Extended Data Fig. 8: TGFβ-Smad3 activity is anti-correlated with Ccnd1 in MuSCs.

a, For each gene in the RNA-Seq datasets, a weighted correlation coefficient against Ccnd1 was calculated across all samples. Shown are examples of negative, zero, and positive correlations, in which expression is plotted in log scale and point size conveys sample weight. b, GSEA results for the Hallmark gene sets using the Ccnd1 correlation coefficient of each gene across all samples. Gene sets are in ascending order based on NES. c, GSEA results for TFT gene sets obtained from the Harmonizome database that are experimentally determined (TRANSFAC and ChEA) and computationally predicted (MSigDB and MotifMap). Shown are the top twelve anticorrelated gene sets based on NES for each gene set collection (total gene sets screened: 72 for TRANSFAC, 74 for ChEA, 140 for MSigDB, and 34 for MotifMap). Smad3 is highlighted in each collection. d, Enrichment plots for the Hallmark gene set TGF BETA in each of the previously mentioned RNA-Seq comparisons. NES, normalized enrichment score in b-d; ES, running enrichment score; S2N, GSEA Signal2Noise ranking metric in d.