Identification of Key Pathways and Genes in Obesity Using Bioinformatics Analysis and Molecular Docking Studies.

ABSTRACT: Obesity is an excess accumulation of body fat. Its progression rate has remained high in recent years. Therefore, the aim of this study was to diagnose important differentially expressed genes (DEGs) associated in its development, which may be used as novel biomarkers or potential therapeutic targets for obesity. The gene expression profile of E-MTAB-6728 was downloaded from the database. After screening DEGs in each ArrayExpress dataset, we further used the robust rank aggregation method to diagnose 876 significant DEGs including 438 up regulated and 438 down regulated genes. Functional enrichment analysis was performed. These DEGs were shown to be significantly enriched in different obesity related pathways and GO functions. Then protein-protein interaction network, target genes - miRNA

SUBMITTER: Joshi H 

PROVIDER: S-EPMC8264660 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature