of autophagy pathways with age contributes to loss of proteostasis in aged organisms and accelerates the progression of age-related diseases. In this work, we show that activity of endosomal microautophagy (eMI), a selective type of autophagy occurring in late endosomes, declines with age and identify the sub-proteome affected by this loss of function. Proteomics of late endosomes from old mice revealed an aberrant glycation signature for Hsc70, the chaperone responsible for substrate targeting to eMI. Age-related Hsc70 glycation reduces its stability in late endosomes by favoring its organization into high molecular weight protein complexes and promoting its internalization/degradation inside late endosomes. Reduction of eMI with age associates with an increase in protein secretion, as late endosomes can release protein-loaded exosomes upon plasma membrane fusion. Our search for molecular mediators of the eMI/secretion switch identified the exocyst-RalA complex, known for its role in exocytosis, as a novel physiological eMI inhibitor that interacts with Hsc70 and acts directly at the late endosome membrane. This inhibitory function along with the higher exocyst-RalA complex levels detected in late endosomes from old mice could explain, at least in part, reduced eMI activity with age. Interaction of Hsc70 with components of the exocyst-RalA complex places this chaperone in the switch from eMI to secretion. Reduced intracellular degradation in favor of extracellular release of undegraded material with age may be relevant to the spreading of proteotoxicity associated with aging and progression of proteinopathies.
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Affiliation(s)
- Gregory J. Krause
- Department of Developmental and Molecular BiologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Institute for Aging Studies, Albert Einstein College of MedicineBronxNew YorkUSA
| | - Antonio Diaz
- Department of Developmental and Molecular BiologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Institute for Aging Studies, Albert Einstein College of MedicineBronxNew YorkUSA
| | - Maryam Jafari
- Department of Developmental and Molecular BiologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Institute for Aging Studies, Albert Einstein College of MedicineBronxNew YorkUSA
| | - Rabia R. Khawaja
- Department of Developmental and Molecular BiologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Institute for Aging Studies, Albert Einstein College of MedicineBronxNew YorkUSA
| | - Esperanza Agullo‐Pascual
- Microscopy and Advanced Bioimaging Core, Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Olaya Santiago‐Fernández
- Department of Developmental and Molecular BiologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Institute for Aging Studies, Albert Einstein College of MedicineBronxNew YorkUSA
| | - Alicia L. Richards
- Department of Cellular Molecular PharmacologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- The J. David Gladstone InstitutesSan FranciscoCaliforniaUSA
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoCaliforniaUSA
| | - Kuei‐Ho Chen
- Department of Cellular Molecular PharmacologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- The J. David Gladstone InstitutesSan FranciscoCaliforniaUSA
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoCaliforniaUSA
| | - Phillip Dmitriev
- Department of Developmental and Molecular BiologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Institute for Aging Studies, Albert Einstein College of MedicineBronxNew YorkUSA
| | - Yan Sun
- Department of BiochemistryAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Stephanie K. See
- Department of Biochemistry and BiophysicsInstitute for Neurodegenerative Diseases, University of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Kotb Abdelmohsen
- Laboratory of Genetics and Genomics, National Institute on Aging Intramural Research ProgramNational Institutes of HealthBaltimoreMarylandUSA
| | - Krystyna Mazan‐Mamczarz
- Laboratory of Genetics and Genomics, National Institute on Aging Intramural Research ProgramNational Institutes of HealthBaltimoreMarylandUSA
| | - Nevan J. Krogan
- Department of Cellular Molecular PharmacologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- The J. David Gladstone InstitutesSan FranciscoCaliforniaUSA
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoCaliforniaUSA
| | - Myriam Gorospe
- Laboratory of Genetics and Genomics, National Institute on Aging Intramural Research ProgramNational Institutes of HealthBaltimoreMarylandUSA
| | - Danielle L. Swaney
- Department of Cellular Molecular PharmacologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- The J. David Gladstone InstitutesSan FranciscoCaliforniaUSA
- Quantitative Biosciences Institute (QBI), University of California San FranciscoSan FranciscoCaliforniaUSA
| | - Simone Sidoli
- Department of BiochemistryAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Jose Javier Bravo‐Cordero
- Department of Medicine, Division of Hematology and Medical OncologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Martin Kampmann
- Department of Biochemistry and BiophysicsInstitute for Neurodegenerative Diseases, University of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Ana Maria Cuervo
- Department of Developmental and Molecular BiologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Institute for Aging Studies, Albert Einstein College of MedicineBronxNew YorkUSA
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31
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Stormo AE, Shavarebi F, FitzGibbon M, Earley EM, Ahrendt H, Lum LS, Verschueren E, Swaney DL, Skibinski G, Ravisankar A, van Haren J, Davis EJ, Johnson JR, Von Dollen J, Balen C, Porath J, Crosio C, Mirescu C, Iaccarino C, Dauer WT, Nichols RJ, Wittmann T, Cox TC, Finkbeiner S, Krogan NJ, Oakes SA, Hiniker A. The E3 ligase TRIM1 ubiquitinates LRRK2 and controls its localization, degradation, and toxicity. J Cell Biol 2022; 221:e202010065. [PMID: 35266954 PMCID: PMC8919618 DOI: 10.1083/jcb.202010065] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 10/26/2021] [Accepted: 01/04/2022] [Indexed: 11/22/2022] Open
Abstract
Missense mutations in leucine-rich repeat kinase 2 (LRRK2) are the most common cause of familial Parkinson's disease (PD); however, pathways regulating LRRK2 subcellular localization, function, and turnover are not fully defined. We performed quantitative mass spectrometry-based interactome studies to identify 48 novel LRRK2 interactors, including the microtubule-associated E3 ubiquitin ligase TRIM1 (tripartite motif family 1). TRIM1 recruits LRRK2 to the microtubule cytoskeleton for ubiquitination and proteasomal degradation by binding LRRK2911-919, a nine amino acid segment within a flexible interdomain region (LRRK2853-981), which we designate the "regulatory loop" (RL). Phosphorylation of LRRK2 Ser910/Ser935 within LRRK2 RL influences LRRK2's association with cytoplasmic 14-3-3 versus microtubule-bound TRIM1. Association with TRIM1 modulates LRRK2's interaction with Rab29 and prevents upregulation of LRRK2 kinase activity by Rab29 in an E3-ligase-dependent manner. Finally, TRIM1 rescues neurite outgrowth deficits caused by PD-driving mutant LRRK2 G2019S. Our data suggest that TRIM1 is a critical regulator of LRRK2, controlling its degradation, localization, binding partners, kinase activity, and cytotoxicity.
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Affiliation(s)
- Adrienne E.D. Stormo
- Departments of Pathology, University of California San Francisco, San Francisco, CA
| | - Farbod Shavarebi
- Department of Pathology, University of California San Diego, San Diego, CA
| | - Molly FitzGibbon
- Department of Pathology, University of California San Diego, San Diego, CA
| | - Elizabeth M. Earley
- Departments of Pathology, University of California San Francisco, San Francisco, CA
| | - Hannah Ahrendt
- Department of Pathology, University of California San Diego, San Diego, CA
| | - Lotus S. Lum
- Departments of Pathology, University of California San Francisco, San Francisco, CA
| | - Erik Verschueren
- Departments of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA
| | - Danielle L. Swaney
- Departments of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA
| | - Gaia Skibinski
- Taube/Koret Center for Neurodegenerative Disease Research, J. David Gladstone Institutes, San Francisco, CA
- Center for Systems and Therapeutics, J. David Gladstone Institutes, San Francisco, CA
| | - Abinaya Ravisankar
- Taube/Koret Center for Neurodegenerative Disease Research, J. David Gladstone Institutes, San Francisco, CA
- Center for Systems and Therapeutics, J. David Gladstone Institutes, San Francisco, CA
| | - Jeffrey van Haren
- Departments of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA
- Department of Cell Biology, Erasmus MC, Rotterdam, The Netherlands
| | - Emily J. Davis
- Departments of Pathology, University of California San Francisco, San Francisco, CA
| | - Jeffrey R. Johnson
- Departments of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA
| | - John Von Dollen
- Departments of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA
| | - Carson Balen
- Department of Pathology, University of California San Diego, San Diego, CA
| | - Jacob Porath
- Department of Pathology, University of California San Diego, San Diego, CA
| | - Claudia Crosio
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | | | - Ciro Iaccarino
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - William T. Dauer
- Departments of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX
- Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX
- Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Torsten Wittmann
- Departments of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA
| | - Timothy C. Cox
- Department of Oral and Craniofacial Sciences, School of Medicine, University of Missouri Kansas City, Kansas City, MO
- School of Dentistry and Department of Pediatrics, School of Medicine, University of Missouri Kansas City, Kansas City, MO
| | - Steve Finkbeiner
- Departments of Neurology, University of California San Francisco, San Francisco, CA
- Departments of Physiology, University of California San Francisco, San Francisco, CA
- Taube/Koret Center for Neurodegenerative Disease Research, J. David Gladstone Institutes, San Francisco, CA
- Center for Systems and Therapeutics, J. David Gladstone Institutes, San Francisco, CA
| | - Nevan J. Krogan
- Departments of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA
- Center for Systems and Therapeutics, J. David Gladstone Institutes, San Francisco, CA
| | - Scott A. Oakes
- Departments of Pathology, University of California San Francisco, San Francisco, CA
- Department of Pathology, University of Chicago, Chicago, IL
| | - Annie Hiniker
- Department of Pathology, University of California San Diego, San Diego, CA
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32
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Thorne LG, Bouhaddou M, Reuschl AK, Zuliani-Alvarez L, Polacco B, Pelin A, Batra J, Whelan MVX, Hosmillo M, Fossati A, Ragazzini R, Jungreis I, Ummadi M, Rojc A, Turner J, Bischof ML, Obernier K, Braberg H, Soucheray M, Richards A, Chen KH, Harjai B, Memon D, Hiatt J, Rosales R, McGovern BL, Jahun A, Fabius JM, White K, Goodfellow IG, Takeuchi Y, Bonfanti P, Shokat K, Jura N, Verba K, Noursadeghi M, Beltrao P, Kellis M, Swaney DL, García-Sastre A, Jolly C, Towers GJ, Krogan NJ. Publisher Correction: Evolution of enhanced innate immune evasion by SARS-CoV-2. Nature 2022; 604:E14. [PMID: 35332335 PMCID: PMC8944406 DOI: 10.1038/s41586-022-04653-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Affiliation(s)
- Lucy G Thorne
- Division of Infection and Immunity, University College London, London, UK
| | - Mehdi Bouhaddou
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | | | - Lorena Zuliani-Alvarez
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Ben Polacco
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Adrian Pelin
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jyoti Batra
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Matthew V X Whelan
- Division of Infection and Immunity, University College London, London, UK
| | - Myra Hosmillo
- Division of Virology, Department of Pathology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Andrea Fossati
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Roberta Ragazzini
- Epithelial Stem Cell Biology and Regenerative Medicine Laboratory, The Francis Crick Institute, London, UK
| | - Irwin Jungreis
- MIT Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Manisha Ummadi
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Ajda Rojc
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jane Turner
- Division of Infection and Immunity, University College London, London, UK
| | - Marie L Bischof
- Division of Infection and Immunity, University College London, London, UK
| | - Kirsten Obernier
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Hannes Braberg
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Margaret Soucheray
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Alicia Richards
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kuei-Ho Chen
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Bhavya Harjai
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Joseph Hiatt
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Romel Rosales
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Briana L McGovern
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aminu Jahun
- Division of Virology, Department of Pathology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Jacqueline M Fabius
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kris White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ian G Goodfellow
- Division of Virology, Department of Pathology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Yasu Takeuchi
- Division of Infection and Immunity, University College London, London, UK
| | - Paola Bonfanti
- Epithelial Stem Cell Biology and Regenerative Medicine Laboratory, The Francis Crick Institute, London, UK
| | - Kevan Shokat
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Natalia Jura
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Division of Advanced Therapies, National Institute for Biological Standards and Control, South Mimms, UK.,Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Klim Verba
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, UK
| | - Pedro Beltrao
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Danielle L Swaney
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Clare Jolly
- Division of Infection and Immunity, University College London, London, UK.
| | - Greg J Towers
- Division of Infection and Immunity, University College London, London, UK.
| | - Nevan J Krogan
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,J. David Gladstone Institutes, San Francisco, CA, USA. .,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
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33
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Richards AL, Chen KH, Wilburn DB, Stevenson E, Polacco BJ, Searle BC, Swaney DL. Data-Independent Acquisition Protease-Multiplexing Enables Increased Proteome Sequence Coverage Across Multiple Fragmentation Modes. J Proteome Res 2022; 21:1124-1136. [PMID: 35234472 PMCID: PMC9035370 DOI: 10.1021/acs.jproteome.1c00960] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The use of multiple proteases has been shown to increase protein sequence coverage in proteomics experiments; however, due to the additional analysis time required, it has not been widely adopted in routine data-dependent acquisition (DDA) proteomic workflows. Alternatively, data-independent acquisition (DIA) has the potential to analyze multiplexed samples from different protease digests, but has been primarily optimized for fragmenting tryptic peptides. Here we evaluate a DIA multiplexing approach that combines three proteolytic digests (Trypsin, AspN, and GluC) into a single sample. We first optimize data acquisition conditions for each protease individually with both the canonical DIA fragmentation mode (beam type CID), as well as resonance excitation CID, to determine optimal consensus conditions across proteases. Next, we demonstrate that application of these conditions to a protease-multiplexed sample of human peptides results in similar protein identifications and quantitative performance as compared to trypsin alone, but enables up to a 63% increase in peptide detections, and a 45% increase in nonredundant amino acid detections. Nontryptic peptides enabled noncanonical protein isoform determination and resulted in 100% sequence coverage for numerous proteins, suggesting the utility of this approach in applications where sequence coverage is critical, such as protein isoform analysis.
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Affiliation(s)
- Alicia L Richards
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California 94158, United States.,J. David Gladstone Institutes, San Francisco, California 94158, United States.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94158, United States
| | - Kuei-Ho Chen
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California 94158, United States.,J. David Gladstone Institutes, San Francisco, California 94158, United States.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94158, United States
| | - Damien B Wilburn
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio 43210, United States.,Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, United States.,Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States
| | - Erica Stevenson
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California 94158, United States.,J. David Gladstone Institutes, San Francisco, California 94158, United States.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94158, United States
| | - Benjamin J Polacco
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California 94158, United States.,J. David Gladstone Institutes, San Francisco, California 94158, United States.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94158, United States
| | - Brian C Searle
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio 43210, United States.,Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, United States
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California 94158, United States.,J. David Gladstone Institutes, San Francisco, California 94158, United States.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94158, United States
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34
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Tracy TE, Madero-Pérez J, Swaney DL, Chang TS, Moritz M, Konrad C, Ward ME, Stevenson E, Hüttenhain R, Kauwe G, Mercedes M, Sweetland-Martin L, Chen X, Mok SA, Wong MY, Telpoukhovskaia M, Min SW, Wang C, Sohn PD, Martin J, Zhou Y, Luo W, Trojanowski JQ, Lee VMY, Gong S, Manfredi G, Coppola G, Krogan NJ, Geschwind DH, Gan L. Tau interactome maps synaptic and mitochondrial processes associated with neurodegeneration. Cell 2022; 185:712-728.e14. [PMID: 35063084 PMCID: PMC8857049 DOI: 10.1016/j.cell.2021.12.041] [Citation(s) in RCA: 83] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 10/20/2021] [Accepted: 12/22/2021] [Indexed: 12/21/2022]
Abstract
Tau (MAPT) drives neuronal dysfunction in Alzheimer disease (AD) and other tauopathies. To dissect the underlying mechanisms, we combined an engineered ascorbic acid peroxidase (APEX) approach with quantitative affinity purification mass spectrometry (AP-MS) followed by proximity ligation assay (PLA) to characterize Tau interactomes modified by neuronal activity and mutations that cause frontotemporal dementia (FTD) in human induced pluripotent stem cell (iPSC)-derived neurons. We established interactions of Tau with presynaptic vesicle proteins during activity-dependent Tau secretion and mapped the Tau-binding sites to the cytosolic domains of integral synaptic vesicle proteins. We showed that FTD mutations impair bioenergetics and markedly diminished Tau’s interaction with mitochondria proteins, which were downregulated in AD brains of multiple cohorts and correlated with disease severity. These multimodal and dynamic Tau interactomes with exquisite spatial resolution shed light on Tau’s role in neuronal function and disease and highlight potential therapeutic targets to block Tau-mediated pathogenesis. By combining APEX and AP-MS proteomic approaches, Tau interactome mapping reveals that Tau interactors are modified by neuronal activity and FTD mutations in human iPSC-derived neurons.
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Affiliation(s)
- Tara E Tracy
- Gladstone Institutes, San Francisco, CA 94158, USA; Buck Institute for Research on Aging, Novato, CA 94945, USA.
| | - Jesus Madero-Pérez
- Helen and Robert Appel Alzheimer Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA.
| | - Danielle L Swaney
- Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA.
| | - Timothy S Chang
- Department of Neurology, Movement Disorders Program and Program in Neurogenetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Michelle Moritz
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
| | - Csaba Konrad
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10065, USA
| | | | - Erica Stevenson
- Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Ruth Hüttenhain
- Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Grant Kauwe
- Buck Institute for Research on Aging, Novato, CA 94945, USA
| | - Maria Mercedes
- Helen and Robert Appel Alzheimer Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Lauren Sweetland-Martin
- Helen and Robert Appel Alzheimer Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Xu Chen
- Gladstone Institutes, San Francisco, CA 94158, USA
| | - Sue-Ann Mok
- Department of Biochemistry, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Man Ying Wong
- Helen and Robert Appel Alzheimer Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | | | - Sang-Won Min
- Gladstone Institutes, San Francisco, CA 94158, USA
| | - Chao Wang
- Gladstone Institutes, San Francisco, CA 94158, USA
| | | | | | - Yungui Zhou
- Gladstone Institutes, San Francisco, CA 94158, USA
| | - Wenjie Luo
- Helen and Robert Appel Alzheimer Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Virginia M Y Lee
- Center for Neurodegenerative Disease Research, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Shiaoching Gong
- Helen and Robert Appel Alzheimer Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Giovanni Manfredi
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10065, USA
| | - Giovanni Coppola
- Department of Neurology, Movement Disorders Program and Program in Neurogenetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Nevan J Krogan
- Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Daniel H Geschwind
- Department of Neurology, Movement Disorders Program and Program in Neurogenetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Institute of Precision Health, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Li Gan
- Helen and Robert Appel Alzheimer Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA.
