
Quantitative proteomics can provide a comprehensive, unbiased description of cell changes caused by viral infection. Still, interpretation may be complicated by differential changes in infected and uninfected 'bystander' cells or non-physiological cellular models. The data provide a detailed proteomic map of changes in SARS-CoV-2-infected respiratory epithelial cells in two widely used, physiologically relevant infection models. As well as identifying dysregulated cellular proteins and processes, the effectiveness of strategies employed by SARS-CoV-2 to avoid the type I IFN response is illustrated in both models.
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