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Aymoz-Bressot T, Canis M, Meurisse F, Wijkhuisen A, Favier B, Mousseau G, Dupressoir A, Heidmann T, Bacquin A. Cell-Int: a cell-cell interaction assay to identify native membrane protein interactions. Life Sci Alliance 2024; 7:e202402844. [PMID: 39237366 PMCID: PMC11377309 DOI: 10.26508/lsa.202402844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 08/29/2024] [Accepted: 08/29/2024] [Indexed: 09/07/2024] Open
Abstract
Intercellular protein-protein interactions (PPIs) have pivotal roles in biological functions and diseases. Membrane proteins are therefore a major class of drug targets. However, studying such intercellular PPIs is challenging because of the properties of membrane proteins. Current methods commonly use purified or modified proteins that are not physiologically relevant and hence might mischaracterize interactions occurring in vivo. Here, we describe Cell-Int: a cell interaction assay for studying plasma membrane PPIs. The interaction signal is measured through conjugate formation between two populations of cells each expressing either a ligand or a receptor. In these settings, membrane proteins are in their native environment thus being physiologically relevant. Cell-Int has been applied to the study of diverse protein partners, and enables to investigate the inhibitory potential of blocking antibodies, as well as the retargeting of fusion proteins for therapeutic development. The assay was also validated for screening applications and could serve as a platform for identifying new protein interactors.
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Affiliation(s)
- Thibaud Aymoz-Bressot
- CNRS UMR9196, Laboratory of Molecular Physiology and Pathology of Endogenous and Infectious Retroviruses, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Marie Canis
- CNRS UMR9196, Laboratory of Molecular Physiology and Pathology of Endogenous and Infectious Retroviruses, Gustave Roussy, Université Paris-Saclay, Villejuif, France
- VIROXIS, Gustave Roussy, Villejuif, France
| | - Florian Meurisse
- Université Paris-Saclay, Inserm, CEA, Center for Immunology of Viral, Auto-immune, Hematological and Bacterial Diseases (IMVA-HB/IDMIT), Paris, France
| | - Anne Wijkhuisen
- Université Paris-Saclay, CEA, INRAE, Médicaments et Technologies pour la Santé (MTS), Gif-sur-Yvette, France
| | - Benoit Favier
- Université Paris-Saclay, Inserm, CEA, Center for Immunology of Viral, Auto-immune, Hematological and Bacterial Diseases (IMVA-HB/IDMIT), Paris, France
| | | | - Anne Dupressoir
- CNRS UMR9196, Laboratory of Molecular Physiology and Pathology of Endogenous and Infectious Retroviruses, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Thierry Heidmann
- CNRS UMR9196, Laboratory of Molecular Physiology and Pathology of Endogenous and Infectious Retroviruses, Gustave Roussy, Université Paris-Saclay, Villejuif, France
- VIROXIS, Gustave Roussy, Villejuif, France
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2
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Mousseau G, Préault N, Souquere S, Bireau C, Cassonnet P, Bacquin A, Beck L, Pierron G, Jacob Y, Dupressoir A, Heidmann T. Sodium-dependent phosphate transporter PiT1/SLC20A1 as the receptor for the endogenous retroviral envelope syncytin-B involved in mouse placenta formation. J Virol 2024:e0091524. [PMID: 39287391 DOI: 10.1128/jvi.00915-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Accepted: 08/11/2024] [Indexed: 09/19/2024] Open
Abstract
Syncytins are envelope genes of retroviral origin that play a critical role in the formation of a syncytial structure at the fetomaternal interface via their fusogenic activity. The mouse placenta is unique among placental mammals since the fetomaternal interface comprises two syncytiotrophoblast layers (ST-I and ST-II) instead of one observed in all other hemochorial placentae. Each layer specifically expresses a distinct mouse syncytin, namely syncytin-A (SynA) for ST-I and syncytin-B (SynB) for ST-II, which have been shown to be essential to placentogenesis and embryonic development. The cellular receptor for SynA has been identified as the membrane protein LY6E and is not the receptor for SynB. Here, by combining a cell-cell fusion assay with the screening of a human ORFeome-derived expression library, we identified the transmembrane multipass sodium-dependent phosphate transporter 1 PiT1/SLC20A1 as the receptor for SynB. Transfection of cells with the cloned receptor, but not the closely related PiT2/SLC20A2, leads to their fusion with cells expressing SynB, with no cross-reactive fusion activity with SynA. The interaction between the two partners was further demonstrated by immunoprecipitation. PiT1/PiT2 chimera and truncation experiments identified the PiT1 N-terminus as the major determinant for SynB-mediated fusion. RT-qPCR analysis of PiT1 expression on a panel of mouse adult and fetal tissues revealed a concomitant increase of PiT1 and SynB specifically in the developing placenta. Finally, electron microscopy analysis of the placenta of PiT1 null embryo before they die (E11.5) disclosed default of ST-II formation with lack of syncytialization, as previously observed in cognate SynB null placenta, and consistent with the present identification of PiT1 as the SynB partner.IMPORTANCESyncytins are envelope genes of endogenous retroviruses, coopted for a physiological function in placentation. They are fusogenic proteins that mediate cell-cell fusion by interacting with receptors present on the partner cells. Here, by devising an in vitro fusion assay that enables the screening of an ORFeome-derived expression library, we identified the long-sought receptor for syncytin-B (SynB), a mouse syncytin responsible for syncytiotrophoblast formation at the fetomaternal interface of the mouse placenta. This protein - PiT1/SLC20A1 - is a multipass transmembrane protein, also known as the receptor for a series of infectious retroviruses. Its profile of expression is consistent with a role in both ancestral endogenization of a SynB founder retrovirus and present-day mouse placenta formation, with evidence-in PiT1 knockout mice-of unfused cells at the level of the cognate placental syncytiotrophoblast layer.
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Affiliation(s)
| | - Noémie Préault
- Unité Physiologie et Pathologie Moléculaires des Rétrovirus Endogènes et Infectieux, CNRS UMR 9196, Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Sylvie Souquere
- AMMICA UMS-3655, Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Caroline Bireau
- Unité Physiologie et Pathologie Moléculaires des Rétrovirus Endogènes et Infectieux, CNRS UMR 9196, Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Patricia Cassonnet
- Unité de Génétique Moléculaire des Virus à ARN, Département Virologie, Institut Pasteur, Paris, France
- UMR3569, Centre National de la Recherche Scientifique, Paris, France
- Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | | | - Laurent Beck
- Nantes Université, CNRS, Inserm, l'Institut du Thorax, Nantes, France
| | - Gérard Pierron
- Unité Physiologie et Pathologie Moléculaires des Rétrovirus Endogènes et Infectieux, CNRS UMR 9196, Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Yves Jacob
- Unité de Génétique Moléculaire des Virus à ARN, Département Virologie, Institut Pasteur, Paris, France
- UMR3569, Centre National de la Recherche Scientifique, Paris, France
- Université Paris Diderot, Sorbonne Paris Cité, Paris, France
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute (DFCI), Boston, Massachusetts, USA
| | - Anne Dupressoir
- Unité Physiologie et Pathologie Moléculaires des Rétrovirus Endogènes et Infectieux, CNRS UMR 9196, Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Thierry Heidmann
- Viroxis, Institut Gustave Roussy, Villejuif, France
- Unité Physiologie et Pathologie Moléculaires des Rétrovirus Endogènes et Infectieux, CNRS UMR 9196, Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France
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3
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Yanagida S, Yuki R, Saito Y, Nakayama Y. LAT1 supports mitotic progression through Golgi unlinking in an amino acid transport activity-independent manner. J Biol Chem 2024:107761. [PMID: 39270820 DOI: 10.1016/j.jbc.2024.107761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 08/30/2024] [Accepted: 09/01/2024] [Indexed: 09/15/2024] Open
Abstract
Amino acid transporters play a vital role in cellular homeostasis by maintaining protein synthesis. L-type amino acid transporter 1 (LAT1/SLC7A5/CD98lc) is a major transporter of large neutral amino acids in cancer cells because of its predominant expression. Although amino acid restriction with various amino acid analog treatments is known to induce mitotic defects, the involvement of amino acid transporters in cell division remains unclear. In this study, we identified that LAT1 is responsible for mitotic progression in a transport activity-independent manner. LAT1 knockdown activates the spindle assembly checkpoint, leading to a delay in metaphase. LAT1 maintains proper spindle orientation with confinement of the lateral cortex localization of the NuMA protein, which mediates the pulling force against the mitotic spindle toward the lateral cortex. Unexpectedly, JPH203, an inhibitor of LAT1 amino acid transport activity, does not affect mitotic progression. Moreover, the transport activity-deficient LAT1 mutant maintains the proper spindle orientation and mitotic progression. LAT1 forms a heterodimer with CD98 (SLC3A2/CD98hc) both in interphase and mitosis. Although CD98 knockdown decreases the plasma membrane localization of LAT1, it does not affect mitotic progression. LAT1 is localized to the Golgi and ER not only at the plasma membrane in interphase, and promotes Golgi unlinking during the mitotic entry, leading to centrosome maturation. These results suggest that LAT1 supports mitotic progression in an amino acid transport activity-independent manner and that Golgi-localized LAT1 is important for mitotic progression through the acceleration of Golgi unlinking and centrosome maturation. These findings reveal a novel LAT1 function in mitosis.
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Affiliation(s)
- Sakura Yanagida
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan
| | - Ryuzaburo Yuki
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.
| | - Youhei Saito
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan
| | - Yuji Nakayama
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.
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4
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Bradley D, Hogrebe A, Dandage R, Dubé AK, Leutert M, Dionne U, Chang A, Villén J, Landry CR. The fitness cost of spurious phosphorylation. EMBO J 2024:10.1038/s44318-024-00200-7. [PMID: 39256561 DOI: 10.1038/s44318-024-00200-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 07/23/2024] [Accepted: 07/24/2024] [Indexed: 09/12/2024] Open
Abstract
The fidelity of signal transduction requires the binding of regulatory molecules to their cognate targets. However, the crowded cell interior risks off-target interactions between proteins that are functionally unrelated. How such off-target interactions impact fitness is not generally known. Here, we use Saccharomyces cerevisiae to inducibly express tyrosine kinases. Because yeast lacks bona fide tyrosine kinases, the resulting tyrosine phosphorylation is biologically spurious. We engineered 44 yeast strains each expressing a tyrosine kinase, and quantitatively analysed their phosphoproteomes. This analysis resulted in ~30,000 phosphosites mapping to ~3500 proteins. The number of spurious pY sites generated correlates strongly with decreased growth, and we predict over 1000 pY events to be deleterious. However, we also find that many of the spurious pY sites have a negligible effect on fitness, possibly because of their low stoichiometry. This result is consistent with our evolutionary analyses demonstrating a lack of phosphotyrosine counter-selection in species with tyrosine kinases. Our results suggest that, alongside the risk for toxicity, the cell can tolerate a large degree of non-functional crosstalk as interaction networks evolve.
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Affiliation(s)
- David Bradley
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, QC, Canada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université du Québec à Montréal, Montréal, QC, Canada
- Université Laval Big Data Research Center (BDRC_UL), Québec, QC, Canada
- Department of Biology, Université Laval, Québec, QC, Canada
| | - Alexander Hogrebe
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Rohan Dandage
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, QC, Canada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université du Québec à Montréal, Montréal, QC, Canada
- Université Laval Big Data Research Center (BDRC_UL), Québec, QC, Canada
- Department of Biology, Université Laval, Québec, QC, Canada
| | - Alexandre K Dubé
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, QC, Canada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université du Québec à Montréal, Montréal, QC, Canada
- Université Laval Big Data Research Center (BDRC_UL), Québec, QC, Canada
- Department of Biology, Université Laval, Québec, QC, Canada
| | - Mario Leutert
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland
| | - Ugo Dionne
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, QC, Canada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université du Québec à Montréal, Montréal, QC, Canada
- Université Laval Big Data Research Center (BDRC_UL), Québec, QC, Canada
- Department of Biology, Université Laval, Québec, QC, Canada
| | - Alexis Chang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Judit Villén
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
| | - Christian R Landry
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada.
- Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, QC, Canada.
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université du Québec à Montréal, Montréal, QC, Canada.
- Université Laval Big Data Research Center (BDRC_UL), Québec, QC, Canada.
- Department of Biology, Université Laval, Québec, QC, Canada.
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5
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Khoroshkin M, Buyan A, Dodel M, Navickas A, Yu J, Trejo F, Doty A, Baratam R, Zhou S, Lee SB, Joshi T, Garcia K, Choi B, Miglani S, Subramanyam V, Modi H, Carpenter C, Markett D, Corces MR, Mardakheh FK, Kulakovskiy IV, Goodarzi H. Systematic identification of post-transcriptional regulatory modules. Nat Commun 2024; 15:7872. [PMID: 39251607 PMCID: PMC11385195 DOI: 10.1038/s41467-024-52215-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Accepted: 08/27/2024] [Indexed: 09/11/2024] Open
Abstract
In our cells, a limited number of RNA binding proteins (RBPs) are responsible for all aspects of RNA metabolism across the entire transcriptome. To accomplish this, RBPs form regulatory units that act on specific target regulons. However, the landscape of RBP combinatorial interactions remains poorly explored. Here, we perform a systematic annotation of RBP combinatorial interactions via multimodal data integration. We build a large-scale map of RBP protein neighborhoods by generating in vivo proximity-dependent biotinylation datasets of 50 human RBPs. In parallel, we use CRISPR interference with single-cell readout to capture transcriptomic changes upon RBP knockdowns. By combining these physical and functional interaction readouts, along with the atlas of RBP mRNA targets from eCLIP assays, we generate an integrated map of functional RBP interactions. We then use this map to match RBPs to their context-specific functions and validate the predicted functions biochemically for four RBPs. This study provides a detailed map of RBP interactions and deconvolves them into distinct regulatory modules with annotated functions and target regulons. This multimodal and integrative framework provides a principled approach for studying post-transcriptional regulatory processes and enriches our understanding of their underlying mechanisms.
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Affiliation(s)
- Matvei Khoroshkin
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Andrey Buyan
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia
| | - Martin Dodel
- Centre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Albertas Navickas
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
- Institut Curie, UMR3348 CNRS, Inserm, Orsay, France
| | - Johnny Yu
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Fathima Trejo
- College of Arts and Sciences, University of San Francisco, San Francisco, CA, USA
| | - Anthony Doty
- College of Arts and Sciences, University of San Francisco, San Francisco, CA, USA
| | - Rithvik Baratam
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Shaopu Zhou
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Sean B Lee
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Tanvi Joshi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Kristle Garcia
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Benedict Choi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Sohit Miglani
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Vishvak Subramanyam
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Hailey Modi
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Christopher Carpenter
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel Markett
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - M Ryan Corces
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Faraz K Mardakheh
- Centre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.
- Department of Biochemistry, University of Oxford, Oxford, UK.
| | - Ivan V Kulakovskiy
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia.
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
| | - Hani Goodarzi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA.
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
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6
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Nemčko F, Himmelsbach M, Loubiere V, Yelagandula R, Pagani M, Fasching N, Brennecke J, Elling U, Stark A, Ameres SL. Proteome-scale tagging and functional screening in mammalian cells by ORFtag. Nat Methods 2024; 21:1668-1673. [PMID: 38969721 PMCID: PMC11399080 DOI: 10.1038/s41592-024-02339-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 06/10/2024] [Indexed: 07/07/2024]
Abstract
The systematic determination of protein function is a key goal of modern biology, but remains challenging with current approaches. Here we present ORFtag, a versatile, cost-effective and highly efficient method for the massively parallel tagging and functional interrogation of proteins at the proteome scale. ORFtag uses retroviral vectors bearing a promoter, peptide tag and splice donor to generate fusions between the tag and endogenous open reading frames (ORFs). We demonstrate the utility of ORFtag through functional screens for transcriptional activators, repressors and posttranscriptional regulators in mouse embryonic stem cells. Each screen recovers known and identifies new regulators, including long ORFs inaccessible by other methods. Among other hits, we find that Zfp574 is a highly selective transcriptional activator and that oncogenic fusions often function as transactivators.
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Affiliation(s)
- Filip Nemčko
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria
- Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna, Austria
| | - Moritz Himmelsbach
- Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna, Austria
- Max Perutz Laboratories, Vienna BioCenter (VBC), Vienna, Austria
- Department of Biochemistry and Cell Biology, Max Perutz Labs, University of Vienna, Vienna, Austria
- Institute of Molecular Biotechnology (IMBA), Vienna BioCenter (VBC), Vienna, Austria
| | - Vincent Loubiere
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria
| | - Ramesh Yelagandula
- Institute of Molecular Biotechnology (IMBA), Vienna BioCenter (VBC), Vienna, Austria
- Laboratory of Epigenetics, Cell Fate and Disease, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, India
| | - Michaela Pagani
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria
| | - Nina Fasching
- Institute of Molecular Biotechnology (IMBA), Vienna BioCenter (VBC), Vienna, Austria
- QUANTRO Therapeutics GmbH, Vienna, Austria
| | - Julius Brennecke
- Institute of Molecular Biotechnology (IMBA), Vienna BioCenter (VBC), Vienna, Austria.
| | - Ulrich Elling
- Institute of Molecular Biotechnology (IMBA), Vienna BioCenter (VBC), Vienna, Austria.
| | - Alexander Stark
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.
- Medical University of Vienna, Vienna BioCenter (VBC), Vienna, Austria.
| | - Stefan L Ameres
- Max Perutz Laboratories, Vienna BioCenter (VBC), Vienna, Austria.
- Department of Biochemistry and Cell Biology, Max Perutz Labs, University of Vienna, Vienna, Austria.
- Institute of Molecular Biotechnology (IMBA), Vienna BioCenter (VBC), Vienna, Austria.
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7
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Pha K, Mirrashidi K, Sherry J, Tran CJ, Herrera CM, McMahon E, Elwell CA, Engel JN. The Chlamydia effector IncE employs two short linear motifs to reprogram host vesicle trafficking. Cell Rep 2024; 43:114624. [PMID: 39154341 DOI: 10.1016/j.celrep.2024.114624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/26/2024] [Accepted: 07/29/2024] [Indexed: 08/20/2024] Open
Abstract
Chlamydia trachomatis, a leading cause of bacterial sexually transmitted infections, creates a specialized intracellular replicative niche by translocation and insertion of a diverse array of effectors (Incs [inclusion membrane proteins]) into the inclusion membrane. Here, we characterize IncE, a multifunctional Inc that encodes two non-overlapping short linear motifs (SLiMs) within its short cytosolic C terminus. The proximal SLiM, by mimicking just a small portion of an R-N-ethylmaleimide-sensitive factor adaptor protein receptor (SNARE) motif, binds and recruits syntaxin (STX)7- and STX12-containing vesicles to the inclusion. The distal SLiM mimics the sorting nexin (SNX)5 and SNX6 cargo binding site to recruit SNX6-containing vesicles to the inclusion. By simultaneously binding two distinct vesicle classes, IncE brings these vesicles in close apposition with each other at the inclusion to facilitate C. trachomatis intracellular development. Our work suggests that Incs may have evolved SLiMs to enable rapid evolution in a limited protein space to disrupt host cell processes.
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Affiliation(s)
- Khavong Pha
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Kathleen Mirrashidi
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jessica Sherry
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Cuong Joseph Tran
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Clara M Herrera
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Eleanor McMahon
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Cherilyn A Elwell
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA.
| | - Joanne N Engel
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA.
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8
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Goodman LD, Ralhan I, Li X, Lu S, Moulton MJ, Park YJ, Zhao P, Kanca O, Ghaderpour Taleghani ZS, Jacquemyn J, Shulman JM, Ando K, Sun K, Ioannou MS, Bellen HJ. Tau is required for glial lipid droplet formation and resistance to neuronal oxidative stress. Nat Neurosci 2024:10.1038/s41593-024-01740-1. [PMID: 39187706 DOI: 10.1038/s41593-024-01740-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 07/29/2024] [Indexed: 08/28/2024]
Abstract
The accumulation of reactive oxygen species (ROS) is a common feature of tauopathies, defined by Tau accumulations in neurons and glia. High ROS in neurons causes lipid production and the export of toxic peroxidated lipids (LPOs). Glia uptake these LPOs and incorporate them into lipid droplets (LDs) for storage and catabolism. We found that overexpressing Tau in glia disrupts LDs in flies and rat neuron-astrocyte co-cultures, sensitizing the glia to toxic, neuronal LPOs. Using a new fly tau loss-of-function allele and RNA-mediated interference, we found that endogenous Tau is required for glial LD formation and protection against neuronal LPOs. Similarly, endogenous Tau is required in rat astrocytes and human oligodendrocyte-like cells for LD formation and the breakdown of LPOs. Behaviorally, flies lacking glial Tau have decreased lifespans and motor defects that are rescuable by administering the antioxidant N-acetylcysteine amide. Overall, this work provides insights into the important role that Tau has in glia to mitigate ROS in the brain.
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Affiliation(s)
- Lindsey D Goodman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Isha Ralhan
- Department of Physiology, University of Alberta, Edmonton, Alberta, Canada
- Group on Molecular and Cell Biology of Lipids, University of Alberta, Edmonton, Alberta, Canada
| | - Xin Li
- Center for Metabolic and Degenerative Diseases, The Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Shenzhao Lu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Matthew J Moulton
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Ye-Jin Park
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
- Program in Development, Disease Models and Therapeutics, Baylor College of Medicine, Houston, TX, USA
| | - Pinghan Zhao
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Oguz Kanca
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Ziyaneh S Ghaderpour Taleghani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Julie Jacquemyn
- Department of Physiology, University of Alberta, Edmonton, Alberta, Canada
- Group on Molecular and Cell Biology of Lipids, University of Alberta, Edmonton, Alberta, Canada
| | - Joshua M Shulman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Kanae Ando
- Department of Biological Sciences, Tokyo Metropolitan University, Hachioji, Tokyo, Japan
| | - Kai Sun
- Center for Metabolic and Degenerative Diseases, The Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases, University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Integrative Biology and Pharmacology, Graduate Program in Cell and Regulatory Biology, Graduate School of Biomedical Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Maria S Ioannou
- Department of Physiology, University of Alberta, Edmonton, Alberta, Canada
- Group on Molecular and Cell Biology of Lipids, University of Alberta, Edmonton, Alberta, Canada
- Department of Cell Biology, University of Alberta, Edmonton, Alberta, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Hugo J Bellen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
- Program in Development, Disease Models and Therapeutics, Baylor College of Medicine, Houston, TX, USA.
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
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9
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Zhang Y, Leung AK, Kang JJ, Sun Y, Wu G, Li L, Sun J, Cheng L, Qiu T, Zhang J, Wierbowski S, Gupta S, Booth J, Yu H. A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.03.06.531441. [PMID: 36945530 PMCID: PMC10028849 DOI: 10.1101/2023.03.06.531441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
A major goal of cancer biology is to understand the mechanisms underlying tumorigenesis driven by somatically acquired mutations. Two distinct types of computational methodologies have emerged: one focuses on analyzing clustering of mutations within protein sequences and 3D structures, while the other characterizes mutations by leveraging the topology of protein-protein interaction network. Their insights are largely non-overlapping, offering complementary strengths. Here, we established a unified, end-to-end 3D structurally-informed protein interaction network propagation framework, NetFlow3D, that systematically maps the multiscale mechanistic effects of somatic mutations in cancer. The establishment of NetFlow3D hinges upon the Human Protein Structurome, a comprehensive repository we compiled that incorporates the 3D structures of every single protein as well as the binding interfaces of all known protein interactions in humans. NetFlow3D leverages the Structurome to integrate information across atomic, residue, protein and network levels: It conducts 3D clustering of mutations across atomic and residue levels on protein structures to identify potential driver mutations. It then anisotropically propagates their impacts across the protein interaction network, with propagation guided by the specific 3D structural interfaces involved, to identify significantly interconnected network "modules", thereby uncovering key biological processes underlying disease etiology. Applied to 1,038,899 somatic protein-altering mutations in 9,946 TCGA tumors across 33 cancer types, NetFlow3D identified 1,4444 significant 3D clusters throughout the Human Protein Structurome, of which ~55% would not have been found if using only experimentally-determined structures. It then identified 26 significantly interconnected modules that encompass ~8-fold more proteins than applying standard network analyses. NetFlow3D and our pan-cancer results can be accessed from http://netflow3d.yulab.org.
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Affiliation(s)
- Yingying Zhang
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University; Ithaca, 14853, USA
- Department of Molecular Biology and Genetics, Cornell University; Ithaca, 14853, USA
| | - Alden K. Leung
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University; Ithaca, 14853, USA
| | - Jin Joo Kang
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University; Ithaca, 14853, USA
| | - Yu Sun
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University; Ithaca, 14853, USA
| | - Guanxi Wu
- College of Agriculture and Life Sciences, Cornell University; Ithaca, 14853, USA
| | - Le Li
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University; Ithaca, 14853, USA
| | - Jiayang Sun
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
| | - Lily Cheng
- Department of Science and Technology Studies, Cornell University; Ithaca, 14853, USA
| | - Tian Qiu
- School of Electrical and Computer Engineering, Cornell University; Ithaca, 14853, USA
| | - Junke Zhang
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University; Ithaca, 14853, USA
| | - Shayne Wierbowski
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University; Ithaca, 14853, USA
| | - Shagun Gupta
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University; Ithaca, 14853, USA
| | - James Booth
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
- Department of Statistics and Data Science, Cornell University; Ithaca, 14853, USA
| | - Haiyuan Yu
- Department of Computational Biology, Cornell University; Ithaca, 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University; Ithaca, 14853, USA
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10
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Gillespie W, Zhang Y, Ruiz OE, Cerda J, Ortiz-Guzman J, Turner WD, Largoza G, Sherman M, Mosser LE, Fujimoto E, Chien CB, Kwan KM, Arenkiel BR, Devine WP, Wythe JD. Multisite Assembly of Gateway Induced Clones (MAGIC): a flexible cloning toolbox with diverse applications in vertebrate model systems. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.13.603267. [PMID: 39026881 PMCID: PMC11257631 DOI: 10.1101/2024.07.13.603267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Here we present the Multisite Assembly of Gateway Induced Clones (MAGIC) system, which harnesses site-specific recombination-based cloning via Gateway technology for rapid, modular assembly of between 1 and 3 "Entry" vector components, all into a fourth, standard high copy "Destination" plasmid backbone. The MAGIC toolkit spans a range of in vitro and in vivo uses, from directing tunable gene expression, to driving simultaneous expression of microRNAs and fluorescent reporters, to enabling site-specific recombinase-dependent gene expression. All MAGIC system components are directly compatible with existing multisite gateway Tol2 systems currently used in zebrafish, as well as existing eukaryotic cell culture expression Destination plasmids, and available mammalian lentiviral and adenoviral Destination vectors, allowing rapid cross-species experimentation. Moreover, herein we describe novel vectors with flanking piggyBac transposon elements for stable genomic integration in vitro or in vivo when used with piggyBac transposase. Collectively, the MAGIC system facilitates transgenesis in cultured mammalian cells, electroporated mouse and chick embryos, as well as in injected zebrafish embryos, enabling the rapid generation of innovative DNA constructs for biological research due to a shared, common plasmid platform.
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11
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Li JD, Taipale M, Blencowe BJ. Efficient, specific, and combinatorial control of endogenous exon splicing with dCasRx-RBM25. Mol Cell 2024; 84:2573-2589.e5. [PMID: 38917795 DOI: 10.1016/j.molcel.2024.05.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 04/24/2024] [Accepted: 05/30/2024] [Indexed: 06/27/2024]
Abstract
Efficient targeted control of splicing is a major goal of functional genomics and therapeutic applications. Guide (g)RNA-directed, deactivated (d)Cas CRISPR enzymes fused to splicing effectors represent a promising strategy due to the flexibility of these systems. However, efficient, specific, and generalizable activation of endogenous exons using this approach has not been previously reported. By screening over 300 dCasRx-splicing factor fusion proteins tethered to splicing reporters, we identify dCasRx-RBM25 as a potent activator of exons. Moreover, dCasRx-RBM25 efficiently activates the splicing of ∼90% of targeted endogenous alternative exons and displays high on-target specificity. Using gRNA arrays for combinatorial targeting, we demonstrate that dCasRx-RBM25 enables multiplexed activation and repression of exons. Using this feature, the targeting of neural-regulated exons in Ptpb1 and Puf60 in embryonic stem cells reveals combinatorial effects on downstream alternative splicing events controlled by these factors. Collectively, our results enable versatile, combinatorial exon-resolution functional assays and splicing-directed therapeutic applications.
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Affiliation(s)
- Jack Daiyang Li
- Donnelly Centre, University of Toronto, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Mikko Taipale
- Donnelly Centre, University of Toronto, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
| | - Benjamin J Blencowe
- Donnelly Centre, University of Toronto, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
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12
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Vaparanta K, Merilahti JAM, Ojala VK, Elenius K. De Novo Multi-Omics Pathway Analysis Designed for Prior Data Independent Inference of Cell Signaling Pathways. Mol Cell Proteomics 2024; 23:100780. [PMID: 38703893 PMCID: PMC11259815 DOI: 10.1016/j.mcpro.2024.100780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 04/07/2024] [Accepted: 04/30/2024] [Indexed: 05/06/2024] Open
Abstract
New tools for cell signaling pathway inference from multi-omics data that are independent of previous knowledge are needed. Here, we propose a new de novo method, the de novo multi-omics pathway analysis (DMPA), to model and combine omics data into network modules and pathways. DMPA was validated with published omics data and was found accurate in discovering reported molecular associations in transcriptome, interactome, phosphoproteome, methylome, and metabolomics data, and signaling pathways in multi-omics data. DMPA was benchmarked against module discovery and multi-omics integration methods and outperformed previous methods in module and pathway discovery especially when applied to datasets of relatively low sample sizes. Transcription factor, kinase, subcellular location, and function prediction algorithms were devised for transcriptome, phosphoproteome, and interactome modules and pathways, respectively. To apply DMPA in a biologically relevant context, interactome, phosphoproteome, transcriptome, and proteome data were collected from analyses carried out using melanoma cells to address gamma-secretase cleavage-dependent signaling characteristics of the receptor tyrosine kinase TYRO3. The pathways modeled with DMPA reflected the predicted function and its direction in validation experiments.
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Affiliation(s)
- Katri Vaparanta
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; Medicity Research Laboratories, University of Turku, Turku, Finland; Institute of Biomedicine, University of Turku, Turku, Finland.
| | - Johannes A M Merilahti
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; Medicity Research Laboratories, University of Turku, Turku, Finland; Institute of Biomedicine, University of Turku, Turku, Finland
| | - Veera K Ojala
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; Medicity Research Laboratories, University of Turku, Turku, Finland; Institute of Biomedicine, University of Turku, Turku, Finland
| | - Klaus Elenius
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; Medicity Research Laboratories, University of Turku, Turku, Finland; Institute of Biomedicine, University of Turku, Turku, Finland; Department of Oncology, Turku University Hospital, Turku, Finland.
