Competing endogenous RNA network analysis for screening inflammation‑related long non‑coding RNAs for acute ischemic stroke.

ABSTRACT: Long non‑coding RNAs (lncRNAs) represent potential biomarkers for the diagnosis and treatment of various diseases; however, the role of circulating acute ischemic stroke (AIS)‑related lncRNAs remains relatively unknown. The present study aimed to screen crucial lncRNAs for AIS based on the competing endogenous RNA (ceRNA) hypothesis. The expression profile datasets for one mRNA, accession no. GSE16561, and four microRNAs (miRNAs), accession nos. GSE95204, GSE86291, GSE55937 and GSE110993, were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs), lncRNAs (DELs), and miRNAs (DEMs) were identified, and ClusterProfiler was used to interpret the function of the DEGs. Based on the protein‑protein interaction (PPI) network and module analyses, hub DEGs were

SUBMITTER: Zhang L 

PROVIDER: S-EPMC7453507 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature