Identification of Differentially Expressed Genes and Prediction of Expression Regulation Networks in Dysfunctional Endothelium.

ABSTRACT: The detection of early coronary atherosclerosis (ECA) is still a challenge and the mechanism of endothelial dysfunction remains unclear. In the present study, we aimed to identify differentially expressed genes (DEGs) and the regulatory network of miRNAs as well as TFs in dysfunctional endothelium to elucidate the possible pathogenesis of ECA and find new potential markers. The GSE132651 data set of the GEO database was used for the bioinformatic analysis. Principal component analysis (PCA), the identification of DEGs, correlation analysis between significant DEGs, the prediction of regulatory networks of miRNA and transcription factors (TFs), the validation of the selected significant DEGs, and the receiver operating characteristic (ROC) curve analysis as well as area under the curve (AUC

SUBMITTER: Cheng F 

PROVIDER: S-EPMC9498925 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature