Skip to main content
. 2020 Aug 6;11:3924. doi: 10.1038/s41467-020-17834-w

Fig. 2. A unique monocyte subpopulation contributes to inflammatory storms in severe-stage COVID-19 patients.

Fig. 2

a UMAP plot showing three clusters of CD14+ monocytes and 1 cluster of CD16+ monocytes. Cells are colour-coded by clusters. b Bar plot of the proportion of monocytes in cluster 9 at the severe and remission stages and in healthy control individuals. Source data are provided as a Source Data file. c Heatmap of differentially expressed genes (DEGs) in monocytes from the pairwise comparison between the severe-stage patients, remission-stage patients, and healthy control individuals. d UMAP plots showing the expression of selected cytokines in all monocyte clusters. e, f Box plots of the average expression of genes involved in the signalling pathways regulation of acute inflammatory response (e) and cell chemotaxis (f) in monocytes from the severe stage (n = 912 cells) and remission stage (n = 678 cells) and in healthy control individuals (n = 9719 cells). Centre line, median; box limits, upper and lower quartiles; whiskers, 1.5x interquartile range; points, outliers; P values were calculated using two-sided Wilcoxon rank-sum tests. Source data are provided as a Source Data file. g Heatmap of the area under the curve (AUC) scores of expression regulation by transcription factors (TFs), as estimated using SCENIC. The top-ranked TFs showing the highest difference in expression regulation estimates in monocytes from severe-stage COVID-19 patients are shown. h UMAP plots showing the expression of the ATF3, NFIL3, and HIVEP2 genes in monocytes (top) and the AUC of the estimated regulon activity of the corresponding TFs, predicting the degree of expression regulation of their target genes (bottom).