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Haas KM, McGregor MJ, Bouhaddou M, Polacco BJ, Kim EY, Nguyen TT, Newton BW, Urbanowski M, Kim H, Williams MAP, Rezelj VV, Hardy A, Fossati A, Stevenson EJ, Sukerman E, Kim T, Penugonda S, Moreno E, Braberg H, Zhou Y, Metreveli G, Harjai B, Tummino TA, Melnyk JE, Soucheray M, Batra J, Pache L, Martin-Sancho L, Carlson-Stevermer J, Jureka AS, Basler CF, Shokat KM, Shoichet BK, Shriver LP, Johnson JR, Shaw ML, Chanda SK, Roden DM, Carter TC, Kottyan LC, Chisholm RL, Pacheco JA, Smith ME, Schrodi SJ, Albrecht RA, Vignuzzi M, Zuliani-Alvarez L, Swaney DL, Eckhardt M, Wolinsky SM, White KM, Hultquist JF, Kaake RM, García-Sastre A, Krogan NJ. Proteomic and genetic analyses of influenza A viruses identify pan-viral host targets. Nat Commun 2023; 14:6030. [PMID: 37758692 PMCID: PMC10533562 DOI: 10.1038/s41467-023-41442-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 08/31/2023] [Indexed: 09/29/2023] Open
Abstract
Influenza A Virus (IAV) is a recurring respiratory virus with limited availability of antiviral therapies. Understanding host proteins essential for IAV infection can identify targets for alternative host-directed therapies (HDTs). Using affinity purification-mass spectrometry and global phosphoproteomic and protein abundance analyses using three IAV strains (pH1N1, H3N2, H5N1) in three human cell types (A549, NHBE, THP-1), we map 332 IAV-human protein-protein interactions and identify 13 IAV-modulated kinases. Whole exome sequencing of patients who experienced severe influenza reveals several genes, including scaffold protein AHNAK, with predicted loss-of-function variants that are also identified in our proteomic analyses. Of our identified host factors, 54 significantly alter IAV infection upon siRNA knockdown, and two factors, AHNAK and coatomer subunit COPB1, are also essential for productive infection by SARS-CoV-2. Finally, 16 compounds targeting our identified host factors suppress IAV replication, with two targeting CDK2 and FLT3 showing pan-antiviral activity across influenza and coronavirus families. This study provides a comprehensive network model of IAV infection in human cells, identifying functional host targets for pan-viral HDT.
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Affiliation(s)
- Kelsey M Haas
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Michael J McGregor
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Mehdi Bouhaddou
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Benjamin J Polacco
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Eun-Young Kim
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Thong T Nguyen
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
| | - Billy W Newton
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
| | - Matthew Urbanowski
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Heejin Kim
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Michael A P Williams
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Veronica V Rezelj
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France
| | - Alexandra Hardy
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France
| | - Andrea Fossati
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Erica J Stevenson
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Ellie Sukerman
- Division of Infectious Diseases, Oregon Health & Science University, Portland, OR, 97239, USA
| | - Tiffany Kim
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Sudhir Penugonda
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Infectious Diseases, Hospital Universitario Ramón y Cajal and IRYCIS, Madrid, Spain
- Centro de Investigación en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Hannes Braberg
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Yuan Zhou
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Giorgi Metreveli
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Bhavya Harjai
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Tia A Tummino
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, 94158, USA
- Graduate Program in Pharmaceutical Sciences and Pharmacogenomics, University of California San Francisco, San Francisco, CA, 94158, USA
| | - James E Melnyk
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Margaret Soucheray
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Jyoti Batra
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Lars Pache
- Infectious and Inflammatory Disease Center, Immunity and Pathogenesis Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 92037, USA
| | - Laura Martin-Sancho
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
- Department of Infectious Disease, Imperial College London, London, SW7 2BX, UK
| | - Jared Carlson-Stevermer
- Synthego Corporation, Redwood City, CA, 94063, USA
- Serotiny Inc., South San Francisco, CA, 94080, USA
| | - Alexander S Jureka
- Molecular Virology and Vaccine Team, Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization & Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, 30333, USA
- General Dynamics Information Technology, Federal Civilian Division, Atlanta, GA, 30329, USA
| | - Christopher F Basler
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Kevan M Shokat
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
| | - Brian K Shoichet
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Leah P Shriver
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO, 63105, USA
- Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, MO, 63105, USA
| | - Jeffrey R Johnson
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Megan L Shaw
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Medical Biosciences, University of the Western Cape, Bellville, 7535, Western Cape, South Africa
| | - Sumit K Chanda
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Dan M Roden
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Tonia C Carter
- Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, 54449, USA
| | - Leah C Kottyan
- Center of Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, 45229, USA
| | - Rex L Chisholm
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Jennifer A Pacheco
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Maureen E Smith
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Steven J Schrodi
- Laboratory of Genetics, School of Medicine and Public Health, University of Wisconsin Madison, Madison, WI, 53706, USA
| | - Randy A Albrecht
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Marco Vignuzzi
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France
| | - Lorena Zuliani-Alvarez
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Danielle L Swaney
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Manon Eckhardt
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
| | - Steven M Wolinsky
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Kris M White
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Judd F Hultquist
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
- Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL, 60611, USA.
| | - Robyn M Kaake
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
| | - Adolfo García-Sastre
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Nevan J Krogan
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, 94158, USA.
- Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG), San Francisco, CA, 94158, USA.
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2
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Chen IP, Longbotham JE, McMahon S, Suryawanshi RK, Khalid MM, Taha TY, Tabata T, Hayashi JM, Soveg FW, Carlson-Stevermer J, Gupta M, Zhang MY, Lam VL, Li Y, Yu Z, Titus EW, Diallo A, Oki J, Holden K, Krogan N, Fujimori DG, Ott M. Viral E Protein Neutralizes BET Protein-Mediated Post-Entry Antagonism of SARS-CoV-2. Cell Rep 2022; 40:111088. [PMID: 35839775 PMCID: PMC9234021 DOI: 10.1016/j.celrep.2022.111088] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 04/27/2022] [Accepted: 06/22/2022] [Indexed: 11/09/2022] Open
Abstract
Inhibitors of bromodomain and extraterminal domain (BET) proteins are possible anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) prophylactics as they downregulate angiotensin-converting enzyme 2 (ACE2). Here we show that BET proteins should not be inactivated therapeutically because they are critical antiviral factors at the post-entry level. Depletion of BRD3 or BRD4 in cells overexpressing ACE2 exacerbates SARS-CoV-2 infection; the same is observed when cells with endogenous ACE2 expression are treated with BET inhibitors during infection and not before. Viral replication and mortality are also enhanced in BET inhibitor-treated mice overexpressing ACE2. BET inactivation suppresses interferon production induced by SARS-CoV-2, a process phenocopied by the envelope (E) protein previously identified as a possible “histone mimetic.” E protein, in an acetylated form, directly binds the second bromodomain of BRD4. Our data support a model where SARS-CoV-2 E protein evolved to antagonize interferon responses via BET protein inhibition; this neutralization should not be further enhanced with BET inhibitor treatment.
