Integrated computational approaches to screen gene expression data to determine key genes and therapeutic targets for type-2 diabetes mellitus.

ABSTRACT: There is a rapid rise in cases of Type-2-diabetes mellitus (T2DM) globally, irrespective of the geography, ethnicity or any other variable factors. The molecular mechanisms that could cause the condition of T2DM need to be more thoroughly analysed to understand the clinical manifestations and to derive better therapeutic regimes. Tools in bioinformatics are used to trace out key gene elements and to identify the key causative gene elements and their possible therapeutic agents. Microarray datasets were retrieved from the Gene expression omnibus database and studied using R to derive different expressed gene (DEG) elements. With the comparison of the expressed genes with disease specific genes in DisGeNET, the final annotated genes were taken for analysis. Gene Ontology studies, Protein-pro

SUBMITTER: Alhumaydhi FA 

PROVIDER: S-EPMC9280245 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature