Fig. 6

Identification of TFs Regulatory Modules in Fibroblasts. (A) The heatmap illustrated the regulatory modules identified across all fibroblast subpopulations in the MI and Sham groups using PySCENIC. Modules were determined based on the similarity of regulatory rules and AUCell scores, leading to the identification of five regulatory submodules (M1–M5) based on rule similarity. (B) UMAP plots visualized the distribution of the five regulatory submodules (M1–M5) across all fibroblast subpopulations. (C) Violin plots displayed the proportions of fibroblast subpopulations within each module (M1–M5). (D) Rankings of regulatory activity scores for the three fibroblast subpopulations were shown within each module (M1–M5). (E) Violin plots compared the proportions of cells from the MI and Sham groups within each of the five regulatory submodules. (F) Regulatory activity scores for cells from the MI and Sham groups were shown for each module (M1–M5). (G) The top-ranking TFs with the highest activity in the five regulatory submodules were identified. (H) Intensity and density plots depicted the activity levels of the nine top-ranking TFs within module M4. (I) Violin plots compared the activity levels of the nine TFs among the three fibroblast subpopulations.