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Affiliation(s)
- Irene P Chen
- Gladstone Institutes, San Francisco, CA 94158, USA; Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA
| | - James E Longbotham
- Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Sarah McMahon
- Gladstone Institutes, San Francisco, CA 94158, USA; Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA
| | | | - Mir M Khalid
- Gladstone Institutes, San Francisco, CA 94158, USA
| | - Taha Y Taha
- Gladstone Institutes, San Francisco, CA 94158, USA
| | | | | | | | | | - Meghna Gupta
- Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94158, USA
| | - Meng Yao Zhang
- Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Victor L Lam
- Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Yang Li
- Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Zanlin Yu
- Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Erron W Titus
- Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Amy Diallo
- Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jennifer Oki
- Synthego Corporation, 3696 Haven Avenue, Suite A, Menlo Park, CA 94063, USA
| | - Kevin Holden
- Synthego Corporation, 3696 Haven Avenue, Suite A, Menlo Park, CA 94063, USA
| | - Nevan Krogan
- Gladstone Institutes, San Francisco, CA 94158, USA; Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Danica Galonić Fujimori
- Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA.
| | - Melanie Ott
- Gladstone Institutes, San Francisco, CA 94158, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Quantitative Biosciences Institute COVID-19 Research Group (QCRG), University of California, San Francisco, San Francisco, CA 94158, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
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3
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Samelson AJ, Tran QD, Robinot R, Carrau L, Rezelj VV, Kain AM, Chen M, Ramadoss GN, Guo X, Lim SA, Lui I, Nuñez JK, Rockwood SJ, Wang J, Liu N, Carlson-Stevermer J, Oki J, Maures T, Holden K, Weissman JS, Wells JA, Conklin BR, TenOever BR, Chakrabarti LA, Vignuzzi M, Tian R, Kampmann M. BRD2 inhibition blocks SARS-CoV-2 infection by reducing transcription of the host cell receptor ACE2. Nat Cell Biol 2022; 24:24-34. [PMID: 35027731 PMCID: PMC8820466 DOI: 10.1038/s41556-021-00821-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 11/24/2021] [Indexed: 12/11/2022]
Abstract
SARS-CoV-2 infection of human cells is initiated by the binding of the viral Spike protein to its cell-surface receptor ACE2. We conducted a targeted CRISPRi screen to uncover druggable pathways controlling Spike protein binding to human cells. Here we show that the protein BRD2 is required for ACE2 transcription in human lung epithelial cells and cardiomyocytes, and BRD2 inhibitors currently evaluated in clinical trials potently block endogenous ACE2 expression and SARS-CoV-2 infection of human cells, including those of human nasal epithelia. Moreover, pharmacological BRD2 inhibition with the drug ABBV-744 inhibited SARS-CoV-2 replication in Syrian hamsters. We also found that BRD2 controls transcription of several other genes induced upon SARS-CoV-2 infection, including the interferon response, which in turn regulates the antiviral response. Together, our results pinpoint BRD2 as a potent and essential regulator of the host response to SARS-CoV-2 infection and highlight the potential of BRD2 as a therapeutic target for COVID-19.
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Affiliation(s)
- Avi J Samelson
- Institute for Neurodegenerative Diseases, University of California San Francisco, San Francisco, CA, USA
- Chan-Zuckerberg Biohub, San Francisco, CA, USA
| | - Quang Dinh Tran
- Viral Populations and Pathogenesis Unit, Institut Pasteur, Paris, France
- École Doctorale BioSPC, Université de Paris, Sorbonne Paris Cité, Paris, France
| | - Rémy Robinot
- Institut Pasteur, CIVIC Group, Virus and Immunity Unit, Université de Paris, Paris, France
| | - Lucia Carrau
- Microbiology Department, NYU-Langone, New York, NY, USA
| | - Veronica V Rezelj
- Viral Populations and Pathogenesis Unit, Institut Pasteur, Paris, France
| | - Alice Mac Kain
- Viral Populations and Pathogenesis Unit, Institut Pasteur, Paris, France
- École Doctorale BioSPC, Université de Paris, Sorbonne Paris Cité, Paris, France
| | - Merissa Chen
- Institute for Neurodegenerative Diseases, University of California San Francisco, San Francisco, CA, USA
- Chan-Zuckerberg Biohub, San Francisco, CA, USA
| | - Gokul N Ramadoss
- Gladstone Institutes, San Francisco, CA, USA
- Biomedical Sciences PhD Program, University of California San Francisco, San Francisco, CA, USA
| | - Xiaoyan Guo
- Institute for Neurodegenerative Diseases, University of California San Francisco, San Francisco, CA, USA
- Chan-Zuckerberg Biohub, San Francisco, CA, USA
| | - Shion A Lim
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
- Department of Antibody Engineering, Genentech Inc., San Francisco, CA, USA
| | - Irene Lui
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - James K Nuñez
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | | | - Jianhui Wang
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Na Liu
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | | | | | | | | | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, USA
| | - James A Wells
- Chan-Zuckerberg Biohub, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Bruce R Conklin
- Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Department of Ophthalmology, University of California San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | | | - Lisa A Chakrabarti
- Institut Pasteur, CIVIC Group, Virus and Immunity Unit, Université de Paris, Paris, France
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, Institut Pasteur, Paris, France
| | - Ruilin Tian
- Institute for Neurodegenerative Diseases, University of California San Francisco, San Francisco, CA, USA.
- Chan-Zuckerberg Biohub, San Francisco, CA, USA.
- School of Medicine, Southern University of Science and Technology, Shenzhen, China.
| | - Martin Kampmann
- Institute for Neurodegenerative Diseases, University of California San Francisco, San Francisco, CA, USA.
- Chan-Zuckerberg Biohub, San Francisco, CA, USA.
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.
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4
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Chen IP, Longbotham JE, McMahon S, Suryawanshi RK, Carlson-Stevermer J, Gupta M, Zhang MY, Soveg FW, Hayashi JM, Taha TY, Lam VL, Li Y, Yu Z, Titus EW, Diallo A, Oki J, Holden K, Krogan N, Galonić Fujimori D, Ott M. Viral E Protein Neutralizes BET Protein-Mediated Post-Entry Antagonism of SARS-CoV-2. bioRxiv 2021. [PMID: 34816261 DOI: 10.1101/2021.11.14.468537] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Inhibitors of Bromodomain and Extra-terminal domain (BET) proteins are possible anti-SARS-CoV-2 prophylactics as they downregulate angiotensin-converting enzyme 2 (ACE2). Here, we show that BET proteins should not be inactivated therapeutically as they are critical antiviral factors at the post-entry level. Knockouts of BRD3 or BRD4 in cells overexpressing ACE2 exacerbate SARS-CoV-2 infection; the same is observed when cells with endogenous ACE2 expression are treated with BET inhibitors during infection, and not before. Viral replication and mortality are also enhanced in BET inhibitor-treated mice overexpressing ACE2. BET inactivation suppresses interferon production induced by SARS-CoV-2, a process phenocopied by the envelope (E) protein previously identified as a possible "histone mimetic." E protein, in an acetylated form, directly binds the second bromodomain of BRD4. Our data support a model where SARS-CoV-2 E protein evolved to antagonize interferon responses via BET protein inhibition; this neutralization should not be further enhanced with BET inhibitor treatment.
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5
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Samelson AJ, Tran QD, Robinot R, Carrau L, Rezelj VV, Mac Kain A, Chen M, Ramadoss GN, Guo X, Lim SA, Lui I, Nunez J, Rockwood SJ, Wang J, Liu N, Carlson-Stevermer J, Oki J, Maures T, Holden K, Weissman JS, Wells JA, Conklin BR, TenOever BR, Chakrabarti LA, Vignuzzi M, Tian R, Kampmann M. BRD2 inhibition blocks SARS-CoV-2 infection by reducing transcription of the host cell receptor ACE2. bioRxiv 2021:2021.01.19.427194. [PMID: 33501440 PMCID: PMC7836110 DOI: 10.1101/2021.01.19.427194] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
SARS-CoV-2 infection of human cells is initiated by the binding of the viral Spike protein to its cell-surface receptor ACE2. We conducted a targeted CRISPRi screen to uncover druggable pathways controlling Spike protein binding to human cells. We found that the protein BRD2 is required for ACE2 transcription in human lung epithelial cells and cardiomyocytes, and BRD2 inhibitors currently evaluated in clinical trials potently block endogenous ACE2 expression and SARS-CoV-2 infection of human cells, including those of human nasal epithelia. Moreover, pharmacological BRD2 inhibition with the drug ABBV-744 inhibited SARS-CoV-2 replication in Syrian hamsters. We also found that BRD2 controls transcription of several other genes induced upon SARS-CoV-2 infection, including the interferon response, which in turn regulates the antiviral response. Together, our results pinpoint BRD2 as a potent and essential regulator of the host response to SARS-CoV-2 infection and highlight the potential of BRD2 as a novel therapeutic target for COVID-19.
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Affiliation(s)
- Avi J Samelson
- Institute for Neurodegenerative Diseases, Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Quang Dinh Tran
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, 75015 Paris, France
- École Doctorale BioSPC, Université de Paris, Sorbonne Paris Cité, 75006 Paris, France
| | - Rémy Robinot
- Institut Pasteur, CIVIC Group, Virus and Immunity Unit, CNRS UMR 3569, 75015 Paris, France
| | - Lucia Carrau
- Department of Microbiology, Icahn School of Medicine, New York, NY 10029
| | - Veronica V Rezelj
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, 75015 Paris, France
| | - Alice Mac Kain
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, 75015 Paris, France
- École Doctorale BioSPC, Université de Paris, Sorbonne Paris Cité, 75006 Paris, France
| | - Merissa Chen
- Institute for Neurodegenerative Diseases, Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Gokul N Ramadoss
- Gladstone Institutes, San Francisco, 94158, CA, USA
- Biomedical Sciences PhD Program, University of California, San Francisco, CA, USA
| | - Xiaoyan Guo
- Institute for Neurodegenerative Diseases, Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Shion A Lim
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94158, USA
- Present address: Department of Antibody Engineering, Genentech Inc., South San Francisco, CA, 94080, USA
| | - Irene Lui
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94158, USA
| | - James Nunez
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, University of California, San Francisco, CA 94158, USA
| | | | - Jianhui Wang
- School of Medicine, Southern University of Science and Technology, Shenzhen, China 518055
| | - Na Liu
- School of Medicine, Southern University of Science and Technology, Shenzhen, China 518055
| | - Jared Carlson-Stevermer
- Synthego Corporation, Redwood City, CA 94063, USA, Department of Biology, Massachusetts Institute of Technology, Cambridge, 02142, USA
| | - Jennifer Oki
- Synthego Corporation, Redwood City, CA 94063, USA, Department of Biology, Massachusetts Institute of Technology, Cambridge, 02142, USA
| | - Travis Maures
- Synthego Corporation, Redwood City, CA 94063, USA, Department of Biology, Massachusetts Institute of Technology, Cambridge, 02142, USA
| | - Kevin Holden
- Synthego Corporation, Redwood City, CA 94063, USA, Department of Biology, Massachusetts Institute of Technology, Cambridge, 02142, USA
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, University of California, San Francisco, CA 94158, USA
- Whitehead Institute for Biomedical Research, Cambridge, 02142, USA, Innovative Genomics Institute, Berkeley, 94720, CA, USA
| | - James A Wells
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
| | - Bruce R Conklin
- Gladstone Institutes, San Francisco, 94158, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA. 94158, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, 94158, USA
| | | | - Lisa A Chakrabarti
- Institut Pasteur, CIVIC Group, Virus and Immunity Unit, CNRS UMR 3569, 75015 Paris, France
| | - Marco Vignuzzi
- Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, 75015 Paris, France
| | - Ruilin Tian
- Institute for Neurodegenerative Diseases, Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- School of Medicine, Southern University of Science and Technology, Shenzhen, China 518055
| | - Martin Kampmann
- Institute for Neurodegenerative Diseases, Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, 94158, USA
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6
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Williams CG, Jureka AS, Silvas JA, Nicolini AM, Chvatal SA, Carlson-Stevermer J, Oki J, Holden K, Basler CF. Inhibitors of VPS34 and fatty-acid metabolism suppress SARS-CoV-2 replication. Cell Rep 2021; 36:109479. [PMID: 34320401 PMCID: PMC8289695 DOI: 10.1016/j.celrep.2021.109479] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 03/19/2021] [Accepted: 07/12/2021] [Indexed: 02/06/2023] Open
Abstract
Coronaviruses rely on host membranes for entry, establishment of replication centers, and egress. Compounds targeting cellular membrane biology and lipid biosynthetic pathways have previously shown promise as antivirals and are actively being pursued as treatments for other conditions. Here, we test small molecule inhibitors that target the PI3 kinase VPS34 or fatty acid metabolism for anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) activity. Our studies determine that compounds targeting VPS34 are potent SARS-CoV-2 inhibitors. Mechanistic studies with compounds targeting multiple steps up- and downstream of fatty acid synthase (FASN) identify the importance of triacylglycerol production and protein palmitoylation as requirements for efficient viral RNA synthesis and infectious virus production. Further, FASN knockout results in significantly impaired SARS-CoV-2 replication that can be rescued with fatty acid supplementation. Together, these studies clarify roles for VPS34 and fatty acid metabolism in SARS-CoV-2 replication and identify promising avenues for the development of countermeasures against SARS-CoV-2.
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Affiliation(s)
- Caroline G Williams
- Center for Microbial Pathogenesis, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA
| | - Alexander S Jureka
- Center for Microbial Pathogenesis, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA
| | - Jesus A Silvas
- Center for Microbial Pathogenesis, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA
| | | | | | | | | | | | - Christopher F Basler
- Center for Microbial Pathogenesis, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA.
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7
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Carlson-Stevermer J, Das A, Abdeen AA, Fiflis D, Grindel BI, Saxena S, Akcan T, Alam T, Kletzien H, Kohlenberg L, Goedland M, Dombroe MJ, Saha K. Design of efficacious somatic cell genome editing strategies for recessive and polygenic diseases. Nat Commun 2020; 11:6277. [PMID: 33293555 PMCID: PMC7722885 DOI: 10.1038/s41467-020-20065-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 11/13/2020] [Indexed: 02/06/2023] Open
Abstract
Compound heterozygous recessive or polygenic diseases could be addressed through gene correction of multiple alleles. However, targeting of multiple alleles using genome editors could lead to mixed genotypes and adverse events that amplify during tissue morphogenesis. Here we demonstrate that Cas9-ribonucleoprotein-based genome editors can correct two distinct mutant alleles within a single human cell precisely. Gene-corrected cells in an induced pluripotent stem cell model of Pompe disease expressed the corrected transcript from both corrected alleles, leading to enzymatic cross-correction of diseased cells. Using a quantitative in silico model for the in vivo delivery of genome editors into the developing human infant liver, we identify progenitor targeting, delivery efficiencies, and suppression of imprecise editing outcomes at the on-target site as key design parameters that control the efficacy of various therapeutic strategies. This work establishes that precise gene editing to correct multiple distinct gene variants could be highly efficacious if designed appropriately.
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Affiliation(s)
- Jared Carlson-Stevermer
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Amritava Das
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
- Morgridge Institute for Research, Madison, WI, USA
| | - Amr A Abdeen
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - David Fiflis
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Benjamin I Grindel
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Shivani Saxena
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Tugce Akcan
- Department of Surgery, University of Wisconsin-Madison, Madison, WI, USA
| | - Tausif Alam
- Department of Surgery, University of Wisconsin-Madison, Madison, WI, USA
| | - Heidi Kletzien
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Lucille Kohlenberg
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - Madelyn Goedland
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Micah J Dombroe
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - Krishanu Saha
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
- Retina Research Foundation Kathryn and Latimer Murfee Chair, Madison, WI, USA.
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8
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Gordon DE, Hiatt J, Bouhaddou M, Rezelj VV, Ulferts S, Braberg H, Jureka AS, Obernier K, Guo JZ, Batra J, Kaake RM, Weckstein AR, Owens TW, Gupta M, Pourmal S, Titus EW, Cakir M, Soucheray M, McGregor M, Cakir Z, Jang G, O'Meara MJ, Tummino TA, Zhang Z, Foussard H, Rojc A, Zhou Y, Kuchenov D, Hüttenhain R, Xu J, Eckhardt M, Swaney DL, Fabius JM, Ummadi M, Tutuncuoglu B, Rathore U, Modak M, Haas P, Haas KM, Naing ZZC, Pulido EH, Shi Y, Barrio-Hernandez I, Memon D, Petsalaki E, Dunham A, Marrero MC, Burke D, Koh C, Vallet T, Silvas JA, Azumaya CM, Billesbølle C, Brilot AF, Campbell MG, Diallo A, Dickinson MS, Diwanji D, Herrera N, Hoppe N, Kratochvil HT, Liu Y, Merz GE, Moritz M, Nguyen HC, Nowotny C, Puchades C, Rizo AN, Schulze-Gahmen U, Smith AM, Sun M, Young ID, Zhao J, Asarnow D, Biel J, Bowen A, Braxton JR, Chen J, Chio CM, Chio US, Deshpande I, Doan L, Faust B, Flores S, Jin M, Kim K, Lam VL, Li F, Li J, Li YL, Li Y, Liu X, Lo M, Lopez KE, Melo AA, Moss FR, Nguyen P, Paulino J, Pawar KI, Peters JK, Pospiech TH, Safari M, Sangwan S, Schaefer K, Thomas PV, Thwin AC, Trenker R, Tse E, Tsui TKM, Wang F, Whitis N, Yu Z, Zhang K, Zhang Y, Zhou F, Saltzberg D, Hodder AJ, Shun-Shion AS, Williams DM, White KM, Rosales R, Kehrer T, Miorin L, Moreno E, Patel AH, Rihn S, Khalid MM, Vallejo-Gracia A, Fozouni P, Simoneau CR, Roth TL, Wu D, Karim MA, Ghoussaini M, Dunham I, Berardi F, Weigang S, Chazal M, Park J, Logue J, McGrath M, Weston S, Haupt R, Hastie CJ, Elliott M, Brown F, Burness KA, Reid E, Dorward M, Johnson C, Wilkinson SG, Geyer A, Giesel DM, Baillie C, Raggett S, Leech H, Toth R, Goodman N, Keough KC, Lind AL, Klesh RJ, Hemphill KR, Carlson-Stevermer J, Oki J, Holden K, Maures T, Pollard KS, Sali A, Agard DA, Cheng Y, Fraser JS, Frost A, Jura N, Kortemme T, Manglik A, Southworth DR, Stroud RM, Alessi DR, Davies P, Frieman MB, Ideker T, Abate C, Jouvenet N, Kochs G, Shoichet B, Ott M, Palmarini M, Shokat KM, García-Sastre A, Rassen JA, Grosse R, Rosenberg OS, Verba KA, Basler CF, Vignuzzi M, Peden AA, Beltrao P, Krogan NJ. Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms. Science 2020; 370:eabe9403. [PMID: 33060197 PMCID: PMC7808408 DOI: 10.1126/science.abe9403] [Citation(s) in RCA: 427] [Impact Index Per Article: 106.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 10/12/2020] [Indexed: 01/18/2023]
Abstract
The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a grave threat to public health and the global economy. SARS-CoV-2 is closely related to the more lethal but less transmissible coronaviruses SARS-CoV-1 and Middle East respiratory syndrome coronavirus (MERS-CoV). Here, we have carried out comparative viral-human protein-protein interaction and viral protein localization analyses for all three viruses. Subsequent functional genetic screening identified host factors that functionally impinge on coronavirus proliferation, including Tom70, a mitochondrial chaperone protein that interacts with both SARS-CoV-1 and SARS-CoV-2 ORF9b, an interaction we structurally characterized using cryo-electron microscopy. Combining genetically validated host factors with both COVID-19 patient genetic data and medical billing records identified molecular mechanisms and potential drug treatments that merit further molecular and clinical study.
