Extended Data Fig. 9: Conservation of single- and multi-state TFs in human pan-cancer TEXterm and TRM cell states.
From: Atlas-guided discovery of transcription factors for T cell programming

a, Human pan-cancer datasets utilized in this study48,49,50,51,52,53,54,55. b, Cluster-specific marker mRNA expression across integrated pan-cancer single-cell multi-omics datasets. c, TF activity analysis using Taiji on matched matched scRNA-seq and scATAC-seq datasets from various human cancers, including ccRCC, GBM, BCC, HNSCC, HCC, and RCC. CD8+ T cell states were annotated using canonical marker gene expression. PageRank scores derived from Taiji were log-transformed, averaged per state, and z-score normalized. Results were visualized with a focus on TF activity TRM and TEXterm cell states. d, mRNA expression of TFs were compared across human CD8+ T cell states. The dataset encompassed T cells from 15 tumor types. Cell type annotations provided by the original study were retained and mapped to the following broad categories of clusters: TRM, TEXterm, TEM, Memory, Naive, and cell cycle. Seurat’s AverageExpression function was used, followed by z-score normalization. Data visualization emphasized comparisons between TRM and TEXterm cell states. Cell-state-selectivity conserved TFs in humans and mice are highlighted in bold (c, d).