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Global BioID-based SARS-CoV-2 proteins proximal interactome unveils novel ties between viral polypeptides and host factors involved in multiple COVID19-associated mechanisms
Estelle MN Laurent; Yorgos Sofianatos; Anastassia Komarova; Jean-Pascal Gimeno; Payman Samavarchi Tehrani; Dae-Kyum Kim; Hala Abdouni; Marie Duhamel; Patricia Cassonnet; Jennifer J Knapp; Da Kuang; Aditya Chawla; Dayag Sheykhkarimli; Ashyad Rayhan; Roujia Li; Oxana Pogoutse; David E Hill; Mike E Calderwood; Pascal Falter-Braun; Patrick Aloy; Ulrich Stelzl; Marc Vidal; Anne-Claude Gingras; Georgios A Pavlopoulos; Sylvie Van Der Werf; Isabelle Fournier; Frederick P Roth; Michel Salzet; Caroline Demeret; Yves Jacob; Etienne Coyaud.
Affiliation
  • Estelle MN Laurent; Univ. Lille, Inserm, CHU Lille, U1192 - Proteomique Reponse Inflammatoire Spectrometrie de Masse - PRISM, F-59000 Lille, France
  • Yorgos Sofianatos; Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", 34 Fleming Street, 16672, Vari, Greece
  • Anastassia Komarova; Departement de Virologie, Unite de Genetique Moleculaire des Virus a ARN (GMVR), Institut Pasteur, UMR3569, Centre National de la Recherche Scientifique (CNRS),
  • Jean-Pascal Gimeno; Univ. Lille, Inserm, CHU Lille, U1192 - Proteomique Reponse Inflammatoire Spectrometrie de Masse - PRISM, F-59000 Lille, France
  • Payman Samavarchi Tehrani; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
  • Dae-Kyum Kim; Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto and Lunenfeld-Tanenbaum Research Institute, Sinai Health Syste
  • Hala Abdouni; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
  • Marie Duhamel; Univ. Lille, Inserm, CHU Lille, U1192 - Proteomique Reponse Inflammatoire Spectrometrie de Masse - PRISM, F-59000 Lille, France
  • Patricia Cassonnet; Departement de Virologie, Unite de Genetique Moleculaire des Virus a ARN (GMVR), Institut Pasteur, UMR3569, Centre National de la Recherche Scientifique (CNRS),
  • Jennifer J Knapp; Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto and Lunenfeld-Tanenbaum Research Institute, Sinai Health Syste
  • Da Kuang; Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto and Lunenfeld-Tanenbaum Research Institute, Sinai Health Syste
  • Aditya Chawla; Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto and Lunenfeld-Tanenbaum Research Institute, Sinai Health Syste
  • Dayag Sheykhkarimli; Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto and Lunenfeld-Tanenbaum Research Institute, Sinai Health Syste
  • Ashyad Rayhan; Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto and Lunenfeld-Tanenbaum Research Institute, Sinai Health Syste
  • Roujia Li; Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto and Lunenfeld-Tanenbaum Research Institute, Sinai Health Syste
  • Oxana Pogoutse; Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto and Lunenfeld-Tanenbaum Research Institute, Sinai Health Syste
  • David E Hill; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatni
  • Mike E Calderwood; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatni
  • Pascal Falter-Braun; Institute of Network Biology (INET), Helmholtz Center Munich, German Research Center for Environmental Health, Munich-Neuherberg, Germany and Microbe-Host Inter
  • Patrick Aloy; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac 10-12, 08020 Barcelona, Catalonia, Spai
  • Ulrich Stelzl; Department of Pharmaceutical Chemistry, Institute of Pharmaceutical Sciences, University of Graz and BioTechMed-Graz, Graz, Austria
  • Marc Vidal; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatni
  • Anne-Claude Gingras; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
  • Georgios A Pavlopoulos; Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", 34 Fleming Street, 16672, Vari, Greece
  • Sylvie Van Der Werf; Departement de Virologie, Unite de Genetique Moleculaire des Virus a ARN (GMVR), Institut Pasteur, UMR3569, Centre National de la Recherche Scientifique (CNRS),
  • Isabelle Fournier; Univ. Lille, Inserm, CHU Lille, U1192 - Proteomique Reponse Inflammatoire Spectrometrie de Masse - PRISM, F-59000 Lille, France
  • Frederick P Roth; Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto and Lunenfeld-Tanenbaum Research Institute, Sinai Health Syste
  • Michel Salzet; Univ. Lille, Inserm, CHU Lille, U1192 - Proteomique Reponse Inflammatoire Spectrometrie de Masse - PRISM, F-59000 Lille, France
  • Caroline Demeret; Departement de Virologie, Unite de Genetique Moleculaire des Virus a ARN (GMVR), Institut Pasteur, UMR3569, Centre National de la Recherche Scientifique (CNRS),
  • Yves Jacob; Departement de Virologie, Unite de Genetique Moleculaire des Virus a ARN (GMVR), Institut Pasteur, UMR3569, Centre National de la Recherche Scientifique (CNRS),
  • Etienne Coyaud; Univ. Lille, Inserm, CHU Lille, U1192 - Proteomique Reponse Inflammatoire Spectrometrie de Masse - PRISM, F-59000 Lille, France
Preprint in English | bioRxiv | ID: ppbiorxiv-272955
ABSTRACT
The worldwide SARS-CoV-2 outbreak poses a serious challenge to human societies and economies. SARS-CoV-2 proteins orchestrate complex pathogenic mechanisms that underlie COVID-19 disease. Thus, understanding how viral polypeptides rewire host protein networks enables better-founded therapeutic research. In complement to existing proteomic studies, in this study we define the first proximal interaction network of SARS-CoV-2 proteins, at the whole proteome level in human cells. Applying a proximity-dependent biotinylation (BioID)-based approach greatly expanded the current knowledge by detecting interactions within poorly soluble compartments, transient, and/or of weak affinity in living cells. Our BioID study was complemented by a stringent filtering and uncovered 2,128 unique cellular targets (1,717 not previously associated with SARS-CoV-1 or 2 proteins) connected to the N- and C-ter BioID-tagged 28 SARS-CoV-2 proteins by a total of 5,415 (5,236 new) proximal interactions. In order to facilitate data exploitation, an innovative interactive 3D web interface was developed to allow customized analysis and exploration of the landscape of interactions (accessible at http//www.sars-cov-2-interactome.org/). Interestingly, 342 membrane proteins including interferon and interleukin pathways factors, were associated with specific viral proteins. We uncovered ORF7a and ORF7b protein proximal partners that could be related to anosmia and ageusia symptoms. Moreover, comparing proximal interactomes in basal and infection-mimicking conditions (poly(IC) treatment) allowed us to detect novel links with major antiviral response pathway components, such as ORF9b with MAVS and ISG20; N with PKR and TARB2; NSP2 with RIG-I and STAT1; NSP16 with PARP9-DTX3L. Altogether, our study provides an unprecedented comprehensive resource for understanding how SARS-CoV-2 proteins orchestrate host proteome remodeling and innate immune response evasion, which can inform development of targeted therapeutic strategies.
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Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2020 Document type: Preprint
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