Fig. 1
Single-Cell transcriptomic profiling reveals B cell characterization in convalescent COVID-19 patients. a Experiment workflow for scRNA-seq, scVDJ-seq and LIBRA-seq, including the dominant BCR clonotype, public antibody clonotypes and functional characterization. b Principal component analysis (PCA) and t-distributed stochastic neighbor embedding (tSNE) separates cells into 14 clusters by gene expression profile. The numbers in the brackets are the corresponding clusters for each cell type. c Expression levels of cell typing marker genes are shown with violin plots in five B cell subgroups. The rows represent different B cell subgroups and the columns represent the expression levels of selected marker genes. d Heatmap showing the cell marker genes by five B cell subgroups (memory B cells, naive B cells, Exprelow B cells, plasma cells and activated memory B cells) among five COVID-19 patients (CV1, CV2, CV3, CV4 and CV5). e Volcano plot depiction of differentially expressed genes (DEGs) between memory B cells and activated memory B cells. DEGs (p-adjusted < 0.05) with a | log2(fold change) | of more than 0.5 are indicated in blue(memory) and red (activated memory). f Volcano plot depiction of differentially expressed genes between plasma cells and activated memory B cells. DEGs (p-adjusted < 0.05) with a | log2(fold change) | of more than 0.5 are indicated in blue (plasma cells) and red (activated memory). g Volcano plot depiction of differentially expressed genes between plasma cells and memory B cells. DEGs (p-adjusted < 0.05) with a | log2(fold change) | of more than 0.5 are indicated in blue (plasma cells) and red (memory)