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35
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Thorne LG, Bouhaddou M, Reuschl AK, Zuliani-Alvarez L, Polacco B, Pelin A, Batra J, Whelan MVX, Hosmillo M, Fossati A, Ragazzini R, Jungreis I, Ummadi M, Rojc A, Turner J, Bischof ML, Obernier K, Braberg H, Soucheray M, Richards A, Chen KH, Harjai B, Memon D, Hiatt J, Rosales R, McGovern BL, Jahun A, Fabius JM, White K, Goodfellow IG, Takeuchi Y, Bonfanti P, Shokat K, Jura N, Verba K, Noursadeghi M, Beltrao P, Kellis M, Swaney DL, García-Sastre A, Jolly C, Towers GJ, Krogan NJ. Evolution of enhanced innate immune evasion by SARS-CoV-2. Nature 2022; 602:487-495. [PMID: 34942634 PMCID: PMC8850198 DOI: 10.1038/s41586-021-04352-y] [Citation(s) in RCA: 175] [Impact Index Per Article: 87.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 12/14/2021] [Indexed: 11/09/2022]
Abstract
The emergence of SARS-CoV-2 variants of concern suggests viral adaptation to enhance human-to-human transmission1,2. Although much effort has focused on the characterization of changes in the spike protein in variants of concern, mutations outside of spike are likely to contribute to adaptation. Here, using unbiased abundance proteomics, phosphoproteomics, RNA sequencing and viral replication assays, we show that isolates of the Alpha (B.1.1.7) variant3 suppress innate immune responses in airway epithelial cells more effectively than first-wave isolates. We found that the Alpha variant has markedly increased subgenomic RNA and protein levels of the nucleocapsid protein (N), Orf9b and Orf6-all known innate immune antagonists. Expression of Orf9b alone suppressed the innate immune response through interaction with TOM70, a mitochondrial protein that is required for activation of the RNA-sensing adaptor MAVS. Moreover, the activity of Orf9b and its association with TOM70 was regulated by phosphorylation. We propose that more effective innate immune suppression, through enhanced expression of specific viral antagonist proteins, increases the likelihood of successful transmission of the Alpha variant, and may increase in vivo replication and duration of infection4. The importance of mutations outside the spike coding region in the adaptation of SARS-CoV-2 to humans is underscored by the observation that similar mutations exist in the N and Orf9b regulatory regions of the Delta and Omicron variants.
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Affiliation(s)
- Lucy G Thorne
- Division of Infection and Immunity, University College London, London, UK
| | - Mehdi Bouhaddou
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | | | - Lorena Zuliani-Alvarez
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Ben Polacco
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Adrian Pelin
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jyoti Batra
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Matthew V X Whelan
- Division of Infection and Immunity, University College London, London, UK
| | - Myra Hosmillo
- Division of Virology, Department of Pathology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Andrea Fossati
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Roberta Ragazzini
- Epithelial Stem Cell Biology and Regenerative Medicine Laboratory, The Francis Crick Institute, London, UK
| | - Irwin Jungreis
- MIT Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Manisha Ummadi
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Ajda Rojc
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jane Turner
- Division of Infection and Immunity, University College London, London, UK
| | - Marie L Bischof
- Division of Infection and Immunity, University College London, London, UK
| | - Kirsten Obernier
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Hannes Braberg
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Margaret Soucheray
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Alicia Richards
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kuei-Ho Chen
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Bhavya Harjai
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Joseph Hiatt
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Romel Rosales
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Briana L McGovern
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aminu Jahun
- Division of Virology, Department of Pathology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Jacqueline M Fabius
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kris White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ian G Goodfellow
- Division of Virology, Department of Pathology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Yasu Takeuchi
- Division of Infection and Immunity, University College London, London, UK
| | - Paola Bonfanti
- Epithelial Stem Cell Biology and Regenerative Medicine Laboratory, The Francis Crick Institute, London, UK
| | - Kevan Shokat
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Natalia Jura
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Division of Advanced Therapies, National Institute for Biological Standards and Control, South Mimms, UK
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Klim Verba
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, UK
| | - Pedro Beltrao
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Danielle L Swaney
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Clare Jolly
- Division of Infection and Immunity, University College London, London, UK.
| | - Greg J Towers
- Division of Infection and Immunity, University College London, London, UK.
| | - Nevan J Krogan
- QBI Coronavirus Research Group (QCRG), University of California San Francisco, San Francisco, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
- J. David Gladstone Institutes, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
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36
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Jin N, Keam B, Cho J, Lee MJ, Kim HR, Torosyan H, Jura N, Ng PK, Mills GB, Li H, Zeng Y, Barbash Z, Tarcic G, Kang H, Bauman JE, Kim MO, VanLandingham NK, Swaney DL, Krogan NJ, Johnson DE, Grandis JR. Therapeutic implications of activating noncanonical PIK3CA mutations in head and neck squamous cell carcinoma. J Clin Invest 2021; 131:e150335. [PMID: 34779417 PMCID: PMC8592538 DOI: 10.1172/jci150335] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 09/21/2021] [Indexed: 12/16/2022] Open
Abstract
Alpelisib selectively inhibits the p110α catalytic subunit of PI3Kα and is approved for treatment of breast cancers harboring canonical PIK3CA mutations. In head and neck squamous cell carcinoma (HNSCC), 63% of PIK3CA mutations occur at canonical hotspots. The oncogenic role of the remaining 37% of PIK3CA noncanonical mutations is incompletely understood. We report a patient with HNSCC with a noncanonical PIK3CA mutation (Q75E) who exhibited a durable (12 months) response to alpelisib in a phase II clinical trial. Characterization of all 32 noncanonical PIK3CA mutations found in HNSCC using several functional and phenotypic assays revealed that the majority (69%) were activating, including Q75E. The oncogenic impact of these mutations was validated in 4 cellular models, demonstrating that their activity was lineage independent. Further, alpelisib exhibited antitumor effects in a xenograft derived from a patient with HNSCC containing an activating noncanonical PIK3CA mutation. Structural analyses revealed plausible mechanisms for the functional phenotypes of the majority of the noncanonical PIK3CA mutations. Collectively, these findings highlight the importance of characterizing the function of noncanonical PIK3CA mutations and suggest that patients with HNSCC whose tumors harbor activating noncanonical PIK3CA mutations may benefit from treatment with PI3Kα inhibitors.
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Affiliation(s)
- Nan Jin
- Department of Otolaryngology, Head and Neck Surgery, University of California San Francisco, San Francisco, California, USA
| | - Bhumsuk Keam
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Janice Cho
- Department of Otolaryngology, Head and Neck Surgery, University of California San Francisco, San Francisco, California, USA
| | - Michelle J. Lee
- Department of Otolaryngology, Head and Neck Surgery, University of California San Francisco, San Francisco, California, USA
| | - Hye Ryun Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Yonsei Cancer Center, Seoul, South Korea
| | | | - Natalia Jura
- Cardiovascular Research Institute and
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California, USA
| | - Patrick K.S. Ng
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
| | - Gordon B. Mills
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Hua Li
- Department of Otolaryngology, Head and Neck Surgery, University of California San Francisco, San Francisco, California, USA
| | - Yan Zeng
- Department of Otolaryngology, Head and Neck Surgery, University of California San Francisco, San Francisco, California, USA
| | | | | | - Hyunseok Kang
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Julie E. Bauman
- Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Mi-Ok Kim
- Department of Epidemiology and Biostatistics and
| | - Nathan K. VanLandingham
- Department of Otolaryngology, Head and Neck Surgery, University of California San Francisco, San Francisco, California, USA
| | - Danielle L. Swaney
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California, USA
- J. David Gladstone Institutes, San Francisco, California, USA
| | - Nevan J. Krogan
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California, USA
- J. David Gladstone Institutes, San Francisco, California, USA
| | - Daniel E. Johnson
- Department of Otolaryngology, Head and Neck Surgery, University of California San Francisco, San Francisco, California, USA
| | - Jennifer R. Grandis
- Department of Otolaryngology, Head and Neck Surgery, University of California San Francisco, San Francisco, California, USA
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37
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Perica T, Mathy CJP, Xu J, Jang GM, Zhang Y, Kaake R, Ollikainen N, Braberg H, Swaney DL, Lambright DG, Kelly MJS, Krogan NJ, Kortemme T. Systems-level effects of allosteric perturbations to a model molecular switch. Nature 2021; 599:152-157. [PMID: 34646016 PMCID: PMC8571063 DOI: 10.1038/s41586-021-03982-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Accepted: 09/01/2021] [Indexed: 11/10/2022]
Abstract
Molecular switch proteins whose cycling between states is controlled by opposing regulators1,2 are central to biological signal transduction. As switch proteins function within highly connected interaction networks3, the fundamental question arises of how functional specificity is achieved when different processes share common regulators. Here we show that functional specificity of the small GTPase switch protein Gsp1 in Saccharomyces cerevisiae (the homologue of the human protein RAN)4 is linked to differential sensitivity of biological processes to different kinetics of the Gsp1 (RAN) switch cycle. We make 55 targeted point mutations to individual protein interaction interfaces of Gsp1 (RAN) and show through quantitative genetic5 and physical interaction mapping that Gsp1 (RAN) interface perturbations have widespread cellular consequences. Contrary to expectation, the cellular effects of the interface mutations group by their biophysical effects on kinetic parameters of the GTPase switch cycle and not by the targeted interfaces. Instead, we show that interface mutations allosterically tune the GTPase cycle kinetics. These results suggest a model in which protein partner binding, or post-translational modifications at distal sites, could act as allosteric regulators of GTPase switching. Similar mechanisms may underlie regulation by other GTPases, and other biological switches. Furthermore, our integrative platform to determine the quantitative consequences of molecular perturbations may help to explain the effects of disease mutations that target central molecular switches.
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Affiliation(s)
- Tina Perica
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA,European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK,These authors contributed equally
| | - Christopher J. P. Mathy
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA,These authors contributed equally
| | - Jiewei Xu
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA,The J. David Gladstone Institutes, San Francisco, CA, USA
| | - Gwendolyn M. Jang
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA,The J. David Gladstone Institutes, San Francisco, CA, USA
| | - Yang Zhang
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
| | - Robyn Kaake
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA,The J. David Gladstone Institutes, San Francisco, CA, USA
| | - Noah Ollikainen
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA,Graduate Program in Bioinformatics, University of California San Francisco, San Francisco, California, United States of America
| | - Hannes Braberg
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA,The J. David Gladstone Institutes, San Francisco, CA, USA
| | - Danielle L. Swaney
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA,The J. David Gladstone Institutes, San Francisco, CA, USA
| | - David G. Lambright
- Program in Molecular Medicine and Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Mark J. S. Kelly
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Nevan J. Krogan
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA,The J. David Gladstone Institutes, San Francisco, CA, USA,Correspondence and Requests for Materials should be addressed to: Tanja Kortemme () and Nevan Krogan ()
| | - Tanja Kortemme
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA. .,Graduate Program in Bioinformatics, University of California San Francisco, San Francisco, California, USA. .,Chan Zuckerberg Biohub, San Francisco, CA, USA.
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38
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Bouhaddou M, Lee RH, Li H, Bhola NE, O'Keefe RA, Naser M, Zhu TR, Nwachuku K, Duvvuri U, Olshen AB, Roy R, Hechmer A, Bolen J, Keysar SB, Jimeno A, Mills GB, Vandenberg S, Swaney DL, Johnson DE, Krogan NJ, Grandis JR. Caveolin-1 and Sox-2 are predictive biomarkers of cetuximab response in head and neck cancer. JCI Insight 2021; 6:151982. [PMID: 34546978 PMCID: PMC8564908 DOI: 10.1172/jci.insight.151982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 09/15/2021] [Indexed: 11/17/2022] Open
Abstract
The epidermal growth factor receptor (EGFR) inhibitor cetuximab is the only FDA-approved oncogene-targeting therapy for head and neck squamous cell carcinoma (HNSCC). Despite variable treatment response, no biomarkers exist to stratify patients for cetuximab therapy in HNSCC. Here, we applied unbiased hierarchical clustering to reverse-phase protein array molecular profiles from patient-derived xenograft (PDX) tumors and revealed 2 PDX clusters defined by protein networks associated with EGFR inhibitor resistance. In vivo validation revealed unbiased clustering to classify PDX tumors according to cetuximab response with 88% accuracy. Next, a support vector machine classifier algorithm identified a minimalist biomarker signature consisting of 8 proteins — caveolin-1, Sox-2, AXL, STING, Brd4, claudin-7, connexin-43, and fibronectin — with expression that strongly predicted cetuximab response in PDXs using either protein or mRNA. A combination of caveolin-1 and Sox-2 protein levels was sufficient to maintain high predictive accuracy, which we validated in tumor samples from patients with HNSCC with known clinical response to cetuximab. These results support further investigation into the combined use of caveolin-1 and Sox-2 as predictive biomarkers for cetuximab response in the clinic.
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Affiliation(s)
- Mehdi Bouhaddou
- Department of Cellular and Molecular Pharmacology and.,Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, California, USA.,J. David Gladstone Institutes, San Francisco, California, USA
| | - Rex H Lee
- Department of Otolaryngology - Head and Neck Surgery and
| | - Hua Li
- Department of Otolaryngology - Head and Neck Surgery and
| | - Neil E Bhola
- Department of Otolaryngology - Head and Neck Surgery and
| | | | - Mohammad Naser
- Histology and Biomarkers Core, Helen Diller Family Comprehensive Cancer Center Biorepository and Tissue Biomarker Technology, University of California, San Francisco, San Francisco, California, USA
| | - Tian Ran Zhu
- Department of Otolaryngology - Head and Neck Surgery and
| | | | - Umamaheswar Duvvuri
- Department of Otolaryngology and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Adam B Olshen
- Computational Biology and Informatics Core and.,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Ritu Roy
- Computational Biology and Informatics Core and
| | | | - Jennifer Bolen
- Histology and Biomarkers Core, Helen Diller Family Comprehensive Cancer Center Biorepository and Tissue Biomarker Technology, University of California, San Francisco, San Francisco, California, USA
| | - Stephen B Keysar
- Department of Medicine, University of Colorado Hospital, Aurora, Colorado, USA
| | - Antonio Jimeno
- Department of Medicine, University of Colorado Hospital, Aurora, Colorado, USA
| | - Gordon B Mills
- Knight Cancer Institute, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Scott Vandenberg
- Histology and Biomarkers Core, Helen Diller Family Comprehensive Cancer Center Biorepository and Tissue Biomarker Technology, University of California, San Francisco, San Francisco, California, USA
| | - Danielle L Swaney
- Department of Cellular and Molecular Pharmacology and.,Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, California, USA.,J. David Gladstone Institutes, San Francisco, California, USA
| | | | - Nevan J Krogan
- Department of Cellular and Molecular Pharmacology and.,Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, California, USA.,J. David Gladstone Institutes, San Francisco, California, USA
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39
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Swaney DL, Ramms DJ, Wang Z, Park J, Goto Y, Soucheray M, Bhola N, Kim K, Zheng F, Zeng Y, McGregor M, Herrington KA, O'Keefe R, Jin N, VanLandingham NK, Foussard H, Von Dollen J, Bouhaddou M, Jimenez-Morales D, Obernier K, Kreisberg JF, Kim M, Johnson DE, Jura N, Grandis JR, Gutkind JS, Ideker T, Krogan NJ. A protein network map of head and neck cancer reveals PIK3CA mutant drug sensitivity. Science 2021; 374:eabf2911. [PMID: 34591642 DOI: 10.1126/science.abf2911] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Danielle L Swaney
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
| | - Dana J Ramms
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Department of Pharmacology, University of California San Diego, La Jolla, CA.,Moores Cancer Center, University of California San Diego, La Jolla, CA
| | - Zhiyong Wang
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Moores Cancer Center, University of California San Diego, La Jolla, CA
| | - Jisoo Park
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA
| | - Yusuke Goto
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Moores Cancer Center, University of California San Diego, La Jolla, CA
| | - Margaret Soucheray
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
| | - Neil Bhola
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Kyumin Kim
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
| | - Fan Zheng
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA
| | - Yan Zeng
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Michael McGregor
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
| | - Kari A Herrington
- Department of Biochemistry and Biophysics Center for Advanced Light Microscopy at UCSF, University of California San Francisco, San Francisco, CA, USA
| | - Rachel O'Keefe
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Nan Jin
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Nathan K VanLandingham
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Helene Foussard
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
| | - John Von Dollen
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
| | - Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
| | - David Jimenez-Morales
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
| | - Kirsten Obernier
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
| | - Jason F Kreisberg
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA
| | - Minkyu Kim
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
| | - Daniel E Johnson
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Natalia Jura
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Jennifer R Grandis
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - J Silvio Gutkind
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Department of Pharmacology, University of California San Diego, La Jolla, CA.,Moores Cancer Center, University of California San Diego, La Jolla, CA
| | - Trey Ideker
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA.,Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA.,Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science, University of California San Diego, La Jolla, CA, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA
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40
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Zheng F, Kelly MR, Ramms DJ, Heintschel ML, Tao K, Tutuncuoglu B, Lee JJ, Ono K, Foussard H, Chen M, Herrington KA, Silva E, Liu S, Chen J, Churas C, Wilson N, Kratz A, Pillich RT, Patel DN, Park J, Kuenzi B, Yu MK, Licon K, Pratt D, Kreisberg JF, Kim M, Swaney DL, Nan X, Fraley SI, Gutkind JS, Krogan NJ, Ideker T. Interpretation of cancer mutations using a multiscale map of protein systems. Science 2021; 374:eabf3067. [PMID: 34591613 PMCID: PMC9126298 DOI: 10.1126/science.abf3067] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A major goal of cancer research is to understand how mutations distributed across diverse genes affect common cellular systems, including multiprotein complexes and assemblies. Two challenges—how to comprehensively map such systems and how to identify which are under mutational selection—have hindered this understanding. Accordingly, we created a comprehensive map of cancer protein systems integrating both new and published multi-omic interaction data at multiple scales of analysis. We then developed a unified statistical model that pinpoints 395 specific systems under mutational selection across 13 cancer types. This map, called NeST (Nested Systems in Tumors), incorporates canonical processes and notable discoveries, including a PIK3CA-actomyosin complex that inhibits phosphatidylinositol 3-kinase signaling and recurrent mutations in collagen complexes that promote tumor proliferation. These systems can be used as clinical biomarkers and implicate a total of 548 genes in cancer evolution and progression. This work shows how disparate tumor mutations converge on protein assemblies at different scales.