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13
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Subramani PG, Fraszczak J, Helness A, Estall JL, Möröy T, Di Noia JM. Conserved role of hnRNPL in alternative splicing of epigenetic modifiers enables B cell activation. EMBO Rep 2024; 25:2662-2697. [PMID: 38744970 PMCID: PMC11169469 DOI: 10.1038/s44319-024-00152-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 04/15/2024] [Accepted: 04/24/2024] [Indexed: 05/16/2024] Open
Abstract
The multifunctional RNA-binding protein hnRNPL is implicated in antibody class switching but its broader function in B cells is unknown. Here, we show that hnRNPL is essential for B cell activation, germinal center formation, and antibody responses. Upon activation, hnRNPL-deficient B cells show proliferation defects and increased apoptosis. Comparative analysis of RNA-seq data from activated B cells and another eight hnRNPL-depleted cell types reveals common effects on MYC and E2F transcriptional programs required for proliferation. Notably, while individual gene expression changes are cell type specific, several alternative splicing events affecting histone modifiers like KDM6A and SIRT1, are conserved across cell types. Moreover, hnRNPL-deficient B cells show global changes in H3K27me3 and H3K9ac. Epigenetic dysregulation after hnRNPL loss could underlie differential gene expression and upregulation of lncRNAs, and explain common and cell type-specific phenotypes, such as dysfunctional mitochondria and ROS overproduction in mouse B cells. Thus, hnRNPL is essential for the resting-to-activated B cell transition by regulating transcriptional programs and metabolism, at least in part through the alternative splicing of several histone modifiers.
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Affiliation(s)
- Poorani Ganesh Subramani
- Institut de Recherches Cliniques de Montréal, 110 avenue des Pins Ouest, Montréal, QC, H2W 1R7, Canada
- Department of Medicine, Division of Experimental Medicine, McGill University, 1001 Boulevard Decarie, Montreal, QC, H4A 3J1, Canada
| | - Jennifer Fraszczak
- Institut de Recherches Cliniques de Montréal, 110 avenue des Pins Ouest, Montréal, QC, H2W 1R7, Canada
| | - Anne Helness
- Institut de Recherches Cliniques de Montréal, 110 avenue des Pins Ouest, Montréal, QC, H2W 1R7, Canada
| | - Jennifer L Estall
- Institut de Recherches Cliniques de Montréal, 110 avenue des Pins Ouest, Montréal, QC, H2W 1R7, Canada
- Department of Medicine, Division of Experimental Medicine, McGill University, 1001 Boulevard Decarie, Montreal, QC, H4A 3J1, Canada
- Molecular Biology Programs, Université de Montréal, C.P. 6128, succ. Centre-ville, Montréal, QC, H3C 3J7, Canada
- Department of Medicine, Université de Montréal, C.P. 6128, succ. Centre-ville, Montréal, QC, H3C 3J7, Canada
| | - Tarik Möröy
- Institut de Recherches Cliniques de Montréal, 110 avenue des Pins Ouest, Montréal, QC, H2W 1R7, Canada
- Department of Medicine, Division of Experimental Medicine, McGill University, 1001 Boulevard Decarie, Montreal, QC, H4A 3J1, Canada
- Molecular Biology Programs, Université de Montréal, C.P. 6128, succ. Centre-ville, Montréal, QC, H3C 3J7, Canada
- Département de microbiologie, infectiologie et immunologie, Université de Montréal, 2900 Boul Edouard-Montpetit, Montréal, QC, H3T 1J4, Canada
| | - Javier M Di Noia
- Institut de Recherches Cliniques de Montréal, 110 avenue des Pins Ouest, Montréal, QC, H2W 1R7, Canada.
- Department of Medicine, Division of Experimental Medicine, McGill University, 1001 Boulevard Decarie, Montreal, QC, H4A 3J1, Canada.
- Molecular Biology Programs, Université de Montréal, C.P. 6128, succ. Centre-ville, Montréal, QC, H3C 3J7, Canada.
- Department of Medicine, Université de Montréal, C.P. 6128, succ. Centre-ville, Montréal, QC, H3C 3J7, Canada.
- Département de microbiologie, infectiologie et immunologie, Université de Montréal, 2900 Boul Edouard-Montpetit, Montréal, QC, H3T 1J4, Canada.
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14
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Ward NP, Yoon SJ, Flynn T, Sherwood AM, Olley MA, Madej J, DeNicola GM. Mitochondrial respiratory function is preserved under cysteine starvation via glutathione catabolism in NSCLC. Nat Commun 2024; 15:4244. [PMID: 38762605 PMCID: PMC11102494 DOI: 10.1038/s41467-024-48695-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 05/03/2024] [Indexed: 05/20/2024] Open
Abstract
Cysteine metabolism occurs across cellular compartments to support diverse biological functions and prevent the induction of ferroptosis. Though the disruption of cytosolic cysteine metabolism is implicated in this form of cell death, it is unknown whether the substantial cysteine metabolism resident within the mitochondria is similarly pertinent to ferroptosis. Here, we show that despite the rapid depletion of intracellular cysteine upon loss of extracellular cystine, cysteine-dependent synthesis of Fe-S clusters persists in the mitochondria of lung cancer cells. This promotes a retention of respiratory function and a maintenance of the mitochondrial redox state. Under these limiting conditions, we find that glutathione catabolism by CHAC1 supports the mitochondrial cysteine pool to sustain the function of the Fe-S proteins critical to oxidative metabolism. We find that disrupting Fe-S cluster synthesis under cysteine restriction protects against the induction of ferroptosis, suggesting that the preservation of mitochondrial function is antagonistic to survival under starved conditions. Overall, our findings implicate mitochondrial cysteine metabolism in the induction of ferroptosis and reveal a mechanism of mitochondrial resilience in response to nutrient stress.
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Affiliation(s)
- Nathan P Ward
- Department of Metabolism & Physiology, Moffitt Cancer Center, Tampa, FL, USA.
| | - Sang Jun Yoon
- Department of Metabolism & Physiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Tyce Flynn
- Department of Metabolism & Physiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Amanda M Sherwood
- Department of Metabolism & Physiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Maddison A Olley
- Department of Metabolism & Physiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Juliana Madej
- Department of Metabolism & Physiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Gina M DeNicola
- Department of Metabolism & Physiology, Moffitt Cancer Center, Tampa, FL, USA.
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15
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Pha K, Mirrashidi K, Sherry J, Tran CJ, Herrera CM, McMahon E, Elwell CA, Engel JN. The Chlamydia effector IncE employs two short linear motifs to reprogram host vesicle trafficking. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.23.590830. [PMID: 38712241 PMCID: PMC11071397 DOI: 10.1101/2024.04.23.590830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Chlamydia trachomatis, a leading cause of bacteria sexually transmitted infections, creates a specialized intracellular replicative niche by translocation and insertion of a diverse array of effectors (Incs) into the inclusion membrane. Here, we characterize IncE, a multi-functional Inc that encodes two non-overlapping short linear motifs (SLiMs) within its short cytosolic C-terminus. The proximal SLiM mimics an R-SNARE motif to recruit syntaxin (STX) 7 and 12-containing vesicles to the inclusion. The distal SLiM mimics the Sorting Nexin (SNX) 5 and 6 cargo binding site to recruit SNX6-containing vesicles to the inclusion. By simultaneously binding to two distinct vesicle classes, IncE reprograms host cell trafficking to promote the formation of a class of hybrid vesicles at the inclusion that are required for C. trachomatis intracellular development. Our work suggests that Incs may have evolved SLiMs to facilitate rapid evolution in a limited protein space to disrupt host cell processes.
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16
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Ayyappan V, Jenkinson NM, Tressler CM, Tan Z, Cheng M, Shen XE, Guerrero A, Sonkar K, Cai R, Adelaja O, Roy S, Meeker A, Argani P, Glunde K. Context-dependent roles for ubiquitous mitochondrial creatine kinase CKMT1 in breast cancer progression. Cell Rep 2024; 43:114121. [PMID: 38615320 PMCID: PMC11100297 DOI: 10.1016/j.celrep.2024.114121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 02/14/2024] [Accepted: 03/31/2024] [Indexed: 04/16/2024] Open
Abstract
Metabolic reprogramming is a hallmark of cancer, enabling cancer cells to rapidly proliferate, invade, and metastasize. We show that creatine levels in metastatic breast cancer cell lines and secondary metastatic tumors are driven by the ubiquitous mitochondrial creatine kinase (CKMT1). We discover that, while CKMT1 is highly expressed in primary tumors and promotes cell viability, it is downregulated in metastasis. We further show that CKMT1 downregulation, as seen in breast cancer metastasis, drives up mitochondrial reactive oxygen species (ROS) levels. CKMT1 downregulation contributes to the migratory and invasive potential of cells by ROS-induced upregulation of adhesion and degradative factors, which can be reversed by antioxidant treatment. Our study thus reconciles conflicting evidence about the roles of metabolites in the creatine metabolic pathway in breast cancer progression and reveals that tight, context-dependent regulation of CKMT1 expression facilitates cell viability, cell migration, and cell invasion, which are hallmarks of metastatic spread.
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Affiliation(s)
- Vinay Ayyappan
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicole M Jenkinson
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Caitlin M Tressler
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Zheqiong Tan
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Medical Laboratory, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Menglin Cheng
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Xinyi Elaine Shen
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alejandro Guerrero
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kanchan Sonkar
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ruoqing Cai
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Oluwatobi Adelaja
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sujayita Roy
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alan Meeker
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pedram Argani
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kristine Glunde
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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17
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Zhu X, Fu Z, Dutchak K, Arabzadeh A, Milette S, Steinberger J, Morin G, Monast A, Pilon V, Kong T, Adams BN, Prando Munhoz E, Hosein HJB, Fang T, Su J, Xue Y, Rayes R, Sangwan V, Walsh LA, Chen G, Quail DF, Spicer JD, Park M, Dankort D, Huang S. Cotargeting CDK4/6 and BRD4 Promotes Senescence and Ferroptosis Sensitivity in Cancer. Cancer Res 2024; 84:1333-1351. [PMID: 38277141 DOI: 10.1158/0008-5472.can-23-1749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 10/21/2023] [Accepted: 01/17/2024] [Indexed: 01/27/2024]
Abstract
Cyclin-dependent kinase 4/6 (CDK4/6) inhibitors are approved for breast cancer treatment and show activity against other malignancies, including KRAS-mutant non-small cell lung cancer (NSCLC). However, the clinical efficacy of CDK4/6 inhibitors is limited due to frequent drug resistance and their largely cytostatic effects. Through a genome-wide cDNA screen, we identified that bromodomain-containing protein 4 (BRD4) overexpression conferred resistance to the CDK4/6 inhibitor palbociclib in KRAS-mutant NSCLC cells. Inhibition of BRD4, either by RNA interference or small-molecule inhibitors, synergized with palbociclib to induce senescence in NSCLC cells and tumors, and the combination prolonged survival in a KRAS-mutant NSCLC mouse model. Mechanistically, BRD4-inhibition enhanced cell-cycle arrest and reactive oxygen species (ROS) accumulation, both of which are necessary for senescence induction; this in turn elevated GPX4, a peroxidase that suppresses ROS-triggered ferroptosis. Consequently, GPX4 inhibitor treatment selectively induced ferroptotic cell death in the senescent cancer cells, resulting in tumor regression. Cotargeting CDK4/6 and BRD4 also promoted senescence and ferroptosis vulnerability in pancreatic and breast cancer cells. Together, these findings reveal therapeutic vulnerabilities and effective combinations to enhance the clinical utility of CDK4/6 inhibitors. SIGNIFICANCE The combination of cytostatic CDK4/6 and BRD4 inhibitors induces senescent cancer cells that are primed for activation of ferroptotic cell death by targeting GPX4, providing an effective strategy for treating cancer.
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Affiliation(s)
- Xianbing Zhu
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Zheng Fu
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Kendall Dutchak
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Azadeh Arabzadeh
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Simon Milette
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
- Department of Physiology, McGill University, Montreal, Quebec, Canada
| | - Jutta Steinberger
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Geneviève Morin
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Anie Monast
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Virginie Pilon
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Tim Kong
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Bianca N Adams
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Erika Prando Munhoz
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Hannah J B Hosein
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Tianxu Fang
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
- Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Jing Su
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Yibo Xue
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Roni Rayes
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
- Department of Surgery, McGill University Health Center, Montreal, Quebec, Canada
| | - Veena Sangwan
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - Logan A Walsh
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Guojun Chen
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
- Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Daniela F Quail
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
- Department of Physiology, McGill University, Montreal, Quebec, Canada
- Department of Medicine, Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada
| | - Jonathan D Spicer
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
- Department of Surgery, McGill University Health Center, Montreal, Quebec, Canada
| | - Morag Park
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
| | - David Dankort
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Sidong Huang
- Department of Biochemistry, McGill University, Montreal, Quebec, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
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18
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Guo JK, Blanco MR, Walkup WG, Bonesteele G, Urbinati CR, Banerjee AK, Chow A, Ettlin O, Strehle M, Peyda P, Amaya E, Trinh V, Guttman M. Denaturing purifications demonstrate that PRC2 and other widely reported chromatin proteins do not appear to bind directly to RNA in vivo. Mol Cell 2024; 84:1271-1289.e12. [PMID: 38387462 PMCID: PMC10997485 DOI: 10.1016/j.molcel.2024.01.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/01/2023] [Accepted: 01/30/2024] [Indexed: 02/24/2024]
Abstract
Polycomb repressive complex 2 (PRC2) is reported to bind to many RNAs and has become a central player in reports of how long non-coding RNAs (lncRNAs) regulate gene expression. Yet, there is a growing discrepancy between the biochemical evidence supporting specific lncRNA-PRC2 interactions and functional evidence demonstrating that PRC2 is often dispensable for lncRNA function. Here, we revisit the evidence supporting RNA binding by PRC2 and show that many reported interactions may not occur in vivo. Using denaturing purification of in vivo crosslinked RNA-protein complexes in human and mouse cell lines, we observe a loss of detectable RNA binding to PRC2 and chromatin-associated proteins previously reported to bind RNA (CTCF, YY1, and others), despite accurately mapping bona fide RNA-binding sites across others (SPEN, TET2, and others). Taken together, these results argue for a critical re-evaluation of the broad role of RNA binding to orchestrate various chromatin regulatory mechanisms.
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Affiliation(s)
- Jimmy K Guo
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Mario R Blanco
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
| | - Ward G Walkup
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Grant Bonesteele
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Carl R Urbinati
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; Department of Biology, Loyola Marymount University, Los Angeles, CA 90045, USA
| | - Abhik K Banerjee
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Amy Chow
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Olivia Ettlin
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Mackenzie Strehle
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Parham Peyda
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Enrique Amaya
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Vickie Trinh
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Mitchell Guttman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
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19
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Trepte P, Secker C, Olivet J, Blavier J, Kostova S, Maseko SB, Minia I, Silva Ramos E, Cassonnet P, Golusik S, Zenkner M, Beetz S, Liebich MJ, Scharek N, Schütz A, Sperling M, Lisurek M, Wang Y, Spirohn K, Hao T, Calderwood MA, Hill DE, Landthaler M, Choi SG, Twizere JC, Vidal M, Wanker EE. AI-guided pipeline for protein-protein interaction drug discovery identifies a SARS-CoV-2 inhibitor. Mol Syst Biol 2024; 20:428-457. [PMID: 38467836 PMCID: PMC10987651 DOI: 10.1038/s44320-024-00019-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 03/13/2024] Open
Abstract
Protein-protein interactions (PPIs) offer great opportunities to expand the druggable proteome and therapeutically tackle various diseases, but remain challenging targets for drug discovery. Here, we provide a comprehensive pipeline that combines experimental and computational tools to identify and validate PPI targets and perform early-stage drug discovery. We have developed a machine learning approach that prioritizes interactions by analyzing quantitative data from binary PPI assays or AlphaFold-Multimer predictions. Using the quantitative assay LuTHy together with our machine learning algorithm, we identified high-confidence interactions among SARS-CoV-2 proteins for which we predicted three-dimensional structures using AlphaFold-Multimer. We employed VirtualFlow to target the contact interface of the NSP10-NSP16 SARS-CoV-2 methyltransferase complex by ultra-large virtual drug screening. Thereby, we identified a compound that binds to NSP10 and inhibits its interaction with NSP16, while also disrupting the methyltransferase activity of the complex, and SARS-CoV-2 replication. Overall, this pipeline will help to prioritize PPI targets to accelerate the discovery of early-stage drug candidates targeting protein complexes and pathways.
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Affiliation(s)
- Philipp Trepte
- Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany.
- Brain Development and Disease, Institute of Molecular Biotechnology of the Austrian Academy of Sciences, 1030, Vienna, Austria.
| | - Christopher Secker
- Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany.
- Zuse Institute Berlin, Berlin, Germany.
| | - Julien Olivet
- Laboratory of Viral Interactomes, Interdisciplinary Cluster for Applied Genoproteomics (GIGA)-Molecular Biology of Diseases, University of Liège, 4000, Liège, Belgium
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Structural Biology Unit, Laboratory of Virology and Chemotherapy, Rega Institute for Medical Research, Department of Microbiology, Immunology and Transplantation, Katholieke Universiteit Leuven, 3000, Leuven, Belgium
| | - Jeremy Blavier
- Laboratory of Viral Interactomes, Interdisciplinary Cluster for Applied Genoproteomics (GIGA)-Molecular Biology of Diseases, University of Liège, 4000, Liège, Belgium
| | - Simona Kostova
- Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Sibusiso B Maseko
- Laboratory of Viral Interactomes, Interdisciplinary Cluster for Applied Genoproteomics (GIGA)-Molecular Biology of Diseases, University of Liège, 4000, Liège, Belgium
| | - Igor Minia
- RNA Biology and Posttranscriptional Regulation, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin Institute for Medical Systems Biology, 13125, Berlin, Germany
| | - Eduardo Silva Ramos
- Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Patricia Cassonnet
- Département de Virologie, Unité de Génétique Moléculaire des Virus à ARN (GMVR), Institut Pasteur, Centre National de la Recherche Scientifique (CNRS), Université de Paris, Paris, France
| | - Sabrina Golusik
- Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Martina Zenkner
- Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Stephanie Beetz
- Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Mara J Liebich
- Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Nadine Scharek
- Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Anja Schütz
- Protein Production & Characterization, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Marcel Sperling
- Multifunctional Colloids and Coating, Fraunhofer Institute for Applied Polymer Research (IAP), 14476, Potsdam-Golm, Germany
| | - Michael Lisurek
- Structural Chemistry and Computational Biophysics, Leibniz-Institut für Molekulare Pharmakologie (FMP), 13125, Berlin, Germany
| | - Yang Wang
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Kerstin Spirohn
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Tong Hao
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Michael A Calderwood
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - David E Hill
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Markus Landthaler
- RNA Biology and Posttranscriptional Regulation, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin Institute for Medical Systems Biology, 13125, Berlin, Germany
- Institute of Biology, Humboldt-Universität zu Berlin, 13125, Berlin, Germany
| | - Soon Gang Choi
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA.
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
| | - Jean-Claude Twizere
- Laboratory of Viral Interactomes, Interdisciplinary Cluster for Applied Genoproteomics (GIGA)-Molecular Biology of Diseases, University of Liège, 4000, Liège, Belgium.
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030, Gembloux, Belgium.
- Laboratory of Algal Synthetic and Systems Biology, Division of Science and Math, New York University Abu Dhabi, Abu Dhabi, UAE.
| | - Marc Vidal
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA.
| | - Erich E Wanker
- Proteomics and Molecular Mechanisms of Neurodegenerative Diseases, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany.
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20
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In 't Groen SLM, Franken M, Bock T, Krüger M, de Greef JC, Pijnappel WWMP. A knock down strategy for rapid, generic, and versatile modelling of muscular dystrophies in 3D-tissue-engineered-skeletal muscle. Skelet Muscle 2024; 14:3. [PMID: 38389096 PMCID: PMC10882755 DOI: 10.1186/s13395-024-00335-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 01/22/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Human iPSC-derived 3D-tissue-engineered-skeletal muscles (3D-TESMs) offer advanced technology for disease modelling. However, due to the inherent genetic heterogeneity among human individuals, it is often difficult to distinguish disease-related readouts from random variability. The generation of genetically matched isogenic controls using gene editing can reduce variability, but the generation of isogenic hiPSC-derived 3D-TESMs can take up to 6 months, thereby reducing throughput. METHODS Here, by combining 3D-TESM and shRNA technologies, we developed a disease modelling strategy to induce distinct genetic deficiencies in a single hiPSC-derived myogenic progenitor cell line within 1 week. RESULTS As proof of principle, we recapitulated disease-associated pathology of Duchenne muscular dystrophy and limb-girdle muscular dystrophy type 2A caused by loss of function of DMD and CAPN3, respectively. shRNA-mediated knock down of DMD or CAPN3 induced a loss of contractile function, disruption of tissue architecture, and disease-specific proteomes. Pathology in DMD-deficient 3D-TESMs was partially rescued by a candidate gene therapy treatment using micro-dystrophin, with similar efficacy compared to animal models. CONCLUSIONS These results show that isogenic shRNA-based humanized 3D-TESM models provide a fast, cheap, and efficient tool to model muscular dystrophies and are useful for the preclinical evaluation of novel therapies.
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Affiliation(s)
- Stijn L M In 't Groen
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, 3015 GE, The Netherlands
- Department of Pediatrics, Erasmus University Medical Center, Rotterdam, 3015 GE, The Netherlands
- Center for Lysosomal and Metabolic Diseases, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Marnix Franken
- Department of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZA, Netherlands
| | - Theresa Bock
- Institute of Genetics and Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Center for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Marcus Krüger
- Institute of Genetics and Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Center for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Jessica C de Greef
- Department of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZA, Netherlands
| | - W W M Pim Pijnappel
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, 3015 GE, The Netherlands.
- Department of Pediatrics, Erasmus University Medical Center, Rotterdam, 3015 GE, The Netherlands.
- Center for Lysosomal and Metabolic Diseases, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands.
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21
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Jacobo Jacobo M, Donnella HJ, Sobti S, Kaushik S, Goga A, Bandyopadhyay S. An inflamed tumor cell subpopulation promotes chemotherapy resistance in triple negative breast cancer. Sci Rep 2024; 14:3694. [PMID: 38355954 PMCID: PMC10866903 DOI: 10.1038/s41598-024-53999-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 02/07/2024] [Indexed: 02/16/2024] Open
Abstract
Individual cancers are composed of heterogeneous tumor cells with distinct phenotypes and genotypes, with triple negative breast cancers (TNBC) demonstrating the most heterogeneity among breast cancer types. Variability in transcriptional phenotypes could meaningfully limit the efficacy of monotherapies and fuel drug resistance, although to an unknown extent. To determine if transcriptional differences between tumor cells lead to differential drug responses we performed single cell RNA-seq on cell line and PDX models of breast cancer revealing cell subpopulations in states associated with resistance to standard-of-care therapies. We found that TNBC models contained a subpopulation in an inflamed cellular state, often also present in human breast cancer samples. Inflamed cells display evidence of heightened cGAS/STING signaling which we demonstrate is sufficient to cause tumor cell resistance to chemotherapy. Accordingly, inflamed cells were enriched in human tumors taken after neoadjuvant chemotherapy and associated with early recurrence, highlighting the potential for diverse tumor cell states to promote drug resistance.
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Affiliation(s)
- Mauricio Jacobo Jacobo
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Hayley J Donnella
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Sushil Sobti
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Swati Kaushik
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Andrei Goga
- Department of Cell & Tissue Biology, University of California San Francisco, San Francisco, CA, 94143, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Sourav Bandyopadhyay
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, 94143, USA.
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22
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Schnitzler GR, Kang H, Fang S, Angom RS, Lee-Kim VS, Ma XR, Zhou R, Zeng T, Guo K, Taylor MS, Vellarikkal SK, Barry AE, Sias-Garcia O, Bloemendal A, Munson G, Guckelberger P, Nguyen TH, Bergman DT, Hinshaw S, Cheng N, Cleary B, Aragam K, Lander ES, Finucane HK, Mukhopadhyay D, Gupta RM, Engreitz JM. Convergence of coronary artery disease genes onto endothelial cell programs. Nature 2024; 626:799-807. [PMID: 38326615 PMCID: PMC10921916 DOI: 10.1038/s41586-024-07022-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/03/2024] [Indexed: 02/09/2024]
Abstract
Linking variants from genome-wide association studies (GWAS) to underlying mechanisms of disease remains a challenge1-3. For some diseases, a successful strategy has been to look for cases in which multiple GWAS loci contain genes that act in the same biological pathway1-6. However, our knowledge of which genes act in which pathways is incomplete, particularly for cell-type-specific pathways or understudied genes. Here we introduce a method to connect GWAS variants to functions. This method links variants to genes using epigenomics data, links genes to pathways de novo using Perturb-seq and integrates these data to identify convergence of GWAS loci onto pathways. We apply this approach to study the role of endothelial cells in genetic risk for coronary artery disease (CAD), and discover 43 CAD GWAS signals that converge on the cerebral cavernous malformation (CCM) signalling pathway. Two regulators of this pathway, CCM2 and TLNRD1, are each linked to a CAD risk variant, regulate other CAD risk genes and affect atheroprotective processes in endothelial cells. These results suggest a model whereby CAD risk is driven in part by the convergence of causal genes onto a particular transcriptional pathway in endothelial cells. They highlight shared genes between common and rare vascular diseases (CAD and CCM), and identify TLNRD1 as a new, previously uncharacterized member of the CCM signalling pathway. This approach will be widely useful for linking variants to functions for other common polygenic diseases.
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Affiliation(s)
- Gavin R Schnitzler
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute, Cambridge, MA, USA
- Divisions of Genetics and Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Helen Kang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Basic Science and Engineering Initiative, Stanford Children's Health, Betty Irene Moore Children's Heart Center, Stanford, CA, USA
| | - Shi Fang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Divisions of Genetics and Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ramcharan S Angom
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, Jacksonville, FL, USA
| | - Vivian S Lee-Kim
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Divisions of Genetics and Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - X Rosa Ma
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Basic Science and Engineering Initiative, Stanford Children's Health, Betty Irene Moore Children's Heart Center, Stanford, CA, USA
| | - Ronghao Zhou
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Basic Science and Engineering Initiative, Stanford Children's Health, Betty Irene Moore Children's Heart Center, Stanford, CA, USA
| | - Tony Zeng
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Basic Science and Engineering Initiative, Stanford Children's Health, Betty Irene Moore Children's Heart Center, Stanford, CA, USA
| | - Katherine Guo
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Basic Science and Engineering Initiative, Stanford Children's Health, Betty Irene Moore Children's Heart Center, Stanford, CA, USA
| | - Martin S Taylor
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Shamsudheen K Vellarikkal
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Divisions of Genetics and Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Aurelie E Barry
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Divisions of Genetics and Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Oscar Sias-Garcia
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Divisions of Genetics and Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Alex Bloemendal
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute, Cambridge, MA, USA
| | - Glen Munson
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Tung H Nguyen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Drew T Bergman
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Stephen Hinshaw
- Department of Chemical and Systems Biology, ChEM-H, and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Nathan Cheng
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Brian Cleary
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Faculty of Computing and Data Sciences, Departments of Biology and Biomedical Engineering, Biological Design Center, and Program in Bioinformatics, Boston University, Boston, MA, USA
| | - Krishna Aragam
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biology, MIT, Cambridge, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Hilary K Finucane
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Debabrata Mukhopadhyay
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, Jacksonville, FL, USA
| | - Rajat M Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute, Cambridge, MA, USA.
- Divisions of Genetics and Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Jesse M Engreitz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute, Cambridge, MA, USA.
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
- Basic Science and Engineering Initiative, Stanford Children's Health, Betty Irene Moore Children's Heart Center, Stanford, CA, USA.
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.
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23
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DelRosso N, Bintu L. Using High-Throughput Measurements to Identify Principles of Transcriptional and Epigenetic Regulators. Methods Mol Biol 2024; 2842:79-101. [PMID: 39012591 DOI: 10.1007/978-1-0716-4051-7_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
To achieve exquisite control over the epigenome, we need a better predictive understanding of how transcription factors, chromatin regulators, and their individual domain's function, both as modular parts and as full proteins. Transcriptional effector domains are one class of protein domains that regulate transcription and chromatin. These effector domains either repress or activate gene expression by interacting with chromatin-modifying enzymes, transcriptional cofactors, and/or general transcriptional machinery. Here, we discuss important design considerations for high-throughput investigations of effector domains, recent advances in discovering new domains in human cells and testing how domain function depends on amino acid sequence. For every effector domain, we would like to know the following: What role does the cell type, signaling state, and targeted context have on activation, silencing, and epigenetic memory? Large-scale measurements of transcriptional activities can help systematically answer these questions and identify general rules for how all these parameters affect effector domain activities. Last, we discuss what steps need to be taken to turn a newly discovered effector domain into a robust, precise epigenome editor. With more carefully considered high-throughput investigations, soon we will have better predictive control over the epigenome.
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24
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Collard R, Majtan T. Genetic and Pharmacological Modulation of Cellular Proteostasis Leads to Partial Functional Rescue of Homocystinuria-Causing Cystathionine-Beta Synthase Variants. Mol Cell Biol 2023; 43:664-674. [PMID: 38051092 PMCID: PMC10761163 DOI: 10.1080/10985549.2023.2284147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/28/2023] [Accepted: 11/09/2023] [Indexed: 12/07/2023] Open
Abstract
Homocystinuria (HCU), an inherited metabolic disorder caused by lack of cystathionine beta-synthase (CBS) activity, is chiefly caused by misfolding of single amino acid residue missense pathogenic variants. Previous studies showed that chemical, pharmacological chaperones or proteasome inhibitors could rescue function of multiple pathogenic CBS variants; however, the underlying mechanisms remain poorly understood. Using Chinese hamster DON fibroblasts devoid of CBS and stably overexpressing human WT or mutant CBS, we showed that expression of pathogenic CBS variant mostly dysregulates gene expression of small heat shock proteins HSPB3 and HSPB8 and members of HSP40 family. Endoplasmic reticulum stress sensor BiP was found upregulated with CBS I278T variant associated with proteasomes suggesting proteotoxic stress and degradation of misfolded CBS. Co-expression of the main effector HSP70 or master regulator HSF1 rescued steady-state levels of CBS I278T and R125Q variants with partial functional rescue of the latter. Pharmacological proteostasis modulators partially rescued expression and activity of CBS R125Q likely due to reduced proteotoxic stress as indicated by decreased BiP levels and promotion of refolding as indicated by induction of HSP70. In conclusion, targeted manipulation of cellular proteostasis may represent a viable therapeutic approach for the permissive pathogenic CBS variants causing HCU.
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Affiliation(s)
- Renata Collard
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Tomas Majtan
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Pharmacology, University of Fribourg, Faculty of Science and Medicine, Fribourg, Switzerland
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25
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Prekovic S, Chalkiadakis T, Roest M, Roden D, Lutz C, Schuurman K, Opdam M, Hoekman L, Abbott N, Tesselaar T, Wajahat M, Dwyer AR, Mayayo‐Peralta I, Gomez G, Altelaar M, Beijersbergen R, Győrffy B, Young L, Linn S, Jonkers J, Tilley W, Hickey T, Vareslija D, Swarbrick A, Zwart W. Luminal breast cancer identity is determined by loss of glucocorticoid receptor activity. EMBO Mol Med 2023; 15:e17737. [PMID: 37902007 PMCID: PMC10701603 DOI: 10.15252/emmm.202317737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 09/27/2023] [Accepted: 10/04/2023] [Indexed: 10/31/2023] Open
Abstract
Glucocorticoid receptor (GR) is a transcription factor that plays a crucial role in cancer biology. In this study, we utilized an in silico-designed GR activity signature to demonstrate that GR relates to the proliferative capacity of numerous primary cancer types. In breast cancer, the GR activity status determines luminal subtype identity and has implications for patient outcomes. We reveal that GR engages with estrogen receptor (ER), leading to redistribution of ER on the chromatin. Notably, GR activation leads to upregulation of the ZBTB16 gene, encoding for a transcriptional repressor, which controls growth in ER-positive breast cancer and associates with prognosis in luminal A patients. In relation to ZBTB16's repressive nature, GR activation leads to epigenetic remodeling and loss of histone acetylation at sites proximal to cancer-driving genes. Based on these findings, epigenetic inhibitors reduce viability of ER-positive breast cancer cells that display absence of GR activity. Our findings provide insights into how GR controls ER-positive breast cancer growth and may have implications for patients' prognostication and provide novel therapeutic candidates for breast cancer treatment.
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Affiliation(s)
- Stefan Prekovic
- Division of Oncogenomics, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
- Center for Molecular MedicineUMC UtrechtUtrechtThe Netherlands
| | | | - Merel Roest
- Division of Oncogenomics, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Daniel Roden
- Cancer Ecosystems ProgramGarvan Institute of Medical ResearchDarlinghurstNSWAustralia
- School of Clinical Medicine, Faculty of Medicine and HealthUNSW SydneySydneyNSWAustralia
| | - Catrin Lutz
- Division of Molecular Pathology, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Karianne Schuurman
- Division of Oncogenomics, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Mark Opdam
- Division of Molecular Pathology, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Liesbeth Hoekman
- Mass Spectrometry/Proteomics FacilityThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Nina Abbott
- Division of Oncogenomics, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Tanja Tesselaar
- Division of Oncogenomics, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Maliha Wajahat
- Dame Roma Mitchell Cancer Research Laboratories, Adelaide Medical SchoolUniversity of AdelaideAdelaideSAAustralia
| | - Amy R Dwyer
- Dame Roma Mitchell Cancer Research Laboratories, Adelaide Medical SchoolUniversity of AdelaideAdelaideSAAustralia
| | - Isabel Mayayo‐Peralta
- Division of Oncogenomics, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Gabriela Gomez
- School of Pharmacy and Biomolecular SciencesThe Royal College of Surgeons University of Medicine and Health SciencesDublinIreland
| | - Maarten Altelaar
- Mass Spectrometry/Proteomics FacilityThe Netherlands Cancer InstituteAmsterdamThe Netherlands
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical SciencesUtrecht UniversityUtrechtThe Netherlands
| | - Roderick Beijersbergen
- Division of Molecular Carcinogenesis and Robotics and Screening CentreNetherlands Cancer InstituteAmsterdamThe Netherlands
| | - Balázs Győrffy
- TTK Cancer Biomarker Research GroupInstitute of EnzymologyBudapestHungary
- Department of Bioinformatics and 2nd Department of PediatricsSemmelweis UniversityBudapestHungary
| | - Leonie Young
- Endocrine Oncology Research Group, Department of SurgeryThe Royal College of Surgeons University of Medicine and Health SciencesDublinIreland
- Beaumont RCSI Cancer CentreBeaumont HospitalDublinIreland
| | - Sabine Linn
- Division of Molecular Pathology, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Jos Jonkers
- Division of Molecular Pathology, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Wayne Tilley
- Dame Roma Mitchell Cancer Research Laboratories, Adelaide Medical SchoolUniversity of AdelaideAdelaideSAAustralia
- Freemasons Centre for Male Health and WellbeingUniversity of AdelaideAdelaideSAAustralia
| | - Theresa Hickey
- Dame Roma Mitchell Cancer Research Laboratories, Adelaide Medical SchoolUniversity of AdelaideAdelaideSAAustralia
| | - Damir Vareslija
- School of Pharmacy and Biomolecular SciencesThe Royal College of Surgeons University of Medicine and Health SciencesDublinIreland
- Beaumont RCSI Cancer CentreBeaumont HospitalDublinIreland
| | - Alexander Swarbrick
- Cancer Ecosystems ProgramGarvan Institute of Medical ResearchDarlinghurstNSWAustralia
- School of Clinical Medicine, Faculty of Medicine and HealthUNSW SydneySydneyNSWAustralia
| | - Wilbert Zwart
- Division of Oncogenomics, Oncode InstituteThe Netherlands Cancer InstituteAmsterdamThe Netherlands
- Laboratory of Chemical Biology and Institute for Complex Molecular Systems, Department of Biomedical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands
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26
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Lear TB, Boudreau ÁN, Lockwood KC, Chu E, Camarco DP, Cao Q, Nguyen M, Evankovich JW, Finkel T, Liu Y, Chen BB. E3 ubiquitin ligase ZBTB25 suppresses beta coronavirus infection through ubiquitination of the main viral protease MPro. J Biol Chem 2023; 299:105388. [PMID: 37890782 PMCID: PMC10679490 DOI: 10.1016/j.jbc.2023.105388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 10/09/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
The main protease of severe acute respiratory syndrome coronavirus 2, Mpro, is a key viral protein essential for viral infection and replication. Mpro has been the target of many pharmacological efforts; however, the host-specific regulation of Mpro protein remains unclear. Here, we report the ubiquitin-proteasome-dependent degradation of Mpro protein in human cells, facilitated by the human E3 ubiquitin ligase ZBTB25. We demonstrate that Mpro has a short half-life that is prolonged via proteasomal inhibition, with its Lys-100 residue serving as a potential ubiquitin acceptor. Using in vitro binding assays, we observed ZBTB25 and Mpro bind to each other in vitro, and using progressive deletional mapping, we further uncovered the required domains for this interaction. Finally, we used an orthologous beta-coronavirus infection model and observed that genetic ablation of ZBTB25 resulted in a more highly infective virus, an effect lost upon reconstitution of ZBTB25 to deleted cells. In conclusion, these data suggest a new mechanism of Mpro protein regulation as well as identify ZBTB25 as an anticoronaviral E3 ubiquitin ligase.
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Affiliation(s)
- Travis B Lear
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA; Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Áine N Boudreau
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA
| | - Karina C Lockwood
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA
| | - Elise Chu
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA
| | - Daniel P Camarco
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA
| | - Qing Cao
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA; Department of Environmental and Occupational Health, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Matthew Nguyen
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA
| | - John W Evankovich
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA; Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Toren Finkel
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA; Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Yuan Liu
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA; Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Bill B Chen
- Aging Institute, University of Pittsburgh/UPMC, Pittsburgh, Pennsylvania, USA; Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
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27
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Du Y, Bradshaw WJ, Leisner TM, Annor-Gyamfi JK, Qian K, Bashore FM, Sikdar A, Nwogbo FO, Ivanov AA, Frye SV, Gileadi O, Brennan PE, Levey AI, Axtman AD, Pearce KH, Fu H, Katis VL. Discovery of FERM domain protein-protein interaction inhibitors for MSN and CD44 as a potential therapeutic approach for Alzheimer's disease. J Biol Chem 2023; 299:105382. [PMID: 37866628 PMCID: PMC10692723 DOI: 10.1016/j.jbc.2023.105382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/11/2023] [Accepted: 09/27/2023] [Indexed: 10/24/2023] Open
Abstract
Proteomic studies have identified moesin (MSN), a protein containing a four-point-one, ezrin, radixin, moesin (FERM) domain, and the receptor CD44 as hub proteins found within a coexpression module strongly linked to Alzheimer's disease (AD) traits and microglia. These proteins are more abundant in Alzheimer's patient brains, and their levels are positively correlated with cognitive decline, amyloid plaque deposition, and neurofibrillary tangle burden. The MSN FERM domain interacts with the phospholipid phosphatidylinositol 4,5-bisphosphate (PIP2) and the cytoplasmic tail of CD44. Inhibiting the MSN-CD44 interaction may help limit AD-associated neuronal damage. Here, we investigated the feasibility of developing inhibitors that target this protein-protein interaction. We have employed structural, mutational, and phage-display studies to examine how CD44 binds to the FERM domain of MSN. Interestingly, we have identified an allosteric site located close to the PIP2 binding pocket that influences CD44 binding. These findings suggest a mechanism in which PIP2 binding to the FERM domain stimulates CD44 binding through an allosteric effect, leading to the formation of a neighboring pocket capable of accommodating a receptor tail. Furthermore, high-throughput screening of a chemical library identified two compounds that disrupt the MSN-CD44 interaction. One compound series was further optimized for biochemical activity, specificity, and solubility. Our results suggest that the FERM domain holds potential as a drug development target. Small molecule preliminary leads generated from this study could serve as a foundation for additional medicinal chemistry efforts with the goal of controlling microglial activity in AD by modifying the MSN-CD44 interaction.
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Affiliation(s)
- Yuhong Du
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, Georgia, USA; Emory Chemical Biology Discovery Center, Emory University School of Medicine, Atlanta, Georgia, USA
| | - William J Bradshaw
- Alzheimer's Research UK Oxford Drug Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine Research Building, University of Oxford, Oxford, UK
| | - Tina M Leisner
- Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, Center for Integrative Chemical Biology and Drug Discovery, Chapel Hill, North Carolina, USA
| | - Joel K Annor-Gyamfi
- Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, Structural Genomics Consortium, Chapel Hill, North Carolina, USA
| | - Kun Qian
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, Georgia, USA; Emory Chemical Biology Discovery Center, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Frances M Bashore
- Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, Structural Genomics Consortium, Chapel Hill, North Carolina, USA
| | - Arunima Sikdar
- Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, Center for Integrative Chemical Biology and Drug Discovery, Chapel Hill, North Carolina, USA
| | - Felix O Nwogbo
- Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, Center for Integrative Chemical Biology and Drug Discovery, Chapel Hill, North Carolina, USA
| | - Andrey A Ivanov
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, Georgia, USA; Emory Chemical Biology Discovery Center, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Stephen V Frye
- Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, Center for Integrative Chemical Biology and Drug Discovery, Chapel Hill, North Carolina, USA
| | - Opher Gileadi
- Alzheimer's Research UK Oxford Drug Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine Research Building, University of Oxford, Oxford, UK
| | - Paul E Brennan
- Alzheimer's Research UK Oxford Drug Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine Research Building, University of Oxford, Oxford, UK
| | - Allan I Levey
- Department of Neurology, Emory Goizueta Alzheimer's Disease Research Center, Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Alison D Axtman
- Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, Structural Genomics Consortium, Chapel Hill, North Carolina, USA.
| | - Kenneth H Pearce
- Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, Center for Integrative Chemical Biology and Drug Discovery, Chapel Hill, North Carolina, USA.
| | - Haian Fu
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, Georgia, USA; Emory Chemical Biology Discovery Center, Emory University School of Medicine, Atlanta, Georgia, USA.
| | - Vittorio L Katis
- Alzheimer's Research UK Oxford Drug Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine Research Building, University of Oxford, Oxford, UK.
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28
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Salahudeen AA, Seoane JA, Yuki K, Mah AT, Smith AR, Kolahi K, De la O SM, Hart DJ, Ding J, Ma Z, Barkal SA, Shukla ND, Zhang CH, Cantrell MA, Batish A, Usui T, Root DE, Hahn WC, Curtis C, Kuo CJ. Functional screening of amplification outlier oncogenes in organoid models of early tumorigenesis. Cell Rep 2023; 42:113355. [PMID: 37922313 PMCID: PMC10841581 DOI: 10.1016/j.celrep.2023.113355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 08/30/2023] [Accepted: 10/12/2023] [Indexed: 11/05/2023] Open
Abstract
Somatic copy number gains are pervasive across cancer types, yet their roles in oncogenesis are insufficiently evaluated. This inadequacy is partly due to copy gains spanning large chromosomal regions, obscuring causal loci. Here, we employed organoid modeling to evaluate candidate oncogenic loci identified via integrative computational analysis of extreme copy gains overlapping with extreme expression dysregulation in The Cancer Genome Atlas. Subsets of "outlier" candidates were contextually screened as tissue-specific cDNA lentiviral libraries within cognate esophagus, oral cavity, colon, stomach, pancreas, and lung organoids bearing initial oncogenic mutations. Iterative analysis nominated the kinase DYRK2 at 12q15 as an amplified head and neck squamous carcinoma oncogene in p53-/- oral mucosal organoids. Similarly, FGF3, amplified at 11q13 in 41% of esophageal squamous carcinomas, promoted p53-/- esophageal organoid growth reversible by small molecule and soluble receptor antagonism of FGFRs. Our studies establish organoid-based contextual screening of candidate genomic drivers, enabling functional evaluation during early tumorigenesis.
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Affiliation(s)
- Ameen A Salahudeen
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA; University of Illinois at Chicago College of Medicine, Department of Medicine, Division of Hematology and Oncology, Chicago, IL 60612, USA; Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago College of Medicine, Chicago, IL 60612, USA; University of Illinois Cancer Center, Chicago, IL 60612, USA.
| | - Jose A Seoane
- Stanford University School of Medicine, Department of Medicine, Divisions of Oncology, Stanford, CA 94305, USA; Cancer Computational Biology Group, Vall d'Hebron Institute of Oncology (VHIO), 08035 Barcelona, Spain.
| | - Kanako Yuki
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Amanda T Mah
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Amber R Smith
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Kevin Kolahi
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Sean M De la O
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Daniel J Hart
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Jie Ding
- Stanford University School of Medicine, Department of Medicine, Divisions of Oncology, Stanford, CA 94305, USA
| | - Zhicheng Ma
- Stanford University School of Medicine, Department of Medicine, Divisions of Oncology, Stanford, CA 94305, USA
| | - Sammy A Barkal
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Navika D Shukla
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Chuck H Zhang
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Michael A Cantrell
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Arpit Batish
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - Tatsuya Usui
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA
| | - David E Root
- Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - William C Hahn
- Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA; Dana-Farber Cancer Institute, Department of Medical Oncology, 450 Brookline Avenue, Boston, MA 02215, USA
| | - Christina Curtis
- Stanford University School of Medicine, Department of Medicine, Divisions of Oncology, Stanford, CA 94305, USA; Stanford University School of Medicine, Department of Medicine, Divisions of Genetics, Stanford, CA 94305, USA
| | - Calvin J Kuo
- Stanford University School of Medicine, Department of Medicine, Divisions of Hematology, Stanford, CA 94305, USA.
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29
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Pulice JL, Meyerson M. Dosage amplification dictates oncogenic regulation by the NKX2-1 lineage factor in lung adenocarcinoma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.26.563996. [PMID: 37994369 PMCID: PMC10664179 DOI: 10.1101/2023.10.26.563996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
Amplified oncogene expression is a critical and widespread driver event in cancer, yet our understanding of how amplification-mediated elevated dosage mediates oncogenic regulation is limited. Here, we find that the most significant focal amplification event in lung adenocarcinoma (LUAD) targets a lineage super-enhancer near the NKX2-1 lineage transcription factor. The NKX2-1 super-enhancer is targeted by focal and co-amplification with NKX2-1, and activation or repression controls NKX2-1 expression. We find that NKX2-1 is a widespread dependency in LUAD cell lines, where NKX2-1 pioneers enhancer accessibility to drive a lineage addicted state in LUAD, and NKX2-1 confers persistence to EGFR inhibitors. Notably, we find that oncogenic NKX2-1 regulation requires expression above a minimum dosage threshold-NKX2-1 dosage below this threshold is insufficient for cell viability, enhancer remodeling, and TKI persistence. Our data suggest that copy-number amplification can be a gain-of-function alteration, wherein amplification elevates oncogene expression above a critical dosage required for oncogenic regulation and cancer cell survival.
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Affiliation(s)
- John L. Pulice
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Biological and Biomedical Sciences Program, Harvard University, Cambridge, MA, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Matthew Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Lead contact
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30
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Berenson A, Lane R, Soto-Ugaldi LF, Patel M, Ciausu C, Li Z, Chen Y, Shah S, Santoso C, Liu X, Spirohn K, Hao T, Hill DE, Vidal M, Fuxman Bass JI. Paired yeast one-hybrid assays to detect DNA-binding cooperativity and antagonism across transcription factors. Nat Commun 2023; 14:6570. [PMID: 37853017 PMCID: PMC10584920 DOI: 10.1038/s41467-023-42445-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 10/11/2023] [Indexed: 10/20/2023] Open
Abstract
Cooperativity and antagonism between transcription factors (TFs) can drastically modify their binding to regulatory DNA elements. While mapping these relationships between TFs is important for understanding their context-specific functions, existing approaches either rely on DNA binding motif predictions, interrogate one TF at a time, or study individual TFs in parallel. Here, we introduce paired yeast one-hybrid (pY1H) assays to detect cooperativity and antagonism across hundreds of TF-pairs at DNA regions of interest. We provide evidence that a wide variety of TFs are subject to modulation by other TFs in a DNA region-specific manner. We also demonstrate that TF-TF relationships are often affected by alternative isoform usage and identify cooperativity and antagonism between human TFs and viral proteins from human papillomaviruses, Epstein-Barr virus, and other viruses. Altogether, pY1H assays provide a broadly applicable framework to study how different functional relationships affect protein occupancy at regulatory DNA regions.
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Affiliation(s)
- Anna Berenson
- Department of Biology, Boston University, Boston, MA, 02215, USA
| | - Ryan Lane
- Department of Biology, Boston University, Boston, MA, 02215, USA
| | - Luis F Soto-Ugaldi
- Tri-Institutional Program in Computational Biology and Medicine, New York, NY, USA
| | - Mahir Patel
- Department of Computer Science, Boston University, Boston, MA, 02215, USA
| | - Cosmin Ciausu
- Department of Computer Science, Boston University, Boston, MA, 02215, USA
| | - Zhaorong Li
- Department of Biology, Boston University, Boston, MA, 02215, USA
| | - Yilin Chen
- Department of Biology, Boston University, Boston, MA, 02215, USA
| | - Sakshi Shah
- Department of Biology, Boston University, Boston, MA, 02215, USA
| | - Clarissa Santoso
- Department of Biology, Boston University, Boston, MA, 02215, USA
| | - Xing Liu
- Department of Biology, Boston University, Boston, MA, 02215, USA
| | - Kerstin Spirohn
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
| | - Tong Hao
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
| | - David E Hill
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
| | - Marc Vidal
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
| | - Juan I Fuxman Bass
- Department of Biology, Boston University, Boston, MA, 02215, USA.
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
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31
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Bradley D, Hogrebe A, Dandage R, Dubé AK, Leutert M, Dionne U, Chang A, Villén J, Landry CR. The fitness cost of spurious phosphorylation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.08.561337. [PMID: 37873463 PMCID: PMC10592693 DOI: 10.1101/2023.10.08.561337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
The fidelity of signal transduction requires the binding of regulatory molecules to their cognate targets. However, the crowded cell interior risks off-target interactions between proteins that are functionally unrelated. How such off-target interactions impact fitness is not generally known, but quantifying this is required to understand the constraints faced by cell systems as they evolve. Here, we use the model organism S. cerevisiae to inducibly express tyrosine kinases. Because yeast lacks bona fide tyrosine kinases, most of the resulting tyrosine phosphorylation is spurious. This provides a suitable system to measure the impact of artificial protein interactions on fitness. We engineered 44 yeast strains each expressing a tyrosine kinase, and quantitatively analysed their phosphoproteomes. This analysis resulted in ~30,000 phosphosites mapping to ~3,500 proteins. Examination of the fitness costs in each strain revealed a strong correlation between the number of spurious pY sites and decreased growth. Moreover, the analysis of pY effects on protein structure and on protein function revealed over 1000 pY events that we predict to be deleterious. However, we also find that a large number of the spurious pY sites have a negligible effect on fitness, possibly because of their low stoichiometry. This result is consistent with our evolutionary analyses demonstrating a lack of phosphotyrosine counter-selection in species with bona fide tyrosine kinases. Taken together, our results suggest that, alongside the risk for toxicity, the cell can tolerate a large degree of non-functional crosstalk as interaction networks evolve.
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Affiliation(s)
- David Bradley
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, QC, Canada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université du Québec à Montréal, Montréal, QC, Canada
- Université Laval Big Data Research Center (BDRC_UL), Québec, QC, Canada
- Department of Biology, Université Laval, Québec, QC, Canada
| | - Alexander Hogrebe
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Rohan Dandage
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, QC, Canada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université du Québec à Montréal, Montréal, QC, Canada
- Université Laval Big Data Research Center (BDRC_UL), Québec, QC, Canada
- Department of Biology, Université Laval, Québec, QC, Canada
| | - Alexandre K Dubé
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, QC, Canada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université du Québec à Montréal, Montréal, QC, Canada
- Université Laval Big Data Research Center (BDRC_UL), Québec, QC, Canada
- Department of Biology, Université Laval, Québec, QC, Canada
| | - Mario Leutert
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland
| | - Ugo Dionne
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, QC, Canada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université du Québec à Montréal, Montréal, QC, Canada
- Université Laval Big Data Research Center (BDRC_UL), Québec, QC, Canada
- Department of Biology, Université Laval, Québec, QC, Canada
| | - Alexis Chang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Judit Villén
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Christian R Landry
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, QC, Canada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université du Québec à Montréal, Montréal, QC, Canada
- Université Laval Big Data Research Center (BDRC_UL), Québec, QC, Canada
- Department of Biology, Université Laval, Québec, QC, Canada
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32
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van Loggerenberg W, Sowlati-Hashjin S, Weile J, Hamilton R, Chawla A, Sheykhkarimli D, Gebbia M, Kishore N, Frésard L, Mustajoki S, Pischik E, Di Pierro E, Barbaro M, Floderus Y, Schmitt C, Gouya L, Colavin A, Nussbaum R, Friesema ECH, Kauppinen R, To-Figueras J, Aarsand AK, Desnick RJ, Garton M, Roth FP. Systematically testing human HMBS missense variants to reveal mechanism and pathogenic variation. Am J Hum Genet 2023; 110:1769-1786. [PMID: 37729906 PMCID: PMC10577081 DOI: 10.1016/j.ajhg.2023.08.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 08/15/2023] [Accepted: 08/21/2023] [Indexed: 09/22/2023] Open
Abstract
Defects in hydroxymethylbilane synthase (HMBS) can cause acute intermittent porphyria (AIP), an acute neurological disease. Although sequencing-based diagnosis can be definitive, ∼⅓ of clinical HMBS variants are missense variants, and most clinically reported HMBS missense variants are designated as "variants of uncertain significance" (VUSs). Using saturation mutagenesis, en masse selection, and sequencing, we applied a multiplexed validated assay to both the erythroid-specific and ubiquitous isoforms of HMBS, obtaining confident functional impact scores for >84% of all possible amino acid substitutions. The resulting variant effect maps generally agreed with biochemical expectations and provide further evidence that HMBS can function as a monomer. Additionally, the maps implicated specific residues as having roles in active site dynamics, which was further supported by molecular dynamics simulations. Most importantly, these maps can help discriminate pathogenic from benign HMBS variants, proactively providing evidence even for yet-to-be-observed clinical missense variants.
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Affiliation(s)
- Warren van Loggerenberg
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON M5G 1X5, Canada; Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada
| | | | - Jochen Weile
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON M5G 1X5, Canada; Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada
| | - Rayna Hamilton
- Advanced Academic Programs, Johns Hopkins University, Washington, DC 20036, USA
| | - Aditya Chawla
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON M5G 1X5, Canada
| | - Dayag Sheykhkarimli
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON M5G 1X5, Canada
| | - Marinella Gebbia
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON M5G 1X5, Canada
| | - Nishka Kishore
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON M5G 1X5, Canada
| | | | - Sami Mustajoki
- Research Program in Molecular Medicine, Biomedicum-Helsinki, University of Helsinki, 00290 Helsinki, Finland
| | - Elena Pischik
- Research Program in Molecular Medicine, Biomedicum-Helsinki, University of Helsinki, 00290 Helsinki, Finland
| | - Elena Di Pierro
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Unit of Medicine and Metabolic Diseases, 20122 Milano, Italy
| | - Michela Barbaro
- Porphyria Centre Sweden, Centre for Inherited Metabolic Diseases, Karolinska Institutet, Karolinska University Hospital, 17176 Stockholm, Sweden
| | - Ylva Floderus
- Porphyria Centre Sweden, Centre for Inherited Metabolic Diseases, Karolinska Institutet, Karolinska University Hospital, 17176 Stockholm, Sweden
| | - Caroline Schmitt
- Centre français des porphyries, hôpital Louis-Mourier, Assistance Publique-Hopitaux de Paris, 92701 Colombes, France; Centre de recherche sur l'inflammation, Université Paris Cité, UMR1149 INSERM, 75018 Paris, France
| | - Laurent Gouya
- Centre français des porphyries, hôpital Louis-Mourier, Assistance Publique-Hopitaux de Paris, 92701 Colombes, France; Centre de recherche sur l'inflammation, Université Paris Cité, UMR1149 INSERM, 75018 Paris, France
| | | | | | - Edith C H Friesema
- Porphyria Expertcenter Rotterdam, Center for Lysosomal and Metabolic Diseases, Department of Internal Medicine, Erasmus MC, 3015 Rotterdam, the Netherlands
| | - Raili Kauppinen
- Research Program in Molecular Medicine, Biomedicum-Helsinki, University of Helsinki, 00290 Helsinki, Finland
| | - Jordi To-Figueras
- Biochemistry and Molecular Genetics Department, Hospital Clínic, IDIBAPS, University of Barcelona, 08036 Barcelona, Spain
| | - Aasne K Aarsand
- Norwegian Porphyria Centre, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Robert J Desnick
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michael Garton
- Institute Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada.
| | - Frederick P Roth
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON M5G 1X5, Canada; Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada.
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33
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Weng G, Tao J, Liu Y, Qiu J, Su D, Wang R, Luo W, Zhang T. Organoid: Bridging the gap between basic research and clinical practice. Cancer Lett 2023; 572:216353. [PMID: 37599000 DOI: 10.1016/j.canlet.2023.216353] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/11/2023] [Accepted: 08/17/2023] [Indexed: 08/22/2023]
Abstract
Nowadays, the diagnosis and treatment system of malignant tumors has increasingly tended to be more precise and personalized while the existing tumor models are still unable to fully meet the needs of clinical practice. Notably, the emerging organoid platform has been proven to have huge potential in the field of basic-translational medicine, which is expected to promote a paradigm shift in personalized medicine. Here, given the unique advantages of organoid platform, we mainly explore the prominent role of organoid models in basic research and clinical practice from perspectives of tumor biology, tumorigenic microbes-host interaction, clinical decision-making, and regenerative strategy. In addition, we also put forward some practical suggestions on how to construct a new generation of organoid platform, which is destined to vigorously promote the reform of basic-translational medicine.
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Affiliation(s)
- Guihu Weng
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Jinxin Tao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Yueze Liu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Jiangdong Qiu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Dan Su
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Ruobing Wang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Wenhao Luo
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Taiping Zhang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China.
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34
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Griffith AL, Zheng F, McGee AV, Miller NW, Szegletes ZM, Reint G, Gademann F, Nwolah I, Hegde M, Liu YV, Goodale A, Doench JG. Optimization of Cas12a for multiplexed genome-scale transcriptional activation. CELL GENOMICS 2023; 3:100387. [PMID: 37719144 PMCID: PMC10504673 DOI: 10.1016/j.xgen.2023.100387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/28/2023] [Accepted: 08/01/2023] [Indexed: 09/19/2023]
Abstract
Cas12a CRISPR technology, unlike Cas9, allows for facile multiplexing of guide RNAs from a single transcript, simplifying combinatorial perturbations. While Cas12a has been implemented for multiplexed knockout genetic screens, it has yet to be optimized for CRISPR activation (CRISPRa) screens in human cells. Here, we develop a new Cas12a-based transactivation domain (TAD) recruitment system using the ALFA nanobody and demonstrate simultaneous activation of up to four genes. We screen a genome-wide library to identify modulators of growth and MEK inhibition, and we compare these results with those obtained with open reading frame (ORF) overexpression and Cas9-based CRISPRa. We find that the activity of multiplexed arrays is largely predictable from the best-performing guide and provide criteria for selecting active guides. We anticipate that these results will greatly accelerate the exploration of gene function and combinatorial phenotypes at scale.
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Affiliation(s)
- Audrey L. Griffith
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - Fengyi Zheng
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - Abby V. McGee
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - Nathan W. Miller
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - Zsofia M. Szegletes
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - Ganna Reint
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - Fabian Gademann
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - Ifunanya Nwolah
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - Mudra Hegde
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - Yanjing V. Liu
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - Amy Goodale
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
| | - John G. Doench
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames St., Cambridge, MA 02142, USA
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35
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Balmas E, Sozza F, Bottini S, Ratto ML, Savorè G, Becca S, Snijders KE, Bertero A. Manipulating and studying gene function in human pluripotent stem cell models. FEBS Lett 2023; 597:2250-2287. [PMID: 37519013 DOI: 10.1002/1873-3468.14709] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 08/01/2023]
Abstract
Human pluripotent stem cells (hPSCs) are uniquely suited to study human development and disease and promise to revolutionize regenerative medicine. These applications rely on robust methods to manipulate gene function in hPSC models. This comprehensive review aims to both empower scientists approaching the field and update experienced stem cell biologists. We begin by highlighting challenges with manipulating gene expression in hPSCs and their differentiated derivatives, and relevant solutions (transfection, transduction, transposition, and genomic safe harbor editing). We then outline how to perform robust constitutive or inducible loss-, gain-, and change-of-function experiments in hPSCs models, both using historical methods (RNA interference, transgenesis, and homologous recombination) and modern programmable nucleases (particularly CRISPR/Cas9 and its derivatives, i.e., CRISPR interference, activation, base editing, and prime editing). We further describe extension of these approaches for arrayed or pooled functional studies, including emerging single-cell genomic methods, and the related design and analytical bioinformatic tools. Finally, we suggest some directions for future advancements in all of these areas. Mastering the combination of these transformative technologies will empower unprecedented advances in human biology and medicine.
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Affiliation(s)
- Elisa Balmas
- Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Turin, Torino, Italy
| | - Federica Sozza
- Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Turin, Torino, Italy
| | - Sveva Bottini
- Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Turin, Torino, Italy
| | - Maria Luisa Ratto
- Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Turin, Torino, Italy
| | - Giulia Savorè
- Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Turin, Torino, Italy
| | - Silvia Becca
- Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Turin, Torino, Italy
| | - Kirsten Esmee Snijders
- Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Turin, Torino, Italy
| | - Alessandro Bertero
- Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center "Guido Tarone", University of Turin, Torino, Italy
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36
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Zeghal M, Matte K, Venes A, Patel S, Laroche G, Sarvan S, Joshi M, Rain JC, Couture JF, Giguère PM. Development of a V5-tag-directed nanobody and its implementation as an intracellular biosensor of GPCR signaling. J Biol Chem 2023; 299:105107. [PMID: 37517699 PMCID: PMC10470007 DOI: 10.1016/j.jbc.2023.105107] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/19/2023] [Accepted: 07/20/2023] [Indexed: 08/01/2023] Open
Abstract
Protein-protein interactions (PPIs) form the foundation of any cell signaling network. Considering that PPIs are highly dynamic processes, cellular assays are often essential for their study because they closely mimic the biological complexities of cellular environments. However, incongruity may be observed across different PPI assays when investigating a protein partner of interest; these discrepancies can be partially attributed to the fusion of different large functional moieties, such as fluorescent proteins or enzymes, which can yield disparate perturbations to the protein's stability, subcellular localization, and interaction partners depending on the given cellular assay. Owing to their smaller size, epitope tags may exhibit a diminished susceptibility to instigate such perturbations. However, while they have been widely used for detecting or manipulating proteins in vitro, epitope tags lack the in vivo traceability and functionality needed for intracellular biosensors. Herein, we develop NbV5, an intracellular nanobody binding the V5-tag, which is suitable for use in cellular assays commonly used to study PPIs such as BRET, NanoBiT, and Tango. The NbV5:V5 tag system has been applied to interrogate G protein-coupled receptor signaling, specifically by replacing larger functional moieties attached to the protein interactors, such as fluorescent or luminescent proteins (∼30 kDa), by the significantly smaller V5-tag peptide (1.4 kDa), and for microscopy imaging which is successfully detected by NbV5-based biosensors. Therefore, the NbV5:V5 tag system presents itself as a versatile tool for live-cell imaging and a befitting adaptation to existing cellular assays dedicated to probing PPIs.
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Affiliation(s)
- Manel Zeghal
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Kevin Matte
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Angelica Venes
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Shivani Patel
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Geneviève Laroche
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Sabina Sarvan
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - Monika Joshi
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Jean-François Couture
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - Patrick M Giguère
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Brain and Mind Research Institute, University of Ottawa, Ottawa, Ontario, Canada.
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Tian S, Zhou N. Gaining New Insights into Fundamental Biological Pathways by Bacterial Toxin-Based Genetic Screens. Bioengineering (Basel) 2023; 10:884. [PMID: 37627769 PMCID: PMC10451959 DOI: 10.3390/bioengineering10080884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/11/2023] [Accepted: 07/22/2023] [Indexed: 08/27/2023] Open
Abstract
Genetic screen technology has been applied to study the mechanism of action of bacterial toxins-a special class of virulence factors that contribute to the pathogenesis caused by bacterial infections. These screens aim to identify host factors that directly or indirectly facilitate toxin intoxication. Additionally, specific properties of certain toxins, such as membrane interaction, retrograde trafficking, and carbohydrate binding, provide robust probes to comprehensively investigate the lipid biosynthesis, membrane vesicle transport, and glycosylation pathways, respectively. This review specifically focuses on recent representative toxin-based genetic screens that have identified new players involved in and provided new insights into fundamental biological pathways, such as glycosphingolipid biosynthesis, protein glycosylation, and membrane vesicle trafficking pathways. Functionally characterizing these newly identified factors not only expands our current understanding of toxin biology but also enables a deeper comprehension of fundamental biological questions. Consequently, it stimulates the development of new therapeutic approaches targeting both bacterial infectious diseases and genetic disorders with defects in these factors and pathways.
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Affiliation(s)
- Songhai Tian
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China
- Department of Urology, Boston Children’s Hospital, Boston, MA 02115, USA;
- Department of Microbiology and Department of Surgery, Harvard Medical School, Boston, MA 02115, USA
| | - Nini Zhou
- Department of Urology, Boston Children’s Hospital, Boston, MA 02115, USA;
- Department of Microbiology and Department of Surgery, Harvard Medical School, Boston, MA 02115, USA
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38
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Malnassy G, Keating CR, Gad S, Bridgeman B, Perera A, Hou W, Cotler SJ, Ding X, Choudhry M, Sun Z, Koleske AJ, Qiu W. Inhibition of Abelson Tyrosine-Protein Kinase 2 Suppresses the Development of Alcohol-Associated Liver Disease by Decreasing PPARgamma Expression. Cell Mol Gastroenterol Hepatol 2023; 16:685-709. [PMID: 37460041 PMCID: PMC10520367 DOI: 10.1016/j.jcmgh.2023.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 08/07/2023]
Abstract
BACKGROUND & AIMS Alcohol-associated liver disease (ALD) represents a spectrum of alcohol use-related liver diseases. Outside of alcohol abstinence, there are currently no Food and Drug Administration-approved treatments for advanced ALD, necessitating a greater understanding of ALD pathogenesis and potential molecular targets for therapeutic intervention. The ABL-family proteins, including ABL1 and ABL2, are non-receptor tyrosine kinases that participate in a diverse set of cellular functions. We investigated the role of the ABL kinases in alcohol-associated liver disease. METHODS We used samples from patients with ALD compared with healthy controls to elucidate a clinical phenotype. We established strains of liver-specific Abl1 and Abl2 knockout mice and subjected them to the National Institute on Alcohol Abuse and Alcoholism acute-on-chronic alcohol feeding regimen. Murine samples were subjected to RNA sequencing, AST, Oil Red O staining, H&E staining, Western blotting, and quantitative polymerase chain reaction to assess phenotypic changes after alcohol feeding. In vitro modeling in HepG2 cells as well as primary hepatocytes from C57BL6/J mice was used to establish this mechanistic link of ALD pathogenesis. RESULTS We demonstrate that the ABL kinases are highly activated in ALD patient liver samples as well as in liver tissues from mice subjected to an alcohol feeding regimen. We found that the liver-specific knockout of Abl2, but not Abl1, attenuated alcohol-induced steatosis, liver injury, and inflammation. Subsequent RNA sequencing and gene set enrichment analyses of mouse liver tissues revealed that relative to wild-type alcohol-fed mice, Abl2 knockout alcohol-fed mice exhibited numerous pathway changes, including significantly decreased peroxisome proliferator activated receptor (PPAR) signaling. Further examination revealed that PPARγ, a previously identified regulator of ALD pathogenesis, was induced upon alcohol feeding in wild-type mice, but not in Abl2 knockout mice. In vitro analyses revealed that shRNA-mediated knockdown of ABL2 abolished the alcohol-induced accumulation of PPARγ as well as subsequent lipid accumulation. Conversely, forced overexpression of ABL2 resulted in increased PPARγ protein expression. Furthermore, we demonstrated that the regulation of hypoxia inducible factor 1 subunit alpha (HIF1α) by ABL2 is required for alcohol-induced PPARγ expression. Furthermore, treatment with ABL kinase inhibitors attenuated alcohol-induced PPARγ expression, lipid droplet formation, and liver injury. CONCLUSIONS On the basis of our current evidence, we propose that alcohol-induced ABL2 activation promotes ALD through increasing HIF1α and the subsequent PPARγ expression, and ABL2 inhibition may serve as a promising target for the treatment of ALD.
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Affiliation(s)
- Greg Malnassy
- Department of Surgery, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois; Department of Cancer Biology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois
| | - Claudia R Keating
- Department of Surgery, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois; Department of Cancer Biology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois
| | - Shaimaa Gad
- Department of Surgery, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois; Department of Cancer Biology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois; Department of Pharmacology, Medical Research and Clinical Studies Institute, National Research Centre, Cairo, Egypt
| | - Bryan Bridgeman
- Department of Surgery, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois; Department of Cancer Biology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois
| | - Aldeb Perera
- Department of Surgery, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois; Department of Cancer Biology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois
| | - Wei Hou
- Department of Surgery, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois; Department of Cancer Biology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois
| | - Scott J Cotler
- Department of Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois
| | - Xianzhong Ding
- Department of Pathology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois
| | - Mashkoor Choudhry
- Department of Surgery, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois
| | - Zhaoli Sun
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Anthony J Koleske
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut
| | - Wei Qiu
- Department of Surgery, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois; Department of Cancer Biology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois.
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Iazzi M, Sadeghi S, Gupta GD. A Proteomic Survey of the Cystic Fibrosis Transmembrane Conductance Regulator Surfaceome. Int J Mol Sci 2023; 24:11457. [PMID: 37511222 PMCID: PMC10380767 DOI: 10.3390/ijms241411457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/08/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
The aim of this review article is to collate recent contributions of proteomic studies to cystic fibrosis transmembrane conductance regulator (CFTR) biology. We summarize advances from these studies and create an accessible resource for future CFTR proteomic efforts. We focus our attention on the CFTR interaction network at the cell surface, thus generating a CFTR 'surfaceome'. We review the main findings about CFTR interactions and highlight several functional categories amongst these that could lead to the discovery of potential biomarkers and drug targets for CF.
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Affiliation(s)
| | | | - Gagan D. Gupta
- Department of Chemistry and Biology, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada
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40
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Abstract
Messenger RNA (mRNA) stability and translational efficiency are two crucial aspects of the post-transcriptional process that profoundly impact protein production in a cell. While it is widely known that ribosomes produce proteins, studies during the past decade have surprisingly revealed that ribosomes also control mRNA stability in a codon-dependent manner, a process referred to as codon optimality. Therefore, codons, the three-nucleotide words read by the ribosome, have a potent effect on mRNA stability and provide cis-regulatory information that extends beyond the amino acids they encode. While the codon optimality molecular mechanism is still unclear, the translation elongation rate appears to trigger mRNA decay. Thus, transfer RNAs emerge as potential master gene regulators affecting mRNA stability. Furthermore, while few factors related to codon optimality have been identified in yeast, the orthologous genes in vertebrates do not necessary share the same functions. Here, we discuss codon optimality findings and gene regulation layers related to codon composition in different eukaryotic species.
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Affiliation(s)
- Qiushuang Wu
- Stowers Institute for Medical Research, Kansas City, Missouri, USA;
| | - Ariel A Bazzini
- Stowers Institute for Medical Research, Kansas City, Missouri, USA;
- Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas, USA
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41
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Veenstra BT, Veenstra TD. Proteomic applications in identifying protein-protein interactions. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2023; 138:1-48. [PMID: 38220421 DOI: 10.1016/bs.apcsb.2023.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
There are many things that can be used to characterize a protein. Size, isoelectric point, hydrophobicity, structure (primary to quaternary), and subcellular location are just a few parameters that are used. The most important feature of a protein, however, is its function. While there are many experiments that can indicate a protein's role, identifying the molecules it interacts with is probably the most definitive way of determining its function. Owing to technology limitations, protein interactions have historically been identified on a one molecule per experiment basis. The advent of high throughput multiplexed proteomic technologies in the 1990s, however, made identifying hundreds and thousands of proteins interactions within single experiments feasible. These proteomic technologies have dramatically increased the rate at which protein-protein interactions (PPIs) are discovered. While the improvement in mass spectrometry technology was an early driving force in the rapid pace of identifying PPIs, advances in sample preparation and chromatography have recently been propelling the field. In this chapter, we will discuss the importance of identifying PPIs and describe current state-of-the-art technologies that demonstrate what is currently possible in this important area of biological research.
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Affiliation(s)
- Benjamin T Veenstra
- Department of Math and Sciences, Cedarville University, Cedarville, OH, United States
| | - Timothy D Veenstra
- School of Pharmacy, Cedarville University, Cedarville, OH, United States.
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42
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Ota R, Watanabe T, Wazawa Y, Kuwajima H, Honda T, Soeda S, Saito Y, Yuki R, Fukumoto Y, Yamaguchi N, Yamaguchi N, Nakayama Y. V-Src delocalizes Aurora B by suppressing Aurora B kinase activity during monopolar cytokinesis. Cell Signal 2023:110764. [PMID: 37315749 DOI: 10.1016/j.cellsig.2023.110764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 06/08/2023] [Accepted: 06/08/2023] [Indexed: 06/16/2023]
Abstract
c-Src tyrosine kinase plays roles in a wide range of signaling events and its increased activity is frequently observed in a variety of epithelial and non-epithelial cancers. v-Src, an oncogene first identified in the Rous sarcoma virus, is an oncogenic version of c-Src and has constitutively active tyrosine kinase activity. We previously showed that v-Src induces Aurora B delocalization, resulting in cytokinesis failure and binucleated cell formation. In the present study, we explored the mechanism underlying v-Src-induced Aurora B delocalization. Treatment with the Eg5 inhibitor (+)-S-trityl-L-cysteine (STLC) arrested cells in a prometaphase-like state with a monopolar spindle; upon further inhibition of cyclin-dependent kinase (CDK1) by RO-3306, cells underwent monopolar cytokinesis with bleb-like protrusions. Aurora B was localized to the protruding furrow region or the polarized plasma membrane 30 min after RO-3306 addition, whereas inducible v-Src expression caused Aurora B delocalization in cells undergoing monopolar cytokinesis. Delocalization was similarly observed in monopolar cytokinesis induced by inhibiting Mps1, instead of CDK1, in the STLC-arrested mitotic cells. Importantly, western blotting analysis and in vitro kinase assay revealed that v-Src decreased the levels of Aurora B autophosphorylation and its kinase activity. Furthermore, like v-Src, treatment with the Aurora B inhibitor ZM447439 also caused Aurora B delocalization at concentrations that partially inhibited Aurora B autophosphorylation. Given that phosphorylation of Aurora B by v-Src was not observed, these results suggest that v-Src causes Aurora B delocalization by indirectly suppressing Aurora B kinase activity.
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Affiliation(s)
- Ryoko Ota
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan
| | - Takumi Watanabe
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan
| | - Yuuki Wazawa
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan
| | - Hiroki Kuwajima
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan
| | - Takuya Honda
- Laboratory of Molecular Cell Biology, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba 260-8675, Japan; Laboratory of Chemical Pharmacology, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba 260-8675, Japan
| | - Shuhei Soeda
- Laboratory of Molecular Cell Biology, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba 260-8675, Japan; Laboratory of Neurochemistry, College of Pharmaceutical Sciences, Ritsumeikan University, Shiga 525-8577, Japan
| | - Youhei Saito
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan
| | - Ryuzaburo Yuki
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan
| | - Yasunori Fukumoto
- Laboratory of Molecular Cell Biology, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba 260-8675, Japan; Laboratory of Toxicology and Environmental Health, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba 260-8675, Japan
| | - Noritaka Yamaguchi
- Laboratory of Molecular Cell Biology, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba 260-8675, Japan; Department of Molecular Cardiovascular Pharmacology, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba 260-8675, Japan
| | - Naoto Yamaguchi
- Laboratory of Molecular Cell Biology, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba 260-8675, Japan
| | - Yuji Nakayama
- Laboratory of Biochemistry and Molecular Biology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.
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Redd PS, Payero L, Gilbert DM, Page CA, King R, McAssey EV, Bodie D, Diaz S, Hancock CN. Transposase expression, element abundance, element size, and DNA repair determine the mobility and heritability of PIF/ Pong/ Harbinger transposable elements. Front Cell Dev Biol 2023; 11:1184046. [PMID: 37363729 PMCID: PMC10288884 DOI: 10.3389/fcell.2023.1184046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/22/2023] [Indexed: 06/28/2023] Open
Abstract
Introduction: Class II DNA transposable elements account for significant portions of eukaryotic genomes and contribute to genome evolution through their mobilization. To escape inactivating mutations and persist in the host genome over evolutionary time, these elements must be mobilized enough to result in additional copies. These elements utilize a "cut and paste" transposition mechanism that does not intrinsically include replication. However, elements such as the rice derived mPing element have been observed to increase in copy number over time. Methods: We used yeast transposition assays to test several parameters that could affect the excision and insertion of mPing and its related elements. This included development of novel strategies for measuring element insertion and sequencing insertion sites. Results: Increased transposase protein expression increased the mobilization frequency of a small (430 bp) element, while overexpression inhibition was observed for a larger (7,126 bp) element. Smaller element size increased both the frequency of excision and insertion of these elements. The effect of yeast ploidy on element excision, insertion, and copy number provided evidence that homology dependent repair allows for replicative transposition. These elements were found to preferentially insert into yeast rDNA repeat sequences. Discussion: Identifying the parameters that influence transposition of these elements will facilitate their use for gene discovery and genome editing. These insights in to the behavior of these elements also provide important clues into how class II transposable elements have shaped eukaryotic genomes.
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Affiliation(s)
- Priscilla S. Redd
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC, United States
| | - Lisette Payero
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC, United States
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, United States
| | - David M. Gilbert
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC, United States
| | - Clinton A. Page
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC, United States
| | - Reese King
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC, United States
| | - Edward V. McAssey
- Department of Crop and Soil Science, Institute of Plant Breeding, Genetics, and Genomics, University of Georgia, Athens, GA, United States
| | - Dalton Bodie
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC, United States
| | - Stephanie Diaz
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC, United States
| | - C. Nathan Hancock
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC, United States
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44
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Hindi SM, Petrany MJ, Greenfeld E, Focke LC, Cramer AAW, Whitt MA, Khairallah RJ, Ward CW, Chamberlain JS, Podbilewicz B, Prasad V, Millay DP. Enveloped viruses pseudotyped with mammalian myogenic cell fusogens target skeletal muscle for gene delivery. Cell 2023; 186:2062-2077.e17. [PMID: 37075755 PMCID: PMC11181154 DOI: 10.1016/j.cell.2023.03.033] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 02/08/2023] [Accepted: 03/28/2023] [Indexed: 04/21/2023]
Abstract
Entry of enveloped viruses into cells is mediated by viral fusogenic proteins that drive membrane rearrangements needed for fusion between viral and target membranes. Skeletal muscle development also requires membrane fusion events between progenitor cells to form multinucleated myofibers. Myomaker and Myomerger are muscle-specific cell fusogens but do not structurally or functionally resemble classical viral fusogens. We asked whether the muscle fusogens could functionally substitute for viral fusogens, despite their structural distinctiveness, and fuse viruses to cells. We report that engineering of Myomaker and Myomerger on the membrane of enveloped viruses leads to specific transduction of skeletal muscle. We also demonstrate that locally and systemically injected virions pseudotyped with the muscle fusogens can deliver μDystrophin to skeletal muscle of a mouse model of Duchenne muscular dystrophy and alleviate pathology. Through harnessing the intrinsic properties of myogenic membranes, we establish a platform for delivery of therapeutic material to skeletal muscle.
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Affiliation(s)
- Sajedah M Hindi
- Division of Molecular Cardiovascular Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Michael J Petrany
- Division of Molecular Cardiovascular Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Elena Greenfeld
- Department of Biology, Technion-Israel Institute of Technology, Haifa, Israel
| | - Leah C Focke
- Division of Molecular Cardiovascular Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Alyssa A W Cramer
- Division of Molecular Cardiovascular Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Michael A Whitt
- Department of Microbiology, Immunology, and Biochemistry, University of Tennessee Health Science Center, Memphis, TN, USA
| | | | - Christopher W Ward
- Department of Orthopedics and Center for Biomedical Engineering and Technology (BioMET), University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jeffrey S Chamberlain
- Departments of Neurology, Medicine and Biochemistry, Wellstone Muscular Dystrophy Specialized Research Center, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Vikram Prasad
- Division of Molecular Cardiovascular Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Douglas P Millay
- Division of Molecular Cardiovascular Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
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45
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Monda JK, Ge X, Hunkeler M, Donovan KA, Ma MW, Jin CY, Leonard M, Fischer ES, Bennett EJ. HAPSTR1 localizes HUWE1 to the nucleus to limit stress signaling pathways. Cell Rep 2023; 42:112496. [PMID: 37167062 DOI: 10.1016/j.celrep.2023.112496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/21/2023] [Accepted: 04/25/2023] [Indexed: 05/13/2023] Open
Abstract
HUWE1 is a large, enigmatic HECT-domain ubiquitin ligase implicated in the regulation of diverse pathways, including DNA repair, apoptosis, and differentiation. How HUWE1 engages its structurally diverse substrates and how HUWE1 activity is regulated are unknown. Using unbiased quantitative proteomics, we find that HUWE1 targets substrates in a largely cell-type-specific manner. However, we identify C16orf72/HAPSTR1 as a robust HUWE1 substrate in multiple cell lines. Previously established physical and genetic interactions between HUWE1 and HAPSTR1 suggest that HAPSTR1 positively regulates HUWE1 function. Here, we show that HAPSTR1 is required for HUWE1 nuclear localization and nuclear substrate targeting. Nuclear HUWE1 is required for both cell proliferation and modulation of stress signaling pathways, including p53 and nuclear factor κB (NF-κB)-mediated signaling. Combined, our results define a role for HAPSTR1 in gating critical nuclear HUWE1 functions.
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Affiliation(s)
- Julie K Monda
- School of Biological Sciences, Department of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Xuezhen Ge
- School of Biological Sciences, Department of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Moritz Hunkeler
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Katherine A Donovan
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Michelle W Ma
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Cyrus Y Jin
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Marilyn Leonard
- School of Biological Sciences, Department of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Eric S Fischer
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Eric J Bennett
- School of Biological Sciences, Department of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093, USA.
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46
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Bakht MK, Yamada Y, Ku SY, Venkadakrishnan VB, Korsen JA, Kalidindi TM, Mizuno K, Ahn SH, Seo JH, Garcia MM, Khani F, Elemento O, Long HW, Chaglassian A, Pillarsetty N, Lewis JS, Freedman M, Belanger AP, Nguyen QD, Beltran H. Landscape of prostate-specific membrane antigen heterogeneity and regulation in AR-positive and AR-negative metastatic prostate cancer. NATURE CANCER 2023; 4:699-715. [PMID: 37038004 PMCID: PMC10867901 DOI: 10.1038/s43018-023-00539-6] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 03/06/2023] [Indexed: 04/12/2023]
Abstract
Tumor expression of prostate-specific membrane antigen (PSMA) is lost in 15-20% of men with castration-resistant prostate cancer (CRPC), yet the underlying mechanisms remain poorly defined. In androgen receptor (AR)-positive CRPC, we observed lower PSMA expression in liver lesions versus other sites, suggesting a role of the microenvironment in modulating PSMA. PSMA suppression was associated with promoter histone 3 lysine 27 methylation and higher levels of neutral amino acid transporters, correlating with 18F-fluciclovine uptake on positron emission tomography imaging. While PSMA is regulated by AR, we identified a subset of AR-negative CRPC with high PSMA. HOXB13 and AR co-occupancy at the PSMA enhancer and knockout models point to HOXB13 as an upstream regulator of PSMA in AR-positive and AR-negative prostate cancer. These data demonstrate how PSMA expression is differentially regulated across metastatic lesions and in the context of the AR, which may inform selection for PSMA-targeted therapies and development of complementary biomarkers.
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Affiliation(s)
- Martin K Bakht
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Yasutaka Yamada
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Sheng-Yu Ku
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | | | - Joshua A Korsen
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pharmacology, Weill Cornell Medicine, New York, NY, USA
| | - Teja M Kalidindi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kei Mizuno
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Shin Hye Ahn
- Harvard Medical School, Boston, MA, USA
- Molecular Cancer Imaging Facility, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Maria Mica Garcia
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Francesca Khani
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - Olivier Elemento
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Henry W Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | - Jason S Lewis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pharmacology, Weill Cornell Medicine, New York, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Anthony P Belanger
- Harvard Medical School, Boston, MA, USA
- Molecular Cancer Imaging Facility, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Quang-De Nguyen
- Harvard Medical School, Boston, MA, USA
- Lurie Family Imaging Center, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Himisha Beltran
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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47
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Skinner OS, Blanco-Fernández J, Goodman RP, Kawakami A, Shen H, Kemény LV, Joesch-Cohen L, Rees MG, Roth JA, Fisher DE, Mootha VK, Jourdain AA. Salvage of ribose from uridine or RNA supports glycolysis in nutrient-limited conditions. Nat Metab 2023; 5:765-776. [PMID: 37198474 PMCID: PMC10229423 DOI: 10.1038/s42255-023-00774-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/03/2023] [Indexed: 05/19/2023]
Abstract
Glucose is vital for life, serving as both a source of energy and carbon building block for growth. When glucose is limiting, alternative nutrients must be harnessed. To identify mechanisms by which cells can tolerate complete loss of glucose, we performed nutrient-sensitized genome-wide genetic screens and a PRISM growth assay across 482 cancer cell lines. We report that catabolism of uridine from the medium enables the growth of cells in the complete absence of glucose. While previous studies have shown that uridine can be salvaged to support pyrimidine synthesis in the setting of mitochondrial oxidative phosphorylation deficiency1, our work demonstrates that the ribose moiety of uridine or RNA can be salvaged to fulfil energy requirements via a pathway based on: (1) the phosphorylytic cleavage of uridine by uridine phosphorylase UPP1/UPP2 into uracil and ribose-1-phosphate (R1P), (2) the conversion of uridine-derived R1P into fructose-6-P and glyceraldehyde-3-P by the non-oxidative branch of the pentose phosphate pathway and (3) their glycolytic utilization to fuel ATP production, biosynthesis and gluconeogenesis. Capacity for glycolysis from uridine-derived ribose appears widespread, and we confirm its activity in cancer lineages, primary macrophages and mice in vivo. An interesting property of this pathway is that R1P enters downstream of the initial, highly regulated steps of glucose transport and upper glycolysis. We anticipate that 'uridine bypass' of upper glycolysis could be important in the context of disease and even exploited for therapeutic purposes.
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Affiliation(s)
- Owen S Skinner
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Molecular Biology and Howard Hughes Medical Institute, Massachusetts General Hospital, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | | | - Russell P Goodman
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Molecular Biology and Howard Hughes Medical Institute, Massachusetts General Hospital, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Liver Center, Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
| | - Akinori Kawakami
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Hongying Shen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Molecular Biology and Howard Hughes Medical Institute, Massachusetts General Hospital, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT, USA
- Yale Systems Biology Institute, Yale West Campus, West Haven, CT, USA
| | - Lajos V Kemény
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Dermatology, Venereology and Dermatooncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | | | | | | | - David E Fisher
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Vamsi K Mootha
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Molecular Biology and Howard Hughes Medical Institute, Massachusetts General Hospital, Boston, MA, USA.
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
| | - Alexis A Jourdain
- Department of Immunobiology, University of Lausanne, Epalinges, Switzerland.
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Yalçin Z, Koot D, Bezstarosti K, Salas-Lloret D, Bleijerveld OB, Boersma V, Falcone M, González-Prieto R, Altelaar M, Demmers JAA, Jacobs JJL. Ubiquitinome profiling reveals in vivo UBE2D3 targets and implicates UBE2D3 in protein quality control. Mol Cell Proteomics 2023; 22:100548. [PMID: 37059365 DOI: 10.1016/j.mcpro.2023.100548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 03/29/2023] [Accepted: 04/07/2023] [Indexed: 04/16/2023] Open
Abstract
Ubiquitination has crucial roles in many cellular processes and dysregulation of ubiquitin machinery enzymes can result in various forms of pathogenesis. Cells only have a limited set of ubiquitin-conjugating (E2) enzymes to support the ubiquitination of many cellular targets. As individual E2 enzymes have many different substrates and interactions between E2 enzymes and their substrates can be transient, it is challenging to define all in vivo substrates of an individual E2 and the cellular processes it affects. Particularly challenging in this respect is UBE2D3, an E2 enzyme with promiscuous activity in vitro but less defined roles in vivo. Here, we set out to identify in vivo targets of UBE2D3 by using SILAC-based and label-free quantitative ubiquitin diGly proteomics to study global proteome and ubiquitinome changes associated with UBE2D3 depletion. UBE2D3 depletion changed the global proteome, with the levels of proteins from metabolic pathways, in particular retinol metabolism, being the most affected. However, the impact of UBE2D3 depletion on the ubiquitinome was much more prominent. Interestingly, molecular pathways related to mRNA translation were the most affected. Indeed, we find that ubiquitination of the ribosomal proteins RPS10 and RPS20, critical for ribosome-associated protein quality control (RQC), is dependent on UBE2D3. We show by TULIP2 methodology that RPS10 and RPS20 are direct targets of UBE2D3 and demonstrate that UBE2D3's catalytic activity is required to ubiquitinate RPS10 in vivo. In addition, our data suggest that UBE2D3 acts at multiple levels in autophagic protein quality control (PQC). Collectively, our findings show that depletion of an E2 enzyme in combination with quantitative diGly-based ubiquitinome profiling is a powerful tool to identify new in vivo E2 substrates, as we have done here for UBE2D3. Our work provides an important resource for further studies on the in vivo functions of UBE2D3.
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Affiliation(s)
- Zeliha Yalçin
- Division of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Daniëlle Koot
- Division of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Karel Bezstarosti
- Proteomics Center, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Daniel Salas-Lloret
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Onno B Bleijerveld
- Proteomics Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Vera Boersma
- Division of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Mattia Falcone
- Division of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Román González-Prieto
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands; Genome Proteomics Laboratory, Andalusian Center for Molecular Biology and Regenerative Medicine (CABIMER), University of Seville, Seville, Spain; Department of Cell Biology, University of Seville, Seville, Spain
| | - Maarten Altelaar
- Proteomics Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands; Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, and Netherlands Proteomics Center, Utrecht, The Netherlands
| | | | - Jacqueline J L Jacobs
- Division of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
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49
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Jimenez-Moreno N, Salomo-Coll C, Murphy LC, Wilkinson S. Signal-Retaining Autophagy Indicator as a Quantitative Imaging Method for ER-Phagy. Cells 2023; 12:1134. [PMID: 37190043 PMCID: PMC10136497 DOI: 10.3390/cells12081134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/24/2023] [Accepted: 04/06/2023] [Indexed: 05/17/2023] Open
Abstract
Autophagy is an intracellular lysosomal degradation pathway by which cytoplasmic cargoes are removed to maintain cellular homeostasis. Monitoring autophagy flux is crucial to understand the autophagy process and its biological significance. However, assays to measure autophagy flux are either complex, low throughput or not sensitive enough for reliable quantitative results. Recently, ER-phagy has emerged as a physiologically relevant pathway to maintain ER homeostasis but the process is poorly understood, highlighting the need for tools to monitor ER-phagy flux. In this study, we validate the use of the signal-retaining autophagy indicator (SRAI), a fixable fluorescent probe recently generated and described to detect mitophagy, as a versatile, sensitive and convenient probe for monitoring ER-phagy. This includes the study of either general selective degradation of the endoplasmic reticulum (ER-phagy) or individual forms of ER-phagy involving specific cargo receptors (e.g., FAM134B, FAM134C, TEX264 and CCPG1). Crucially, we present a detailed protocol for the quantification of autophagic flux using automated microscopy and high throughput analysis. Overall, this probe provides a reliable and convenient tool for the measurement of ER-phagy.
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Affiliation(s)
- Natalia Jimenez-Moreno
- Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XR, UK; (C.S.-C.); (S.W.)
| | - Carla Salomo-Coll
- Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XR, UK; (C.S.-C.); (S.W.)
| | - Laura C. Murphy
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK;
| | - Simon Wilkinson
- Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XR, UK; (C.S.-C.); (S.W.)
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50
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Li X, Chung CI, Yang J, Chaudhuri S, Munster PN, Shu X. ATM-SPARK: A GFP phase separation-based activity reporter of ATM. SCIENCE ADVANCES 2023; 9:eade3760. [PMID: 36857446 PMCID: PMC9977181 DOI: 10.1126/sciadv.ade3760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
The kinase ataxia telangiectasia mutated (ATM) plays a key role in the DNA damage response (DDR). It is thus essential to visualize spatiotemporal dynamics of ATM activity during DDR. Here, we designed a robust ATM activity reporter based on phosphorylation-inducible green fluorescent protein phase separation, dubbed ATM-SPARK (separation of phases-based activity reporter of kinase). Upon ATM activation, it undergoes phase separation via multivalent interactions, forming intensely bright droplets. The reporter visualizes spatiotemporal dynamics of endogenous ATM activity in living cells, and its signal is proportional to the amount of DNA damage. ATM-SPARK also enables high-throughput screening of biological and small-molecule regulators. We identified the protein phosphatase 4 that blocks ATM activity. We also identified BGT226 as a potent ATM inhibitor with a median inhibitory concentration of ~3.8 nanomolars. Furthermore, BGT226 sensitizes cancer cells to the radiomimetic drug neocarzinostatin, suggesting that BGT226 might be combined with radiotherapeutic treatment. ATM-SPARK achieves large dynamic range, bright fluorescence, and simple signal pattern.
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Affiliation(s)
- Xiaoquan Li
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Chan-I Chung
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - JunJiao Yang
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Sibapriya Chaudhuri
- Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA, USA
| | - Pamela N. Munster
- Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA, USA
| | - Xiaokun Shu
- Department of Pharmaceutical Chemistry, 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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