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 3. Functionally heterogenous cancer cells in ccRCC. (A) Heatmap of pairwise correlations of ten intra-tumoral programs derived from three ccRCC samples, with the right plot revealing functional characteristics of different meta programs based on functional enrichment analysis. (B) Heatmap showing the specific characteristic gene expression of three meta programs of functionally heterogenous cancer cells. Characteristic genes of three meta programs were marked by the color. (C) Pseudotime analysis of three meta programs of functionally heterogenous cancer cells based on Monocle2. The numbers 1, 2, and 3 represent node changes in cell differentiation, where nodes 1 and 2 have fewer branches, while node 3 is the main node of cell differentiation. (D) Pairwise correlation plot of cell types identified in scRNA-seq data, illustrating similarities between different cell types in ccRCC.