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Affiliation(s)
- Fan Zheng
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Marcus R. Kelly
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Dana J. Ramms
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Pharmacology, University of California San Diego, La Jolla, CA 92093, USA
| | - Marissa L. Heintschel
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Kai Tao
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, 97239, USA
- Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR, 97201, USA
| | - Beril Tutuncuoglu
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, CA 94158, USA
- The J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - John J. Lee
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Keiichiro Ono
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Helene Foussard
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, CA 94158, USA
- The J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Michael Chen
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Kari A. Herrington
- Department of Biochemistry and Biophysics Center for Advanced Light Microscopy at UCSF, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Erica Silva
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Sophie Liu
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Jing Chen
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Christopher Churas
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Nicholas Wilson
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Anton Kratz
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Rudolf T. Pillich
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Devin N. Patel
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Jisoo Park
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Brent Kuenzi
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Michael K. Yu
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Katherine Licon
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Dexter Pratt
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Jason F. Kreisberg
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Minkyu Kim
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, CA 94158, USA
- The J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Danielle L. Swaney
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, CA 94158, USA
- The J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Xiaolin Nan
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, 97239, USA
- Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR, 97201, USA
- Knight Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, 97201, USA
| | - Stephanie I. Fraley
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - J. Silvio Gutkind
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Pharmacology, University of California San Diego, La Jolla, CA 92093, USA
| | - Nevan J. Krogan
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, CA 94158, USA
- The J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Trey Ideker
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
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41
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Kim M, Park J, Bouhaddou M, Kim K, Rojc A, Modak M, Soucheray M, McGregor MJ, O'Leary P, Wolf D, Stevenson E, Foo TK, Mitchell D, Herrington KA, Muñoz DP, Tutuncuoglu B, Chen KH, Zheng F, Kreisberg JF, Diolaiti ME, Gordan JD, Coppé JP, Swaney DL, Xia B, van 't Veer L, Ashworth A, Ideker T, Krogan NJ. A protein interaction landscape of breast cancer. Science 2021; 374:eabf3066. [PMID: 34591612 PMCID: PMC9040556 DOI: 10.1126/science.abf3066] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Minkyu Kim
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Jisoo Park
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, University of California, San Diego, CA, USA
| | - Mehdi Bouhaddou
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Kyumin Kim
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Ajda Rojc
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Maya Modak
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Margaret Soucheray
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Michael J McGregor
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Patrick O'Leary
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Denise Wolf
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Erica Stevenson
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Tzeh Keong Foo
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Dominique Mitchell
- Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.,Division of Hematology/Oncology, University of California, San Francisco, CA, USA
| | - Kari A Herrington
- Department of Biochemistry and Biophysics, Center for Advanced Light Microscopy, University of California, San Francisco, CA, USA
| | - Denise P Muñoz
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Beril Tutuncuoglu
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Kuei-Ho Chen
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Fan Zheng
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, University of California, San Diego, CA, USA
| | - Jason F Kreisberg
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, University of California, San Diego, CA, USA
| | - Morgan E Diolaiti
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - John D Gordan
- Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.,Division of Hematology/Oncology, University of California, San Francisco, CA, USA
| | - Jean-Philippe Coppé
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Danielle L Swaney
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
| | - Bing Xia
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Laura van 't Veer
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Alan Ashworth
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Trey Ideker
- The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA.,Department of Medicine, University of California, San Diego, CA, USA.,Department of Bioengineering, University of California, San Diego, CA, USA
| | - Nevan J Krogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA.,The J. David Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, CA, USA.,The Cancer Cell Map Initiative, San Francisco and La Jolla, CA, USA
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42
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Martin-Sancho L, Tripathi S, Rodriguez-Frandsen A, Pache L, Sanchez-Aparicio M, McGregor MJ, Haas KM, Swaney DL, Nguyen TT, Mamede JI, Churas C, Pratt D, Rosenthal SB, Riva L, Nguyen C, Beltran-Raygoza N, Soonthornvacharin S, Wang G, Jimenez-Morales D, De Jesus PD, Moulton HM, Stein DA, Chang MW, Benner C, Ideker T, Albrecht RA, Hultquist JF, Krogan NJ, García-Sastre A, Chanda SK. Restriction factor compendium for influenza A virus reveals a mechanism for evasion of autophagy. Nat Microbiol 2021; 6:1319-1333. [PMID: 34556855 PMCID: PMC9683089 DOI: 10.1038/s41564-021-00964-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 08/18/2021] [Indexed: 02/07/2023]
Abstract
The fate of influenza A virus (IAV) infection in the host cell depends on the balance between cellular defence mechanisms and viral evasion strategies. To illuminate the landscape of IAV cellular restriction, we generated and integrated global genetic loss-of-function screens with transcriptomics and proteomics data. Our multi-omics analysis revealed a subset of both IFN-dependent and independent cellular defence mechanisms that inhibit IAV replication. Amongst these, the autophagy regulator TBC1 domain family member 5 (TBC1D5), which binds Rab7 to enable fusion of autophagosomes and lysosomes, was found to control IAV replication in vitro and in vivo and to promote lysosomal targeting of IAV M2 protein. Notably, IAV M2 was observed to abrogate TBC1D5-Rab7 binding through a physical interaction with TBC1D5 via its cytoplasmic tail. Our results provide evidence for the molecular mechanism utilised by IAV M2 protein to escape lysosomal degradation and traffic to the cell membrane, where it supports IAV budding and growth.
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Affiliation(s)
- Laura Martin-Sancho
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Shashank Tripathi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Infectious Disease Research, Microbiology & Cell Biology Department, Indian Institute of Science, Bangalore, India
| | - Ariel Rodriguez-Frandsen
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Lars Pache
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Maite Sanchez-Aparicio
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael J McGregor
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Kelsey M Haas
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Thong T Nguyen
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - João I Mamede
- Department of Microbial Pathogens and Immunity, Rush University Medical Center, Chicago, IL, USA
| | - Christopher Churas
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Dexter Pratt
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Sara B Rosenthal
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Laura Riva
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Courtney Nguyen
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Nish Beltran-Raygoza
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Stephen Soonthornvacharin
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Guojun Wang
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David Jimenez-Morales
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA
| | - Paul D De Jesus
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Hong M Moulton
- Department of Biomedical Sciences, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, OR, USA
| | - David A Stein
- Department of Biomedical Sciences, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, OR, USA
| | - Max W Chang
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Chris Benner
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Trey Ideker
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Randy A Albrecht
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Judd F Hultquist
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Tisch Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sumit K Chanda
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA.
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43
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Paulo E, Zhang Y, Masand R, Huynh TL, Seo Y, Swaney DL, Soucheray M, Stevenson E, Jimenez-Morales D, Krogan NJ, Wang B. Brown adipocyte ATF4 activation improves thermoregulation and systemic metabolism. Cell Rep 2021; 36:109742. [PMID: 34551310 PMCID: PMC9202523 DOI: 10.1016/j.celrep.2021.109742] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 07/28/2021] [Accepted: 08/30/2021] [Indexed: 01/02/2023] Open
Abstract
Cold-induced thermogenesis in endotherms demands adaptive thermogenesis fueled by mitochondrial respiration and Ucp1-mediated uncoupling in multilocular brown adipocytes (BAs). However, dietary regulation of thermogenesis in BAs isn't fully understood. Here, we describe that the deficiency of Leucine-rich pentatricopeptide repeat containing-protein (Lrpprc) in BAs reduces mtDNA-encoded ETC gene expression, causes ETC proteome imbalance, and abolishes the mitochondria-fueled thermogenesis. BA-specific Lrpprc knockout mice are cold resistant in a 4°C cold-tolerance test in the presence of food, which is accompanied by the activation of transcription factor 4 (ATF4) and proteome turnover in BAs. ATF4 activation genetically by BA-specific ATF4 overexpression or physiologically by a low-protein diet feeding can improve cold tolerance in wild-type and Ucp1 knockout mice. Furthermore, ATF4 activation in BAs improves systemic metabolism in obesogenic environment regardless of Ucp1's action. Therefore, our study reveals a diet-dependent but Ucp1-independent thermogenic mechanism in BAs that is relevant to systemic thermoregulation and energy homeostasis.
