Research Paper Volume 15, Issue 22 pp 13176—13193
Investigating EGF and PAG1 as necroptosis-related biomarkers for diabetic nephropathy: an in silico and in vitro validation study
Figure 2. The identification of necroptosis-related biomarkers. (A) GSVA score of five different types of programmed cell death (PCD) in the bulk RNA-seq data (GSE96804). (B) GSVA score of five different types of programmed cell death based on the scRNA-seq data (GSE131882). (C) Heatmap showing the correlation between PCD traits and gene modules. (D) Venn diagram demonstrating the necroptosis-related biomarkers by intersecting necroptotic gene modules arising from WGCNA analysis, DEGs in the bulk RNA-seq data and DEGs in the scRNA-seq data. Scatter plots showing Pearson’s correlation analysis between necroptotic GSVA scores and EGF (E), PAG1 (F) and ZFP36 (G) respectively. (**P<0.01; ***P<0.001). Abbreviations: DN: diabetic nephropathy; GSVA: gene set variation analysis; WGCNA: weighted gene correlation network analysis; DEGs: differentially expression genes.