Mining the potential therapeutic targets for coronary artery disease by bioinformatics analysis.

ABSTRACT: The present study aimed to mine therapeutic molecular targets that play an important part in the progression of coronary artery disease (CAD). The gene expression profile GSE28829 dataset and the microRNA (miRNA) expression profile GSE59421 dataset were downloaded from the Gene Expression Omnibus (GEO) database. The GEO2R online analytical tool was used to identify differentially expressed genes (DEGs) and miRNAs (DEMs). The target genes of DEMs were identified using the miRWalk2.0 web‑based tool and 2 miRNA‑gene regulatory networks were constructed using Cytoscape software. Subsequently, enriched Gene Ontology (GO) terms of miRNA‑target DEGs were obtained using the Database for Visualization, Annotation and Integrated Analysis, and locations of these genes in the chromosomes were determin

SUBMITTER: Wang W 

PROVIDER: S-EPMC6236289 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature