Fig. 1
From: Severity-specific immune landscape of COVID-19 revealed by single-cell sequencing

Single-cell sequencing data analysis of peripheral blood mononuclear cells from COVID-19 patients. (A) Specific information of the experimental individuals. (B) t-SNE representation of PBMCs from all experimental samples (n = 9), colored by manually annotated cell types. (C) t-SNE representations of PBMCs from mild (n = 2), moderate (n = 2) and severe (n = 5) samples respectively, colored by manually annotated cell types. (D) A t-SNE plot showing the expression of typical cell marker genes used to identify the above immune cell types. Each point represents a cell and the colors in the graph are labelled according to the logarithmic expression level of each marker gene. (E) Percentage of immune cell subtypes in all experimental individuals (n = 9). Horizontal coordinates indicate individual patients, vertical coordinates indicate the proportion of immune cell subpopulations, and different colors represent individual immune cell subtypes. (F) Dynamic changes of immune cell subtypes related to the severity of the disease. The horizontal coordinate of each of these line graphs represents the disease severity, the vertical coordinate represents the proportion of immune cell subtypes, and the colors represent different disease severities. The pie chart illustrates the proportion of each immune cell subtype across different severity levels. The cell fractions represent an integrated analysis combining all samples.