Role of competitive endogenous RNA networks in the pathogenesis of coronary artery disease.

ABSTRACT:

Background

The present study aimed to construct a network of competitive endogenous RNAs (ceRNAs) related to the pathogenesis of coronary artery disease (CAD), to provide a novel rationale for CAD treatment.

Methods

Bioinformatics methods were applied to screen for differentially expressed long non-coding RNAs (DElncRNAs), microRNAs (DEmiRNAs), and mRNAs (DEmRNAs) from the GSE68506, GSE59421, and GSE20129 datasets of the Gene Expression Omnibus (GEO) database. The miRcode database was used to predict lncRNA-binding miRNAs. The miRTarBase, miRDB, and TargetScan databases were used to predict the target genes of these miRNAs. An mRNA-miRNA-lncRNA ceRNA network of CAD was established.

Results

Between the CAD and normal control groups there were 264 DElncRNAs, 106 DEmiRNA

SUBMITTER: Zuo J 

PROVIDER: S-EPMC8421985 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature