Research Paper Volume 16, Issue 13 pp 10943—10971
Unfolding the mysteries of heterogeneity from a high-resolution perspective: integration analysis of single-cell multi-omics and spatial omics revealed functionally heterogeneous cancer cells in ccRCC
Figure 6. Identification of specific transcription factors of functionally heterogeneous cancer cells in ccRCC TME. (A) Heatmap of the results of pySCENIC analysis in scRNA-seq data, revealing the putative transcription factors associated with different meta programs. The right heatmap shows motif activities in scATAC-seq data, indicating the activities of transcription factor binding motifs in different cell types. (B) Transcription factor footprint analysis of disparate meta programs. The footprint analysis is for computing the normalized Tn5 insertion frequency for each position surrounding AP-1 motif instances. Different colors represent different meta programs.