Figure 2 |. ECs have epigenetically distinct cell states.

(A), Upset plot of differential peaks across EC subtypes. Upset plots are a data visualization method for showing set data with more than three intersecting sets. Intersection size represents the number of genes at each intersection, while set size represents the number of genes for each EC subtype. (B), Pie chart of complete peak set indicating peaks located in exon or UTR, intergenic, intronic or promoter regions. (C), Heatmap of top transcription factors (TFs) from motif enrichment analysis for each EC subtype. Top TFs for each EC subtype are selected based on ascending p-value. Rows (TFs) and columns (EC subtype) are clustered based on enrichment score (ES). (D), Feature plots and position weight matrices (PWMs) for top TF binding motifs for EC1 (TCF12), EC2 (ETV1), EC3 (GATA5), and EC4 (TEAD3). Per-cell motif activity scores are computed with chromVAR, and motif activities per cell are visualized using Signac function FeaturePlot. (E), Feature plots of gene expression profiles from snRNA data of candidate TFs binding to the respective motifs in D. (F), PWMs comparing Jaspar 2020 ETV1 motif to ERG motif reported in Hogan et al.