Identification of key genes involved in type 2 diabetic islet dysfunction: a bioinformatics study.

ABSTRACT: Aims: To identify the key differentially expressed genes (DEGs) in islet and investigate their potential pathway in the molecular process of type 2 diabetes.Methods: Gene Expression Omnibus (GEO) datasets (GSE20966, GSE25724, GSE38642) of type 2 diabetes patients and normal controls were downloaded from GEO database. DEGs were further assessed by enrichment analysis based on the Database for Annotation, Visualization and Integrated Discovery (DAVID) 6.8. Then, by using Search Tool for the Retrieval Interacting Genes (STRING) 10.0 and gene set enrichment analysis (GSEA), we identified hub gene and associated pathway. At last, we performed quantitative real-time PCR (qPCR) to validate the expression of hub gene.Results: Forty-five DEGs were co-expressed in the three datasets, most of which w

SUBMITTER: Zhong M 

PROVIDER: S-EPMC6542763 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature