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A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins
The novel coronavirus SARS-CoV-2 is responsible for the ongoing COVID-19 pandemic and has caused a major health and economic burden worldwide. Understanding how SARS-CoV-2 viral proteins behave in host cells can reveal underlying mechanisms of pathogenesis and assist in development of antiviral ther...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951556/ https://www.ncbi.nlm.nih.gov/pubmed/35337019 http://dx.doi.org/10.3390/v14030611 |
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author | May, Danielle G. Martin-Sancho, Laura Anschau, Valesca Liu, Sophie Chrisopulos, Rachel J. Scott, Kelsey L. Halfmann, Charles T. Díaz Peña, Ramon Pratt, Dexter Campos, Alexandre R. Roux, Kyle J. |
author_facet | May, Danielle G. Martin-Sancho, Laura Anschau, Valesca Liu, Sophie Chrisopulos, Rachel J. Scott, Kelsey L. Halfmann, Charles T. Díaz Peña, Ramon Pratt, Dexter Campos, Alexandre R. Roux, Kyle J. |
author_sort | May, Danielle G. |
collection | PubMed |
description | The novel coronavirus SARS-CoV-2 is responsible for the ongoing COVID-19 pandemic and has caused a major health and economic burden worldwide. Understanding how SARS-CoV-2 viral proteins behave in host cells can reveal underlying mechanisms of pathogenesis and assist in development of antiviral therapies. Here, the cellular impact of expressing SARS-CoV-2 viral proteins was studied by global proteomic analysis, and proximity biotinylation (BioID) was used to map the SARS-CoV-2 virus–host interactome in human lung cancer-derived cells. Functional enrichment analyses revealed previously reported and unreported cellular pathways that are associated with SARS-CoV-2 proteins. We have established a website to host the proteomic data to allow for public access and continued analysis of host–viral protein associations and whole-cell proteomes of cells expressing the viral–BioID fusion proteins. Furthermore, we identified 66 high-confidence interactions by comparing this study with previous reports, providing a strong foundation for future follow-up studies. Finally, we cross-referenced candidate interactors with the CLUE drug library to identify potential therapeutics for drug-repurposing efforts. Collectively, these studies provide a valuable resource to uncover novel SARS-CoV-2 biology and inform development of antivirals. |
format | Online Article Text |
id | pubmed-8951556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89515562022-03-26 A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins May, Danielle G. Martin-Sancho, Laura Anschau, Valesca Liu, Sophie Chrisopulos, Rachel J. Scott, Kelsey L. Halfmann, Charles T. Díaz Peña, Ramon Pratt, Dexter Campos, Alexandre R. Roux, Kyle J. Viruses Article The novel coronavirus SARS-CoV-2 is responsible for the ongoing COVID-19 pandemic and has caused a major health and economic burden worldwide. Understanding how SARS-CoV-2 viral proteins behave in host cells can reveal underlying mechanisms of pathogenesis and assist in development of antiviral therapies. Here, the cellular impact of expressing SARS-CoV-2 viral proteins was studied by global proteomic analysis, and proximity biotinylation (BioID) was used to map the SARS-CoV-2 virus–host interactome in human lung cancer-derived cells. Functional enrichment analyses revealed previously reported and unreported cellular pathways that are associated with SARS-CoV-2 proteins. We have established a website to host the proteomic data to allow for public access and continued analysis of host–viral protein associations and whole-cell proteomes of cells expressing the viral–BioID fusion proteins. Furthermore, we identified 66 high-confidence interactions by comparing this study with previous reports, providing a strong foundation for future follow-up studies. Finally, we cross-referenced candidate interactors with the CLUE drug library to identify potential therapeutics for drug-repurposing efforts. Collectively, these studies provide a valuable resource to uncover novel SARS-CoV-2 biology and inform development of antivirals. MDPI 2022-03-15 /pmc/articles/PMC8951556/ /pubmed/35337019 http://dx.doi.org/10.3390/v14030611 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article May, Danielle G. Martin-Sancho, Laura Anschau, Valesca Liu, Sophie Chrisopulos, Rachel J. Scott, Kelsey L. Halfmann, Charles T. Díaz Peña, Ramon Pratt, Dexter Campos, Alexandre R. Roux, Kyle J. A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins |
title | A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins |
title_full | A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins |
title_fullStr | A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins |
title_full_unstemmed | A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins |
title_short | A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins |
title_sort | bioid-derived proximity interactome for sars-cov-2 proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951556/ https://www.ncbi.nlm.nih.gov/pubmed/35337019 http://dx.doi.org/10.3390/v14030611 |
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