Identification of podocyte molecular markers in diabetic kidney disease via single-cell RNA sequencing and machine learning
Fig 5
Unveiling cellular heterogeneity through podocyte subcluster analysis.
(A) Podocytes were divided into three distinct subclusters, labeled as 0, 1, and 2. (B) The top ten cell cluster marker genes of each subcluster were selected for presentation of their expression level in the form of a heatmap. (C) Representative marker genes of subcluster 0 (PODXL, PTPRO, and PTPRQ) and subcluster 2 (KCNJ16, LRP2, and WNK1). (D) GO-BP enrichment analysis of subcluster marker genes. The top seven items were selected for presentation. GO-BP: gene ontology biological processes.