Skip to main content
Fig. 1 | BMC Research Notes

Fig. 1

From: Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells

Fig. 1

Heterogeneity of hematopoietic stem and progenitor cells quantified by scRNA-seq. a Schematic of bioinformatics analysis workflow to analyze scRNA-seq data. b A t-distributed Stochastic Neighbor Embedding (tSNE) plot of single-cell gene expression data. Each dot represents one cell. Cells were labelled based on expression of a surface marker CD38. c Unsupervised hierarchical clustering of gene expression data for all cells. Clustering was performed by using all 2093 variable genes across all cells. Top 10 genes (row) enriched in each cluster (column) are displayed in a heatmap, showing gene expression on a log2 scale from black to yellow (low to high). d A GSEA plot shows decreased expression of a gene set involved in cell quiescence in LinCD34+CD38+ cells vs LinCD34+CD38 cells. e A GSEA plot represents increased expression of a gene set involved in cell cycling in LinCD34+CD38+ cells relative to LinCD34+CD38 cells

Back to article page