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Affiliation(s)
- Esther Paulo
- Cardiovascular Research Institute, Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Yun Zhang
- Cardiovascular Research Institute, Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Ruchi Masand
- Cardiovascular Research Institute, Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Tony L Huynh
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA
| | - Youngho Seo
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA
| | - Danielle L Swaney
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Margaret Soucheray
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Erica Stevenson
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - David Jimenez-Morales
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Nevan J Krogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Biao Wang
- Cardiovascular Research Institute, Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
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44
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Kumar D, Rains A, Herranz-Pérez V, Lu Q, Shi X, Swaney DL, Stevenson E, Krogan NJ, Huang B, Westlake C, Garcia-Verdugo JM, Yoder BK, Reiter JF. A ciliopathy complex builds distal appendages to initiate ciliogenesis. J Cell Biol 2021; 220:e202011133. [PMID: 34241634 PMCID: PMC8276316 DOI: 10.1083/jcb.202011133] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 05/12/2021] [Accepted: 06/14/2021] [Indexed: 12/16/2022] Open
Abstract
Cells inherit two centrioles, the older of which is uniquely capable of generating a cilium. Using proteomics and superresolved imaging, we identify a module that we term DISCO (distal centriole complex). The DISCO components CEP90, MNR, and OFD1 underlie human ciliopathies. This complex localizes to both distal centrioles and centriolar satellites, proteinaceous granules surrounding centrioles. Cells and mice lacking CEP90 or MNR do not generate cilia, fail to assemble distal appendages, and do not transduce Hedgehog signals. Disrupting the satellite pools does not affect distal appendage assembly, indicating that it is the centriolar populations of MNR and CEP90 that are critical for ciliogenesis. CEP90 recruits the most proximal known distal appendage component, CEP83, to root distal appendage formation, an early step in ciliogenesis. In addition, MNR, but not CEP90, restricts centriolar length by recruiting OFD1. We conclude that DISCO acts at the distal centriole to support ciliogenesis by restraining centriole length and assembling distal appendages, defects in which cause human ciliopathies.
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Affiliation(s)
- Dhivya Kumar
- Department of Biochemistry and Biophysics, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA
| | - Addison Rains
- Department of Cell, Developmental, and Integrative Biology, University of Alabama, Birmingham, AL
| | - Vicente Herranz-Pérez
- Laboratory of Comparative Neurobiology, Cavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, Biomedical Research Networking Center on Neurodegenerative Diseases, Valencia, Spain
- Predepartamental Unit of Medicine, Faculty of Health Sciences, Universitat Jaume I, Castelló de la Plana, Spain
| | - Quanlong Lu
- Laboratory of Cellular and Developmental Signaling, Center for Cancer Research, National Cancer Institute Frederick, Frederick, MD
| | - Xiaoyu Shi
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA
| | - Danielle L. Swaney
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA
- California Institute for Quantitative Biosciences, Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA
- J. David Gladstone Institutes, San Francisco, CA
| | - Erica Stevenson
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA
- California Institute for Quantitative Biosciences, Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA
- J. David Gladstone Institutes, San Francisco, CA
| | - Nevan J. Krogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA
- California Institute for Quantitative Biosciences, Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA
- J. David Gladstone Institutes, San Francisco, CA
| | - Bo Huang
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA
- Chan Zuckerberg Biohub, San Francisco, CA
| | - Christopher Westlake
- Laboratory of Cellular and Developmental Signaling, Center for Cancer Research, National Cancer Institute Frederick, Frederick, MD
| | - Jose Manuel Garcia-Verdugo
- Laboratory of Comparative Neurobiology, Cavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, Biomedical Research Networking Center on Neurodegenerative Diseases, Valencia, Spain
| | - Bradley K. Yoder
- Department of Cell, Developmental, and Integrative Biology, University of Alabama, Birmingham, AL
| | - Jeremy F. Reiter
- Department of Biochemistry and Biophysics, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA
- Chan Zuckerberg Biohub, San Francisco, CA
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45
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Fossati A, Richards AL, Chen KH, Jaganath D, Cattamanchi A, Ernst JD, Swaney DL. Toward Comprehensive Plasma Proteomics by Orthogonal Protease Digestion. J Proteome Res 2021; 20:4031-4040. [PMID: 34319755 DOI: 10.1021/acs.jproteome.1c00357] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Rapid and consistent protein identification across large clinical cohorts is an important goal for clinical proteomics. With the development of data-independent technologies (DIA/SWATH-MS), it is now possible to analyze hundreds of samples with great reproducibility and quantitative accuracy. However, this technology benefits from empirically derived spectral libraries that define the detectable set of peptides and proteins. Here, we apply a simple and accessible tip-based workflow for the generation of spectral libraries to provide a comprehensive overview on the plasma proteome in individuals with and without active tuberculosis (TB). To boost protein coverage, we utilized nonconventional proteases such as GluC and AspN together with the gold standard trypsin, identifying more than 30,000 peptides mapping to 3309 proteins. Application of this library to quantify plasma proteome differences in TB infection recovered more than 400 proteins in 50 min of MS acquisition, including diagnostic Mycobacterium tuberculosis (Mtb) proteins that have previously been detectable primarily by antibody-based assays and intracellular proteins not previously described to be in plasma.
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Affiliation(s)
- Andrea Fossati
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California 94158, United States.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94158, United States.,J. David Gladstone Institutes, San Francisco, California 94158, United States
| | - Alicia L Richards
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California 94158, United States.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94158, United States.,J. David Gladstone Institutes, San Francisco, California 94158, United States
| | - Kuei-Ho Chen
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California 94158, United States.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94158, United States.,J. David Gladstone Institutes, San Francisco, California 94158, United States
| | - Devan Jaganath
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, California 94158, United States.,Center for Tuberculosis, University of California San Francisco, San Francisco, California 94158, United States.,Department of Pediatrics, Division of Pediatric Infectious Diseases, University of California San Francisco, San Francisco, California 94158, United States
| | - Adithya Cattamanchi
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, California 94158, United States.,Center for Tuberculosis, University of California San Francisco, San Francisco, California 94158, United States.,Department of Pediatrics, Division of Pediatric Infectious Diseases, University of California San Francisco, San Francisco, California 94158, United States
| | - Joel D Ernst
- Department of Medicine, Division of Experimental Medicine, University of California San Francisco, San Francisco, California 94143, United States
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California 94158, United States.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94158, United States.,J. David Gladstone Institutes, San Francisco, California 94158, United States
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46
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Tharp KM, Higuchi-Sanabria R, Timblin GA, Ford B, Garzon-Coral C, Schneider C, Muncie JM, Stashko C, Daniele JR, Moore AS, Frankino PA, Homentcovschi S, Manoli SS, Shao H, Richards AL, Chen KH, Hoeve JT, Ku GM, Hellerstein M, Nomura DK, Saijo K, Gestwicki J, Dunn AR, Krogan NJ, Swaney DL, Dillin A, Weaver VM. Adhesion-mediated mechanosignaling forces mitohormesis. Cell Metab 2021; 33:1322-1341.e13. [PMID: 34019840 PMCID: PMC8266765 DOI: 10.1016/j.cmet.2021.04.017] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 02/09/2021] [Accepted: 04/26/2021] [Indexed: 12/11/2022]
Abstract
Mitochondria control eukaryotic cell fate by producing the energy needed to support life and the signals required to execute programed cell death. The biochemical milieu is known to affect mitochondrial function and contribute to the dysfunctional mitochondrial phenotypes implicated in cancer and the morbidities of aging. However, the physical characteristics of the extracellular matrix are also altered in cancerous and aging tissues. Here, we demonstrate that cells sense the physical properties of the extracellular matrix and activate a mitochondrial stress response that adaptively tunes mitochondrial function via solute carrier family 9 member A1-dependent ion exchange and heat shock factor 1-dependent transcription. Overall, our data indicate that adhesion-mediated mechanosignaling may play an unappreciated role in the altered mitochondrial functions observed in aging and cancer.
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Affiliation(s)
- Kevin M Tharp
- Center for Bioengineering and Tissue Regeneration, Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Ryo Higuchi-Sanabria
- Department of Molecular & Cellular Biology, Howard Hughes Medical Institute, University of California Berkeley, Berkeley, CA 94597, USA
| | - Greg A Timblin
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA 94720, USA
| | - Breanna Ford
- Department of Nutritional Sciences and Toxicology, University of California Berkeley, Berkeley, CA 94720, USA; Novartis, Berkeley Center for Proteomics and Chemistry Technologies and Department of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
| | - Carlos Garzon-Coral
- Chemical Engineering Department, Stanford University, Stanford, CA 94305, USA
| | - Catherine Schneider
- Novartis, Berkeley Center for Proteomics and Chemistry Technologies and Department of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
| | - Jonathon M Muncie
- Center for Bioengineering and Tissue Regeneration, Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Connor Stashko
- Center for Bioengineering and Tissue Regeneration, Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Joseph R Daniele
- MD Anderson Cancer Center, South Campus Research, Houston, CA 77054, USA
| | - Andrew S Moore
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - Phillip A Frankino
- Department of Molecular & Cellular Biology, Howard Hughes Medical Institute, University of California Berkeley, Berkeley, CA 94597, USA
| | - Stefan Homentcovschi
- Department of Molecular & Cellular Biology, Howard Hughes Medical Institute, University of California Berkeley, Berkeley, CA 94597, USA
| | - Sagar S Manoli
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Hao Shao
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Alicia L Richards
- Quantitative Biosciences Institute (QBI), J. David Gladstone Institutes, Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Kuei-Ho Chen
- Quantitative Biosciences Institute (QBI), J. David Gladstone Institutes, Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Johanna Ten Hoeve
- UCLA Metabolomics Center, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Gregory M Ku
- Diabetes Center, Division of Endocrinology and Metabolism, Department of Medicine, UCSF, San Francisco, CA 94143, USA
| | - Marc Hellerstein
- Novartis, Berkeley Center for Proteomics and Chemistry Technologies and Department of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
| | - Daniel K Nomura
- Department of Nutritional Sciences and Toxicology, University of California Berkeley, Berkeley, CA 94720, USA; Novartis, Berkeley Center for Proteomics and Chemistry Technologies and Department of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
| | - Karou Saijo
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA 94720, USA
| | - Jason Gestwicki
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Alexander R Dunn
- Department of Nutritional Sciences and Toxicology, University of California Berkeley, Berkeley, CA 94720, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), J. David Gladstone Institutes, Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI), J. David Gladstone Institutes, Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Andrew Dillin
- Department of Molecular & Cellular Biology, Howard Hughes Medical Institute, University of California Berkeley, Berkeley, CA 94597, USA
| | - Valerie M Weaver
- Center for Bioengineering and Tissue Regeneration, Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Bioengineering and Therapeutic Sciences and Department of Radiation Oncology, Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, and The Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA.
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47
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Kim M, Park J, Bouhaddou M, Kim K, Rojc A, Modak M, Soucheray M, O'Leary P, Wolf D, Mitchell DC, Zheng F, Gordan JD, Coppé JP, Swaney DL, van' t Veer L, Ashworth A, Ideker T, Krogan NJ. Abstract 2308: The protein interaction landscape of breast cancer. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-2308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Cancers have been associated with a diverse array of genomic alterations, many of which are rare with unknown significance. To understand the cellular mechanisms impacted by such alterations in breast invasive carcinoma, we have applied affinity-purification mass spectrometry to delineate comprehensive biophysical interaction networks for 40 frequently altered breast cancer proteins across three human breast cell lines, providing a novel resource of context-specific and shared protein-protein interaction networks in breast cancer cells. These networks interconnect and enrich for common and rare cancer mutations, and are substantially rewired by mutations. Our analysis identifies novel PIK3CA-interacting proteins which repress AKT signaling, and UBE2N emerges as a BRCA1 interactor predictive of clinical response to PARP inhibition. We also show that Spinophilin interacts with and dephosphorylates BRCA1 to promote DNA double-strand break repair. Thus, cancer protein interaction landscapes provide a framework for recognizing oncogenic drivers and drug vulnerabilities.
Citation Format: Minkyu Kim, Jisoo Park, Mehdi Bouhaddou, Kyumin Kim, Ajda Rojc, Maya Modak, Margaret Soucheray, Patrick O'Leary, Denise Wolf, Dominique C. Mitchell, Fan Zheng, John D. Gordan, Jean-Philippe Coppé, Danielle L. Swaney, Laura van' t Veer, Alan Ashworth, Trey Ideker, Nevan J. Krogan. The protein interaction landscape of breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2308.
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Affiliation(s)
- Minkyu Kim
- 1University of California San Francisco, San Francisco, CA
| | - Jisoo Park
- 2University of California San Diego, San Diego, CA
| | | | - Kyumin Kim
- 3University of Southern California, Los Angeles, CA
| | - Ajda Rojc
- 1University of California San Francisco, San Francisco, CA
| | - Maya Modak
- 1University of California San Francisco, San Francisco, CA
| | | | | | - Denise Wolf
- 1University of California San Francisco, San Francisco, CA
| | | | - Fan Zheng
- 2University of California San Diego, San Diego, CA
| | - John D. Gordan
- 1University of California San Francisco, San Francisco, CA
| | | | | | | | - Alan Ashworth
- 1University of California San Francisco, San Francisco, CA
| | - Trey Ideker
- 2University of California San Diego, San Diego, CA
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48
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Thorne LG, Bouhaddou M, Reuschl AK, Zuliani-Alvarez L, Polacco B, Pelin A, Batra J, Whelan MV, Ummadi M, Rojc A, Turner J, Obernier K, Braberg H, Soucheray M, Richards A, Chen KH, Harjai B, Memon D, Hosmillo M, Hiatt J, Jahun A, Goodfellow IG, Fabius JM, Shokat K, Jura N, Verba K, Noursadeghi M, Beltrao P, Swaney DL, Garcia-Sastre A, Jolly C, Towers GJ, Krogan NJ. Evolution of enhanced innate immune evasion by the SARS-CoV-2 B.1.1.7 UK variant. bioRxiv 2021:2021.06.06.446826. [PMID: 34127972 PMCID: PMC8202424 DOI: 10.1101/2021.06.06.446826] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Emergence of SARS-CoV-2 variants, including the globally successful B.1.1.7 lineage, suggests viral adaptations to host selective pressures resulting in more efficient transmission. Although much effort has focused on Spike adaptation for viral entry and adaptive immune escape, B.1.1.7 mutations outside Spike likely contribute to enhance transmission. Here we used unbiased abundance proteomics, phosphoproteomics, mRNA sequencing and viral replication assays to show that B.1.1.7 isolates more effectively suppress host innate immune responses in airway epithelial cells. We found that B.1.1.7 isolates have dramatically increased subgenomic RNA and protein levels of Orf9b and Orf6, both known innate immune antagonists. Expression of Orf9b alone suppressed the innate immune response through interaction with TOM70, a mitochondrial protein required for RNA sensing adaptor MAVS activation, and Orf9b binding and activity was regulated via phosphorylation. We conclude that B.1.1.7 has evolved beyond the Spike coding region to more effectively antagonise host innate immune responses through upregulation of specific subgenomic RNA synthesis and increased protein expression of key innate immune antagonists. We propose that more effective innate immune antagonism increases the likelihood of successful B.1.1.7 transmission, and may increase in vivo replication and duration of infection.
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Affiliation(s)
- Lucy G Thorne
- Division of Infection and Immunity, University College London, London, WC1E 6BT, United Kingdom
| | - Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Ann-Kathrin Reuschl
- Division of Infection and Immunity, University College London, London, WC1E 6BT, United Kingdom
| | - Lorena Zuliani-Alvarez
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Ben Polacco
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Adrian Pelin
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jyoti Batra
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Matthew V.X. Whelan
- Division of Infection and Immunity, University College London, London, WC1E 6BT, United Kingdom
| | - Manisha Ummadi
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Ajda Rojc
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jane Turner
- Division of Infection and Immunity, University College London, London, WC1E 6BT, United Kingdom
| | - Kirsten Obernier
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Hannes Braberg
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Margaret Soucheray
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Alicia Richards
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Kuei-Ho Chen
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Bhavya Harjai
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Myra Hosmillo
- Division of Virology, Department of Pathology, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge CB2 2QQ, UK
| | - Joseph Hiatt
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Aminu Jahun
- Division of Virology, Department of Pathology, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge CB2 2QQ, UK
| | - Ian G. Goodfellow
- Division of Virology, Department of Pathology, University of Cambridge, Addenbrooke’s Hospital, Hills Road, Cambridge CB2 2QQ, UK
| | - Jacqueline M. Fabius
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Kevan Shokat
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - Natalia Jura
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
- Cardiovascular Research Institute, University of California - San Francisco, San Francisco, CA 94158, U.S.A
| | - Klim Verba
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, WC1E 6BT, United Kingdom
| | - Pedro Beltrao
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Danielle L. Swaney
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Adolfo Garcia-Sastre
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Clare Jolly
- Division of Infection and Immunity, University College London, London, WC1E 6BT, United Kingdom
| | - Greg J. Towers
- Division of Infection and Immunity, University College London, London, WC1E 6BT, United Kingdom
| | - Nevan J. Krogan
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
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49
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Gupta M, Azumaya CM, Moritz M, Pourmal S, Diallo A, Merz GE, Jang G, Bouhaddou M, Fossati A, Brilot AF, Diwanji D, Hernandez E, Herrera N, Kratochvil HT, Lam VL, Li F, Li Y, Nguyen HC, Nowotny C, Owens TW, Peters JK, Rizo AN, Schulze-Gahmen U, Smith AM, Young ID, Yu Z, Asarnow D, Billesbølle C, Campbell MG, Chen J, Chen KH, Chio US, Dickinson MS, Doan L, Jin M, Kim K, Li J, Li YL, Linossi E, Liu Y, Lo M, Lopez J, Lopez KE, Mancino A, Moss FR, Paul MD, Pawar KI, Pelin A, Pospiech TH, Puchades C, Remesh SG, Safari M, Schaefer K, Sun M, Tabios MC, Thwin AC, Titus EW, Trenker R, Tse E, Tsui TKM, Wang F, Zhang K, Zhang Y, Zhao J, Zhou F, Zhou Y, Zuliani-Alvarez L, Agard DA, Cheng Y, Fraser JS, Jura N, Kortemme T, Manglik A, Southworth DR, Stroud RM, Swaney DL, Krogan NJ, Frost A, Rosenberg OS, Verba KA. CryoEM and AI reveal a structure of SARS-CoV-2 Nsp2, a multifunctional protein involved in key host processes. Res Sq 2021:rs.3.rs-515215. [PMID: 34031651 PMCID: PMC8142659 DOI: 10.21203/rs.3.rs-515215/v1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The SARS-CoV-2 protein Nsp2 has been implicated in a wide range of viral processes, but its exact functions, and the structural basis of those functions, remain unknown. Here, we report an atomic model for full-length Nsp2 obtained by combining cryo-electron microscopy with deep learning-based structure prediction from AlphaFold2. The resulting structure reveals a highly-conserved zinc ion-binding site, suggesting a role for Nsp2 in RNA binding. Mapping emerging mutations from variants of SARS-CoV-2 on the resulting structure shows potential host-Nsp2 interaction regions. Using structural analysis together with affinity tagged purification mass spectrometry experiments, we identify Nsp2 mutants that are unable to interact with the actin-nucleation-promoting WASH protein complex or with GIGYF2, an inhibitor of translation initiation and modulator of ribosome-associated quality control. Our work suggests a potential role of Nsp2 in linking viral transcription within the viral replication-transcription complexes (RTC) to the translation initiation of the viral message. Collectively, the structure reported here, combined with mutant interaction mapping, provides a foundation for functional studies of this evolutionary conserved coronavirus protein and may assist future drug design.
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Affiliation(s)
- Meghna Gupta
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Caleigh M. Azumaya
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michelle Moritz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Sergei Pourmal
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amy Diallo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gregory E. Merz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gwendolyn Jang
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Andrea Fossati
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Axel F. Brilot
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Devan Diwanji
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Evelyn Hernandez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Nadia Herrera
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Huong T. Kratochvil
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Victor L. Lam
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fei Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Henry C. Nguyen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Carlos Nowotny
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tristan W. Owens
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jessica K. Peters
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Alexandrea N. Rizo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ursula Schulze-Gahmen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amber M. Smith
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Iris D. Young
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Zanlin Yu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Daniel Asarnow
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Christian Billesbølle
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Melody G. Campbell
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Jen Chen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kuei-Ho Chen
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Un Seng Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Miles Sasha Dickinson
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Loan Doan
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Mingliang Jin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kate Kim
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Junrui Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yen-Li Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Edmond Linossi
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yanxin Liu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Megan Lo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jocelyne Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kyle E. Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adamo Mancino
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Frank R. Moss
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michael D. Paul
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Komal Ishwar Pawar
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adrian Pelin
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Thomas H. Pospiech
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Cristina Puchades
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Soumya Govinda Remesh
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Maliheh Safari
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaitlin Schaefer
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ming Sun
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Beam Therapeutics, Cambridge, MA 02139, USA
| | - Mariano C Tabios
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Aye C. Thwin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Erron W. Titus
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Raphael Trenker
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Eric Tse
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tsz Kin Martin Tsui
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Feng Wang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaihua Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jianhua Zhao
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fengbo Zhou
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Lorena Zuliani-Alvarez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | | | - David A Agard
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Yifan Cheng
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - James S Fraser
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Natalia Jura
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA
| | - Tanja Kortemme
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
- The University of California, Berkeley–University of California, San Francisco Graduate Program in Bioengineering, University of California, San Francisco, CA 94158, USA
| | - Aashish Manglik
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Daniel R. Southworth
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Robert M Stroud
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adam Frost
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Oren S Rosenberg
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Kliment A Verba
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
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Gupta M, Azumaya CM, Moritz M, Pourmal S, Diallo A, Merz GE, Jang G, Bouhaddou M, Fossati A, Brilot AF, Diwanji D, Hernandez E, Herrera N, Kratochvil HT, Lam VL, Li F, Li Y, Nguyen HC, Nowotny C, Owens TW, Peters JK, Rizo AN, Schulze-Gahmen U, Smith AM, Young ID, Yu Z, Asarnow D, Billesbølle C, Campbell MG, Chen J, Chen KH, Chio US, Dickinson MS, Doan L, Jin M, Kim K, Li J, Li YL, Linossi E, Liu Y, Lo M, Lopez J, Lopez KE, Mancino A, Moss FR, Paul MD, Pawar KI, Pelin A, Pospiech TH, Puchades C, Remesh SG, Safari M, Schaefer K, Sun M, Tabios MC, Thwin AC, Titus EW, Trenker R, Tse E, Tsui TKM, Wang F, Zhang K, Zhang Y, Zhao J, Zhou F, Zhou Y, Zuliani-Alvarez L, Agard DA, Cheng Y, Fraser JS, Jura N, Kortemme T, Manglik A, Southworth DR, Stroud RM, Swaney DL, Krogan NJ, Frost A, Rosenberg OS, Verba KA. CryoEM and AI reveal a structure of SARS-CoV-2 Nsp2, a multifunctional protein involved in key host processes. bioRxiv 2021:2021.05.10.443524. [PMID: 34013269 PMCID: PMC8132225 DOI: 10.1101/2021.05.10.443524] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The SARS-CoV-2 protein Nsp2 has been implicated in a wide range of viral processes, but its exact functions, and the structural basis of those functions, remain unknown. Here, we report an atomic model for full-length Nsp2 obtained by combining cryo-electron microscopy with deep learning-based structure prediction from AlphaFold2. The resulting structure reveals a highly-conserved zinc ion-binding site, suggesting a role for Nsp2 in RNA binding. Mapping emerging mutations from variants of SARS-CoV-2 on the resulting structure shows potential host-Nsp2 interaction regions. Using structural analysis together with affinity tagged purification mass spectrometry experiments, we identify Nsp2 mutants that are unable to interact with the actin-nucleation-promoting WASH protein complex or with GIGYF2, an inhibitor of translation initiation and modulator of ribosome-associated quality control. Our work suggests a potential role of Nsp2 in linking viral transcription within the viral replication-transcription complexes (RTC) to the translation initiation of the viral message. Collectively, the structure reported here, combined with mutant interaction mapping, provides a foundation for functional studies of this evolutionary conserved coronavirus protein and may assist future drug design.
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Affiliation(s)
- Meghna Gupta
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Caleigh M Azumaya
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michelle Moritz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Sergei Pourmal
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amy Diallo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gregory E Merz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gwendolyn Jang
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Andrea Fossati
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Axel F Brilot
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Devan Diwanji
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Evelyn Hernandez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Nadia Herrera
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Huong T Kratochvil
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Victor L Lam
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fei Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Henry C Nguyen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Carlos Nowotny
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tristan W Owens
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jessica K Peters
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Alexandrea N Rizo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ursula Schulze-Gahmen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amber M Smith
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Iris D Young
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Zanlin Yu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Daniel Asarnow
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Christian Billesbølle
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Melody G Campbell
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Jen Chen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kuei-Ho Chen
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Un Seng Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Miles Sasha Dickinson
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Loan Doan
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Mingliang Jin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kate Kim
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Junrui Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yen-Li Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Edmond Linossi
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yanxin Liu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Megan Lo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jocelyne Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kyle E Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adamo Mancino
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Frank R Moss
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michael D Paul
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Komal Ishwar Pawar
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adrian Pelin
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Thomas H Pospiech
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Cristina Puchades
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Soumya Govinda Remesh
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Maliheh Safari
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaitlin Schaefer
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ming Sun
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Beam Therapeutics, Cambridge, MA 02139, USA
| | - Mariano C Tabios
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Aye C Thwin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Erron W Titus
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Raphael Trenker
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Eric Tse
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tsz Kin Martin Tsui
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Feng Wang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaihua Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jianhua Zhao
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fengbo Zhou
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Lorena Zuliani-Alvarez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - David A Agard
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Yifan Cheng
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - James S Fraser
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Natalia Jura
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA
| | - Tanja Kortemme
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
- The University of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, University of California, San Francisco, CA 94158, USA
| | - Aashish Manglik
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Daniel R Southworth
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Robert M Stroud
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adam Frost
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Oren S Rosenberg
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Kliment A Verba
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
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