A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins.
Danielle G MayLaura Martin-SanchoValesca AnschauSophie LiuRachel J ChrisopulosKelsey L ScottCharles T HalfmannRamon Díaz PeñaDexter PrattAlexandre R CamposKyle J RouxPublished in: Viruses (2022)
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.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- induced apoptosis
- cell cycle arrest
- healthcare
- single cell
- mental health
- small molecule
- signaling pathway
- cell death
- endoplasmic reticulum stress
- stem cells
- machine learning
- risk assessment
- genome wide
- deep learning
- artificial intelligence
- data analysis
- pluripotent stem cells