Abstract
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.
Keywords: BioID; COVID-19; SARS-CoV-2; TurboID; interactome; proximity labeling.
【저자키워드】 COVID-19, SARS-CoV-2, interactome, BioID, TurboID, proximity labeling., 【초록키워드】 Pathogenesis, antivirals, COVID-19 pandemic, Viral proteins, Proteins, lung cancer, Novel coronavirus, Protein, Health, cells, human lung, understanding, Follow-up, interactome, proteome, mechanism, proteomic, association, cellular, Interaction, Analysis, SARS-CoV-2 proteins, host cells, host cell, antiviral therapies, website, novel coronavirus SARS-CoV-2, SARS-CoV-2 biology, drug library, valuable resource, cellular pathway, labeling, Functional enrichment analyses, Host, Cell, SARS-CoV-2 viral, responsible, identify, was used, caused, reported, expressing, assist, enrichment analysis, the SARS-CoV-2,