Identification of hypertension-related long-non-coding RNA and its functions based on competing endogenous RNA network

Abstract

Objective To identify hypertension-related Long non-coding RNA (lncRNA) and its function in hypertension. Methods The global lncRNA-mRNA network was constructed by competing endogenous RNA theory. We downloaded and re-annotated the expression profile of hypertension from GEO and identified the differential expression genes and lncRNAs. Then we mapped them to the global lncRNA-mRNA network to obtain a hypertension lncRNA-gene network. Next, the characteristics of the network topology were analyzed to obtain hypertension-related lncRNA. For hypertension-related lncRNAs, the genes linked to it were performed pathway enrichment analysis by DAVID tool to predict the function of the hypertension-related lncRNA. Results A hypertension-related lncRNA-gene network (58 lncRNAs, 431 genes and 4737 edges) was constructed. By topological analysis of the network, we found that lncRNA MALAT1 played a very important role in hypertension, and it may played a regulatory role through TNF signaling pathway and MAPK signal pathway. Conclusion lncRNA MALAT1 is important in the pathogenesis of hypertension, which may play a regulatory role through TNF signaling pathway and MAPK signal pathway. Key words: Hypertension; lncRNA; ceRNA network