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Affiliation(s)
- David E Gordon
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Joseph Hiatt
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA
- Department of Microbiology and Immunology, University of California, San Francisco, CA 94143, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA 94143, USA
| | - Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Veronica V Rezelj
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724, Paris, cedex 15, France
| | - Svenja Ulferts
- Institute for Clinical and Experimental Pharmacology and Toxicology I, University of Freiburg, 79104 Freiburg, Germany
| | - Hannes Braberg
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Alexander S Jureka
- Center for Microbial Pathogenesis, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA
| | - Kirsten Obernier
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Jeffrey Z Guo
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Jyoti Batra
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Robyn M Kaake
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | | | - Tristan W Owens
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Meghna Gupta
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Sergei Pourmal
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Erron W Titus
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Merve Cakir
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Margaret Soucheray
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Michael McGregor
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Zeynep Cakir
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Gwendolyn Jang
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Matthew J O'Meara
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Tia A Tummino
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Ziyang Zhang
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - Helene Foussard
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ajda Rojc
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Dmitry Kuchenov
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ruth Hüttenhain
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Jiewei Xu
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Manon Eckhardt
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Jacqueline M Fabius
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
| | - Manisha Ummadi
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Beril Tutuncuoglu
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ujjwal Rathore
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Maya Modak
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Paige Haas
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Kelsey M Haas
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Zun Zar Chi Naing
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ernst H Pulido
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ying Shi
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Danish Memon
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Eirini Petsalaki
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Alistair Dunham
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Miguel Correa Marrero
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - David Burke
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Cassandra Koh
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724, Paris, cedex 15, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724, Paris, cedex 15, France
| | - Jesus A Silvas
- Center for Microbial Pathogenesis, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA
| | - Caleigh M Azumaya
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Christian Billesbølle
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Axel F Brilot
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Melody G Campbell
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Amy Diallo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Miles Sasha Dickinson
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Devan Diwanji
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Nadia Herrera
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Nick Hoppe
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Huong T Kratochvil
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yanxin Liu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gregory E Merz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michelle Moritz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Henry C Nguyen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Carlos Nowotny
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Cristina Puchades
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Alexandrea N Rizo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ursula Schulze-Gahmen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amber M Smith
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ming Sun
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Beam Therapeutics, Cambridge, MA 02139, USA
| | - Iris D Young
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jianhua Zhao
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Daniel Asarnow
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Justin Biel
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Alisa Bowen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Julian R Braxton
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jen Chen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Cynthia M Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Un Seng Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ishan Deshpande
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Loan Doan
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Bryan Faust
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Sebastian Flores
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Mingliang Jin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kate Kim
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Victor L Lam
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fei Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Junrui Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yen-Li Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Xi Liu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Megan Lo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kyle E Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Arthur A Melo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Frank R Moss
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Phuong Nguyen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Joana Paulino
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Komal Ishwar Pawar
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jessica K Peters
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Thomas H Pospiech
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Maliheh Safari
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Smriti Sangwan
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaitlin Schaefer
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Paul V Thomas
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Aye C Thwin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Raphael Trenker
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Eric Tse
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tsz Kin Martin Tsui
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Feng Wang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Natalie Whitis
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Zanlin Yu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaihua Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fengbo Zhou
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Daniel Saltzberg
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
| | - Anthony J Hodder
- Department of Biomedical Science, Centre for Membrane Interactions and Dynamics, University of Sheffield, Firth Court, Sheffield S10 2TN, UK
| | - Amber S Shun-Shion
- Department of Biomedical Science, Centre for Membrane Interactions and Dynamics, University of Sheffield, Firth Court, Sheffield S10 2TN, UK
| | - Daniel M Williams
- Department of Biomedical Science, Centre for Membrane Interactions and Dynamics, University of Sheffield, Firth Court, Sheffield S10 2TN, UK
| | - Kris M White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Romel Rosales
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Thomas Kehrer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Arvind H Patel
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland, UK
| | - Suzannah Rihn
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland, UK
| | - Mir M Khalid
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | | | - Parinaz Fozouni
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA 94143, USA
| | - Camille R Simoneau
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA 94143, USA
| | - Theodore L Roth
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA
- Department of Microbiology and Immunology, University of California, San Francisco, CA 94143, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA 94143, USA
| | - David Wu
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA 94143, USA
| | - Mohd Anisul Karim
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
- Open Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Maya Ghoussaini
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
- Open Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Ian Dunham
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
- Open Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Francesco Berardi
- Dipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari 'ALDO MORO', Via Orabona, 4 70125, Bari, Italy
| | - Sebastian Weigang
- Institute of Virology, Medical Center-University of Freiburg, 79104 Freiburg, Germany
| | - Maxime Chazal
- Département de Virologie, CNRS UMR 3569, Institut Pasteur, Paris 75015, France
| | - Jisoo Park
- Department of Medicine, University of California, San Diego, CA 92093, USA
| | - James Logue
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Marisa McGrath
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Stuart Weston
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Robert Haupt
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - C James Hastie
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Matthew Elliott
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Fiona Brown
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Kerry A Burness
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Elaine Reid
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Mark Dorward
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Clare Johnson
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Stuart G Wilkinson
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Anna Geyer
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Daniel M Giesel
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Carla Baillie
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Samantha Raggett
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Hannah Leech
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Rachel Toth
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Nicola Goodman
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | | | - Abigail L Lind
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | | | - Kafi R Hemphill
- Department of Neurology, University of California, San Francisco, CA 94143, USA
| | | | - Jennifer Oki
- Synthego Corporation, Redwood City, CA 94063, USA
| | - Kevin Holden
- Synthego Corporation, Redwood City, CA 94063, USA
| | | | - Katherine S Pollard
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Andrej Sali
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
| | - David A Agard
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Yifan Cheng
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - James S Fraser
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
| | - Adam Frost
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Natalia Jura
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA
| | - Tanja Kortemme
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
- The University of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, University of California, San Francisco, CA 94158, USA
| | - Aashish Manglik
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Daniel R Southworth
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Robert M Stroud
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Dario R Alessi
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Paul Davies
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Matthew B Frieman
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Trey Ideker
- Department of Medicine, University of California, San Diego, CA 92093, USA
- Department to Bioengineering, University of California, San Diego, CA 92093, USA
| | - Carmen Abate
- Dipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari 'ALDO MORO', Via Orabona, 4 70125, Bari, Italy
| | - Nolwenn Jouvenet
- Institute of Virology, Medical Center-University of Freiburg, 79104 Freiburg, Germany
- Département de Virologie, CNRS UMR 3569, Institut Pasteur, Paris 75015, France
| | - Georg Kochs
- Institute of Virology, Medical Center-University of Freiburg, 79104 Freiburg, Germany
| | - Brian Shoichet
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Melanie Ott
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Massimo Palmarini
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland, UK
| | - Kevan M Shokat
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Robert Grosse
- Institute for Clinical and Experimental Pharmacology and Toxicology I, University of Freiburg, 79104 Freiburg, Germany.
- Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, 79104 Freiburg, Germany
| | - Oren S Rosenberg
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA.
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Kliment A Verba
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA.
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Christopher F Basler
- Center for Microbial Pathogenesis, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA.
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724, Paris, cedex 15, France.
| | - Andrew A Peden
- Department of Biomedical Science, Centre for Membrane Interactions and Dynamics, University of Sheffield, Firth Court, Sheffield S10 2TN, UK.
| | - Pedro Beltrao
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA.
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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Carlson-Stevermer J, Kelso R, Kadina A, Joshi S, Rossi N, Walker J, Stoner R, Maures T. CRISPRoff enables spatio-temporal control of CRISPR editing. Nat Commun 2020; 11:5041. [PMID: 33028827 PMCID: PMC7542431 DOI: 10.1038/s41467-020-18853-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 09/16/2020] [Indexed: 12/12/2022] Open
Abstract
Following introduction of CRISPR-Cas9 components into a cell, genome editing occurs unabated until degradation of its component nucleic acids and proteins by cellular processes. This uncontrolled reaction can lead to unintended consequences including off-target editing and chromosomal translocations. To address this, we develop a method for light-induced degradation of sgRNA termed CRISPRoff. Here we show that light-induced inactivation of ribonucleoprotein attenuates genome editing within cells and allows for titratable levels of editing efficiency and spatial patterning via selective illumination.
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Affiliation(s)
| | - Reed Kelso
- Synthego Corporation, 3565 Haven Avenue, Menlo Park, CA, 94025, USA
- Freenome, 259 East Grand Ave, South San Francisco, CA, 94080, USA
| | - Anastasia Kadina
- Synthego Corporation, 3565 Haven Avenue, Menlo Park, CA, 94025, USA
| | - Sahil Joshi
- Synthego Corporation, 3565 Haven Avenue, Menlo Park, CA, 94025, USA
| | - Nicholas Rossi
- Synthego Corporation, 3565 Haven Avenue, Menlo Park, CA, 94025, USA
| | - John Walker
- Synthego Corporation, 3565 Haven Avenue, Menlo Park, CA, 94025, USA
| | - Rich Stoner
- Synthego Corporation, 3565 Haven Avenue, Menlo Park, CA, 94025, USA
| | - Travis Maures
- Synthego Corporation, 3565 Haven Avenue, Menlo Park, CA, 94025, USA
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10
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Wang R, Simoneau CR, Kulsuptrakul J, Bouhaddou M, Travisano K, Hayashi JM, Carlson-Stevermer J, Oki J, Holden K, Krogan NJ, Ott M, Puschnik AS. Functional genomic screens identify human host factors for SARS-CoV-2 and common cold coronaviruses. bioRxiv 2020:2020.09.24.312298. [PMID: 32995787 PMCID: PMC7523113 DOI: 10.1101/2020.09.24.312298] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The Coronaviridae are a family of viruses that causes disease in humans ranging from mild respiratory infection to potentially lethal acute respiratory distress syndrome. Finding host factors that are common to multiple coronaviruses could facilitate the development of therapies to combat current and future coronavirus pandemics. Here, we conducted parallel genome-wide CRISPR screens in cells infected by SARS-CoV-2 as well as two seasonally circulating common cold coronaviruses, OC43 and 229E. This approach correctly identified the distinct viral entry factors ACE2 (for SARS-CoV-2), aminopeptidase N (for 229E) and glycosaminoglycans (for OC43). Additionally, we discovered phosphatidylinositol phosphate biosynthesis and cholesterol homeostasis as critical host pathways supporting infection by all three coronaviruses. By contrast, the lysosomal protein TMEM106B appeared unique to SARS-CoV-2 infection. Pharmacological inhibition of phosphatidylinositol phosphate biosynthesis and cholesterol homeostasis reduced replication of all three coronaviruses. These findings offer important insights for the understanding of the coronavirus life cycle as well as the potential development of host-directed therapies.
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Affiliation(s)
- Ruofan Wang
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
| | | | | | - Mehdi Bouhaddou
- Gladstone Institutes, San Francisco, CA 94158, USA
- University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA
- University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | | | | | | | | | | | - Nevan J. Krogan
- Gladstone Institutes, San Francisco, CA 94158, USA
- University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA
- University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Melanie Ott
- Gladstone Institutes, San Francisco, CA 94158, USA
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11
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Molugu K, Harkness T, Carlson-Stevermer J, Prestil R, Piscopo NJ, Seymour SK, Knight GT, Ashton RS, Saha K. Tracking and Predicting Human Somatic Cell Reprogramming Using Nuclear Characteristics. Biophys J 2019; 118:2086-2102. [PMID: 31699335 DOI: 10.1016/j.bpj.2019.10.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 10/11/2019] [Accepted: 10/15/2019] [Indexed: 02/06/2023] Open
Abstract
Reprogramming of human somatic cells to induced pluripotent stem cells (iPSCs) generates valuable resources for disease modeling, toxicology, cell therapy, and regenerative medicine. However, the reprogramming process can be stochastic and inefficient, creating many partially reprogrammed intermediates and non-reprogrammed cells in addition to fully reprogrammed iPSCs. Much of the work to identify, evaluate, and enrich for iPSCs during reprogramming relies on methods that fix, destroy, or singularize cell cultures, thereby disrupting each cell's microenvironment. Here, we develop a micropatterned substrate that allows for dynamic live-cell microscopy of hundreds of cell subpopulations undergoing reprogramming while preserving many of the biophysical and biochemical cues within the cells' microenvironment. On this substrate, we were able to both watch and physically confine cells into discrete islands during the reprogramming of human somatic cells from skin biopsies and blood draws obtained from healthy donors. Using high-content analysis, we identified a combination of eight nuclear characteristics that can be used to generate a computational model to predict the progression of reprogramming and distinguish partially reprogrammed cells from those that are fully reprogrammed. This approach to track reprogramming in situ using micropatterned substrates could aid in biomanufacturing of therapeutically relevant iPSCs and be used to elucidate multiscale cellular changes (cell-cell interactions as well as subcellular changes) that accompany human cell fate transitions.
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Affiliation(s)
- Kaivalya Molugu
- Graduate Program in Biophysics, University of Wisconsin-Madison, Madison, Wisconsin; Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin
| | - Ty Harkness
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin
| | - Jared Carlson-Stevermer
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin
| | - Ryan Prestil
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin
| | - Nicole J Piscopo
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin
| | - Stephanie K Seymour
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin
| | - Gavin T Knight
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin
| | - Randolph S Ashton
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin
| | - Krishanu Saha
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin.
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12
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Sun J, Carlson-Stevermer J, Das U, Shen M, Delenclos M, Snead AM, Koo SY, Wang L, Qiao D, Loi J, Petersen AJ, Stockton M, Bhattacharyya A, Jones MV, Zhao X, McLean PJ, Sproul AA, Saha K, Roy S. CRISPR/Cas9 editing of APP C-terminus attenuates β-cleavage and promotes α-cleavage. Nat Commun 2019; 10:53. [PMID: 30604771 PMCID: PMC6318289 DOI: 10.1038/s41467-018-07971-8] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 12/06/2018] [Indexed: 12/11/2022] Open
Abstract
CRISPR/Cas9 guided gene-editing is a potential therapeutic tool, however application to neurodegenerative disease models has been limited. Moreover, conventional mutation correction by gene-editing would only be relevant for the small fraction of neurodegenerative cases that are inherited. Here we introduce a CRISPR/Cas9-based strategy in cell and animal models to edit endogenous amyloid precursor protein (APP) at the extreme C-terminus and reciprocally manipulate the amyloid pathway, attenuating APP-β-cleavage and Aβ production, while up-regulating neuroprotective APP-α-cleavage. APP N-terminus and compensatory APP-homologues remain intact, with no apparent effects on neurophysiology in vitro. Robust APP-editing is seen in human iPSC-derived neurons and mouse brains with no detectable off-target effects. Our strategy likely works by limiting APP and BACE-1 approximation, and we also delineate mechanistic events that abrogates APP/BACE-1 convergence in this setting. Our work offers conceptual proof for a selective APP silencing strategy. Gene editing strategies are typically designed to correct mutant genes, but most neurodegenerative diseases are sporadic. Here the authors describe a strategy to selectively edit the C-terminus of APP and attenuate amyloid-β production, while upregulating neuroprotective α-cleavage.
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Affiliation(s)
- Jichao Sun
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA
| | - Jared Carlson-Stevermer
- Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, WI, 53706, USA.,Wisconsin Institute for Discovery, University of Wisconsin-Madison, 330 N. Orchard, Madison, WI, 53715, USA
| | - Utpal Das
- Department of Neuroscience, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA
| | - Minjie Shen
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI, 53705, USA
| | - Marion Delenclos
- Department of Neuroscience, Mayo Clinic Jacksonville, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA
| | - Amanda M Snead
- Taub Institute for Research on Alzheimer's and the Aging Brain, Columbia University Medical Center, 630W 168th St, New York, NY, 10032, USA
| | - So Yeon Koo
- Taub Institute for Research on Alzheimer's and the Aging Brain, Columbia University Medical Center, 630W 168th St, New York, NY, 10032, USA
| | - Lina Wang
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA
| | - Dianhua Qiao
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA
| | - Jonathan Loi
- Department of Neuroscience, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA
| | - Andrew J Petersen
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI, 53705, USA
| | - Michael Stockton
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI, 53705, USA
| | - Anita Bhattacharyya
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI, 53705, USA
| | - Mathew V Jones
- Department of Neuroscience, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA
| | - Xinyu Zhao
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI, 53705, USA.,Department of Neuroscience, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA
| | - Pamela J McLean
- Department of Neuroscience, Mayo Clinic Jacksonville, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA
| | - Andrew A Sproul
- Taub Institute for Research on Alzheimer's and the Aging Brain, Columbia University Medical Center, 630W 168th St, New York, NY, 10032, USA.,Department of Pathology and Cell Biology, Columbia University Medical Center, 630W 168th St, New York, NY, 10032, USA
| | - Krishanu Saha
- Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, WI, 53706, USA.,Wisconsin Institute for Discovery, University of Wisconsin-Madison, 330 N. Orchard, Madison, WI, 53715, USA
| | - Subhojit Roy
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA. .,Department of Neuroscience, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA.
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13
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Abstract
New gene editing tools like CRISPR-Cas9 enable precision genome engineering within cell lines, primary cells, and model organisms, with some formulations now entering the clinic. "Precision" applies to various aspects of gene editing, and can be tailored for each application. Here we review recent advances in four types of precision in gene editing: 1) increased DNA cutting precision (e.g., on-target:off-target nuclease specificity), 2) increased on-target knock-in of sequence variants and transgenes (e.g., increased homology-directed repair), 3) increased transcriptional control of edited genes, and 4) increased specificity in delivery to a specific cell or tissue. Design of next-generation gene and cell therapies will likely exploit a combination of these advances.
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Affiliation(s)
- Katherine Mueller
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Jared Carlson-Stevermer
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Krishanu Saha
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53715, USA
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14
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Sun J, Carlson-Stevermer J, Das U, Shen M, Wang L, Loi J, Petersen A, Stockton M, Delenclos M, McLean P, Bhattacharyya A, Jones M, Zhao X, Saha K, Roy S. O5‐05‐01: A CRISPR/CAS9 BASED STRATEGY TO ATTENUATE THE β‐AMYLOID PATHWAY. Alzheimers Dement 2018. [DOI: 10.1016/j.jalz.2018.06.3019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Jichao Sun
- University of Wisconsin MadisonMadisonWIUSA
| | | | - Utpal Das
- University of California San DiegoLa JollaCAUSA
| | | | - Lina Wang
- University of Wisconsin MadisonMadisonWIUSA
| | - Jon Loi
- University of Wisconsin MadisonMadisonWIUSA
| | | | | | | | | | | | | | - Xinyu Zhao
- University of Wisconsin MadisonMadisonWIUSA
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15
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Carlson-Stevermer J, Abdeen AA, Kohlenberg L, Goedland M, Molugu K, Lou M, Saha K. Assembly of CRISPR ribonucleoproteins with biotinylated oligonucleotides via an RNA aptamer for precise gene editing. Nat Commun 2017; 8:1711. [PMID: 29167458 PMCID: PMC5700129 DOI: 10.1038/s41467-017-01875-9] [Citation(s) in RCA: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Accepted: 10/23/2017] [Indexed: 12/26/2022] Open
Abstract
Writing specific DNA sequences into the human genome is challenging with non-viral gene-editing reagents, since most of the edited sequences contain various imprecise insertions or deletions. We developed a modular RNA aptamer-streptavidin strategy, termed S1mplex, to complex CRISPR-Cas9 ribonucleoproteins with a nucleic acid donor template, as well as other biotinylated molecules such as quantum dots. In human cells, tailored S1mplexes increase the ratio of precisely edited to imprecisely edited alleles up to 18-fold higher than standard gene-editing methods, and enrich cell populations containing multiplexed precise edits up to 42-fold. These advances with versatile, preassembled reagents could greatly reduce the time and cost of in vitro or ex vivo gene-editing applications in precision medicine and drug discovery and aid in the development of increased and serial dosing regimens for somatic gene editing in vivo. Using CRISPR to write specific genetic sequences can sometimes be difficult due to the preference of mammalian cells to repair breaks using NHEJ. Here the authors form nanoparticles to localize the template sequence to the nuclease, shifting repair in favor of HDR.
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Affiliation(s)
- Jared Carlson-Stevermer
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Amr A Abdeen
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - Lucille Kohlenberg
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - Madelyn Goedland
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaivalya Molugu
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - Meng Lou
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - Krishanu Saha
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA. .,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
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16
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Carlson-Stevermer J, Goedland M, Steyer B, Movaghar A, Lou M, Kohlenberg L, Prestil R, Saha K. High-Content Analysis of CRISPR-Cas9 Gene-Edited Human Embryonic Stem Cells. Stem Cell Reports 2016; 6:109-20. [PMID: 26771356 PMCID: PMC4720027 DOI: 10.1016/j.stemcr.2015.11.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2015] [Revised: 11/27/2015] [Accepted: 11/27/2015] [Indexed: 11/26/2022] Open
Abstract
CRISPR-Cas9 gene editing of human cells and tissues holds much promise to advance medicine and biology, but standard editing methods require weeks to months of reagent preparation and selection where much or all of the initial edited samples are destroyed during analysis. ArrayEdit, a simple approach utilizing surface-modified multiwell plates containing one-pot transcribed single-guide RNAs, separates thousands of edited cell populations for automated, live, high-content imaging and analysis. The approach lowers the time and cost of gene editing and produces edited human embryonic stem cells at high efficiencies. Edited genes can be expressed in both pluripotent stem cells and differentiated cells. This preclinical platform adds important capabilities to observe editing and selection in situ within complex structures generated by human cells, ultimately enabling optical and other molecular perturbations in the editing workflow that could refine the specificity and versatility of gene editing. High-content analysis of arrayed hESC colonies increased gene-editing efficiency Rapid one-pot transcription of sgRNAs can be multiplexed to edit hESCs hESCs gene edited on ArrayEdit exhibited proper phenotypes ArrayEdit provides a new window into the process of gene editing human cells
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Affiliation(s)
- Jared Carlson-Stevermer
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Madelyn Goedland
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Benjamin Steyer
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Arezoo Movaghar
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Meng Lou
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Lucille Kohlenberg
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Ryan Prestil
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA
| | - Krishanu Saha
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53715, USA; Department of Medical History and Bioethics, University of Wisconsin-Madison, Madison, WI 53715, USA.
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17
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Steyer B, Carlson-Stevermer J, Angenent-Mari N, Khalil A, Harkness T, Saha K. 335. High Content Analysis Platform for Optimization of Lipid Mediated CRISPR-Cas9 Delivery Strategies in Human Cells. Mol Ther 2016. [DOI: 10.1016/s1525-0016(16)33144-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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18
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Carlson-Stevermer J, Goedland M, Steyer B, Movaghar A, Lou M, Kohlenberg L, Prestil R, Saha K. 575. High Content Analysis of CRISPR-Cas9 Gene-Edited Human Embryonic Stem Cells. Mol Ther 2016. [DOI: 10.1016/s1525-0016(16)33383-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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19
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Steyer B, Carlson-Stevermer J, Angenent-Mari N, Khalil A, Harkness T, Saha K. High content analysis platform for optimization of lipid mediated CRISPR-Cas9 delivery strategies in human cells. Acta Biomater 2016; 34:143-158. [PMID: 26747759 PMCID: PMC4961091 DOI: 10.1016/j.actbio.2015.12.036] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Revised: 11/25/2015] [Accepted: 12/29/2015] [Indexed: 01/08/2023]
Abstract
Non-viral gene-editing of human cells using the CRISPR-Cas9 system requires optimized delivery of multiple components. Both the Cas9 endonuclease and a single guide RNA, that defines the genomic target, need to be present and co-localized within the nucleus for efficient gene-editing to occur. This work describes a new high-throughput screening platform for the optimization of CRISPR-Cas9 delivery strategies. By exploiting high content image analysis and microcontact printed plates, multi-parametric gene-editing outcome data from hundreds to thousands of isolated cell populations can be screened simultaneously. Employing this platform, we systematically screened four commercially available cationic lipid transfection materials with a range of RNAs encoding the CRISPR-Cas9 system. Analysis of Cas9 expression and editing of a fluorescent mCherry reporter transgene within human embryonic kidney cells was monitored over several days after transfection. Design of experiments analysis enabled rigorous evaluation of delivery materials and RNA concentration conditions. The results of this analysis indicated that the concentration and identity of transfection material have significantly greater effect on gene-editing than ratio or total amount of RNA. Cell subpopulation analysis on microcontact printed plates, further revealed that low cell number and high Cas9 expression, 24h after CRISPR-Cas9 delivery, were strong predictors of gene-editing outcomes. These results suggest design principles for the development of materials and transfection strategies with lipid-based materials. This platform could be applied to rapidly optimize materials for gene-editing in a variety of cell/tissue types in order to advance genomic medicine, regenerative biology and drug discovery. STATEMENT OF SIGNIFICANCE CRISPR-Cas9 is a new gene-editing technology for "genome surgery" that is anticipated to treat genetic diseases. This technology uses multiple components of the Cas9 system to cut out disease-causing mutations in the human genome and precisely suture in therapeutic sequences. Biomaterials based delivery strategies could help transition these technologies to the clinic. The design space for materials based delivery strategies is vast and optimization is essential to ensuring the safety and efficacy of these treatments. Therefore, new methods are required to rapidly and systematically screen gene-editing efficacy in human cells. This work utilizes an innovative platform to generate and screen many formulations of synthetic biomaterials and components of the CRISPR-Cas9 system in parallel. On this platform, we watch genome surgery in action using high content image analysis. These capabilities enabled us to identify formulation parameters for Cas9-material complexes that can optimize gene-editing in a specific human cell type.
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Affiliation(s)
- Benjamin Steyer
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - Jared Carlson-Stevermer
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Nicolas Angenent-Mari
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Andrew Khalil
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Ty Harkness
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Krishanu Saha
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA; Department of Medical History and Bioethics, University of Wisconsin-Madison, Madison, WI, USA.
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20
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Cordie T, Harkness T, Jing X, Carlson-Stevermer J, Mi HY, Turng LS, Saha K. Nanofibrous Electrospun Polymers for Reprogramming Human Cells. Cell Mol Bioeng 2014. [DOI: 10.1007/s12195-014-0341-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
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