Fig. 8
Gene regulatory network analysis of smooth muscle cell subpopulations in cardiomyopathy (A) Heatmaps displayed the differential expression of the top 5 TFs in the nine smooth muscle cell subpopulations. (B) Regulators in smooth muscle cell subpopulations associated with cardiomyopathy were ranked based on the Regulator Specificity Score (RSS) (left). Each smooth muscle cell subpopulation was highlighted with a red dot in the UMAP plots (middle). The distribution of the highest regulatory subunits, mapped on UMAP plots based on the binary RAS (normalized using Z-score across all samples, with a threshold of 2.5 set to convert to 0 or 1), was highlighted with green dots. (C) UMAP plots illustrated the expression levels of EGR1, NR2F2, HEY2, IRX1, and KLF2 in the smooth muscle cell subpopulations. (D) UMAP plots depicted the distribution of AUC values for EGR1, NR2F2, HEY2, IRX1, and KLF2 in the smooth muscle cell subpopulations. (E) Box plots quantified the differential expression levels of the top 5 highly active regulatory subunits in the nine smooth muscle cell subpopulations. (F) Box plots visually compared the AUC values of the aforementioned 5 regulators in the nine smooth muscle cell subpopulations. We used R software (v.4.3.3) (https://cran.r-project.org/) to visualize the results calculated by the pySCENIC module (v0.12.1) based on Python (v3.9.19) (https://www.python.org/). Finally, we integrated all the images in Adobe Illustrator (2024) (https://www.adobe.com/products/illustrator.html).
