Fig. 1

Cellular composition of the PBMCs in patients with COVID-19 and controls. a Brief summary of the samples for scRNA sequencing and the study design. The detailed information of the samples is shown in Table S1. b Integration analysis results of patients with COVID-19 and normal controls showing principal component (PC) and TSNE algorithm visualization. No beach effect was observed between the samples. c Eight main PBMC cell types identified by known cell markers. d Integration analysis results of patients with COVID-19 and normal controls showing principal component (PC), TSNE algorithm, and UMAP algorithm visualization. In total, 30 cell subtypes were identified in PBMC. e Composition of the ratios of the main cell type compositions of PBMC comparing each of the patients to normal controls. The proportion of each cell type in each sample was calculated and then compare the proportion of each cell type between cases and controls (for control samples, the mean proportion of three control samples was used for comparing). f The gene expression heatmap of the top 30 genes for each cell subtype. g Composition of the ratios of all the 30 cell subtype compositions of PBMC comparing each patient to normal controls. The proportion of each cell subtype in each sample was calculated and then compare the proportion of each cell subtype between cases and controls (for control samples, the mean proportion of three control samples was used for comparing)