Extended Data Fig. 4: Binary regulon activity within ILC clusters.
From: Reciprocal transcription factor networks govern tissue-resident ILC3 subset function and identity
a t-SNE plots generated from transcriptome (normalised and log-transformed counts) and b binary regulon activity (On/Off) generated via SCENIC analysis of cells within the 4 samples. c Heatmap of the mean binary regulon activity for all cells within each of the 11 transcriptomically-defined clusters. Regulons were filtered to exclude those which were rarely (< 4%) or constitutively (> 60%) active across all cells in the dataset. d Regulon specificity score for each of the 5 superclusters generated from regulon enrichment scores in each cell calculated using AUCell step of the SCENIC pipeline. Top 8 most specific regulons in each supercluster, relative to the entire dataset, are highlighted in red. e Gata3, Rorc and Tbx21 mRNA expression (ALRA-imputed values, top) and binary regulon activity (bottom).
