Fig. 3: Comparative analysis of LOF screens reveals cell type-specific host factor landscapes of SARS-CoV-2. | Nature Genetics

Fig. 3: Comparative analysis of LOF screens reveals cell type-specific host factor landscapes of SARS-CoV-2.

From: Genome-wide bidirectional CRISPR screens identify mucins as host factors modulating SARS-CoV-2 infection

Fig. 3

a, Correlation plots of top 500 hits ranked by RRA score from this study and previously reported SARS-CoV-2 KO screens performed in different cell lines. Plots are color-coded by cell line. Black: Calu-3 (human epithelial lung adenocarcinoma cell line), blue: Huh7.5 and Huh7.5.1ACE2/TMPRSS2 (human hepatocyte-derived cell lines), red: A549ACE2 (ACE2-overexpressing human lung adenocarcinoma cell line), yellow: Vero E6 (African Green Monkey kidney epithelial cell line). The top three overlapping genes with the lowest sum of rank position are displayed. b, Heat map indicating screen rank of key SARS-CoV-2 entry factors (left) and all other top 500 ranked hits present in at least three screens (right). Matrix (right) denotes cell line properties. c, Top 100 hits across LOF screens ranked by their expression levels in lung epithelial cells from COVID-19 patient BALF scRNA-seq data from Liao et al.42. d, Top 100 hits across LOF screens ranked by area under the curve (AUC) value for ACE2+TMPRSS2+ ciliated human lung epithelial cells based on scRNA-seq meta-analysis, data from Muus et al.43. e, Top 100 hits across LOF screens ranked based on differential expression in lung epithelial cells from COVID-19 patients compared to healthy individuals, data from Liao et al.42. DEG, differentially expressed genes.

Back to article page