Unknown

Dataset Information

Identification of core genes and pathways in type 2 diabetes mellitus by bioinformatics analysis.


ABSTRACT: Type 2 diabetes mellitus (T2DM) is a metabolic disorder. Numerous proteins have been identified that are associated with the occurrence and development of T2DM. This study aimed to identify potential core genes and pathways involved in T2DM, through exhaustive bioinformatic analyses using GSE20966 microarray profiles of pancreatic β‑cells obtained from healthy controls and patients with T2DM. The original microarray data were downloaded from the Gene Expression Omnibus database. Data were processed by the limma package in R software and the differentially expressed genes (DEGs) were identified. Gene Ontology functional analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis were carried out to identify potential biological functions and pathways of the DEGs. Key transcription

SUBMITTER: Ding L 

PROVIDER: S-EPMC6691242 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature