Fig. 2: Single-cell transcriptional regulatory network analysis reveals regulatory patterns and cellular heterogeneity in fibroblastsm.

a UMAP and UMAP_RAS visualizations showing cell distribution based on different cell types and groups. The top left plot shows clustering by cell type, while the top right plot shows clustering by transcription factor regulatory patterns. The bottom left plot shows cell distribution in healthy and OSCC samples, while the bottom right plot shows the distribution between the two groups under transcription factor regulatory patterns. b Fibroblast distribution in UMAP and UMAP_RAS visualizations. The top left plot shows fibroblasts clustering together with similar gene expression. The top right plot reveals that fibroblasts are regulated by two distinct groups of regulons. The bottom left plot shows the distribution of healthy and OSCC fibroblasts in UMAP, while the bottom right plot shows the inter-group distribution characteristics of the two fibroblast regulon groups in UMAP_RAS. c The significantly different transcription factors (TFs) between normal and OSCC fibroblasts. Each point represents a transcription factor, with the Y-axis showing the transcription factor names and the X-axis showing the differential activity scores. d Comparison of transcription factor activities of JUNB, KLF4, MZF1, and SOX15 in normal and OSCC fibroblasts, with the Y-axis representing TF activity analysis and the X-axis representing cell types. e UMAP dimensionality reduction shows the heterogeneity of fibroblast populations and transcriptional regulatory differences. Different colors in the plot represent different cell states, such as Normal_Normal, Normal_OSCC, OSCC_Normal, and OSCC_OSCC. RAS regulon activity score.