Journal: Communications Biology

Article Title: Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome

doi: 10.1038/s42003-019-0554-8

Figure Lengend Snippet: Validation of single-cell stem-like signature in independent 10X and Fluidigm C1 data. a Violin plots comparing the average expression over the 72 upregulated genes in the single-cell stem-like signature between the top-5% of most highly potent cells (as derived from our cell potency SR measure) and the rest of cells, for each of the four women for which 10X scRNA-Seq was generated. P -values are derived from a one-tailed Wilcoxon rank sum test. b Heatmap of Pearson correlation coefficients (PCC) between the average expression of all 72 genes (AvExp72g) making up the single-cell stem-like signature with the expression of six stemness markers ( ALDH1A1, ALDH1A3, CD44, ITGA6, ZEB1 , and TCF4 ), as indicated. The correlations were computed in the Fluidigm C1 scRNA-Seq dataset, separately for three different individuals ( n = 198 cells for Ind-1, n = 195 cells for Ind-2, and n = 322 for Ind-3). Right panel heatmap displays the corresponding –log 10 [ P -values]

Article Snippet: We reanalyzed scRNA-Seq data from a previous study that used the 10X Genomics Chromium assay to profile over 25,000 mammary epithelial cells from four nulliparous healthy women .

Techniques: Biomarker Discovery, Expressing, Derivative Assay, Generated, One-tailed Test