Bioinformatics analysis of differentially expressed genes in ischemic cardiomyopathy / 上海交通大学学报（医学版）

ABSTRACT

Objective: To screen differentially expressed genes in ischemic cardiomyopathy (ICM) by bioinformatics analysis and construct the regulatory network of competing endogenous RNA (ceRNA). Methods: Data sets were downloaded from Gene Expression Omnibus (GEO) database to screen the differentially expressed mRNAs and lncRNAs between normal samples and ICM ones. Then, GO (Gene Ontology) analysis and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis were performed. The differentially expressed mRNAs and lncRNAs were analyzed to predict related miRNAs by bioinformatics methods, and then to construct ceRNA regulatory network. Results: GO analysis and KEGG pathways analysis results showed that the differentially expressed genes were enriched in the pathways such as metabolic pathway, oxidative phosphorylation, and extracellular matrix receptor interaction, and they were closely related to the functions such as endoplasmic reticulum stress, fibrosis, collagen catabolic process, and inflammatory response. A ceRNA regulatory network containing 26 mRNAs, 2 lncRNAs and 15 miRNAs was constructed. Conclusion: The bioinformatics method can be used to analyze the differentially expressed genes of ICM, and the regulatory network of ceRNA of ICM has been successfully constructed.