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. Author manuscript; available in PMC: 2019 Feb 1.
Published in final edited form as: Dev Biol. 2017 Nov 26;434(1):36–47. doi: 10.1016/j.ydbio.2017.11.006

Figure 2. Unsupervised cell-population analysis for Drop-Seq, Fluidigm and Chromium E14.5 kidney scRNA-Seq data.

Figure 2

A) De novo identified cell populations from the software ICGS are shown for each scRNA-Seq platform. The displayed heatmaps were produced by the MarkerFinder algorithm, downstream of the ICGS population predictions, with yellow indicating high relative gene expression and blue or black, low or no gene expression in the associated genes (rows). Prior established embryonic kidney marker genes corresponding to compartments are shown in panel C. Text to the left of each heatmap indicates the statistical enrichment of genes from the Drop-Seq ICGS analysis for the 16 identified populations (MarkerFinder) using the embedded gene-set enrichment analysis tool GO-Elite in AltAnalyze. B–C) t-SNE plot derived from the ICGS heatmaps in panel A, where each dot represents individual cells colored according to its B) ICGS cluster annotation or C) prior established population specific genes. CD: Collecting duct, UT: Ureteric Tip, LOH: Loop of Henle, RV: Renal vesicle, DCSB: Distal comma shaped body, Pod: podocyte, PT: Proximal Tubule, PA: Pre-tubular aggregate, CM: Cap mesenchyme, Endo: Endothelium, NZS: Nephrogenic Stroma, CS: Cortical Stroma.