Integrated bioinformatics analysis reveals novel key biomarkers in diabetic nephropathy.

ABSTRACT:

Objectives

The underlying molecular mechanisms of diabetic nephropathy have yet not been investigated clearly. In this investigation, we aimed to identify key genes involved in the pathogenesis and prognosis of diabetic nephropathy.

Methods

We downloaded next-generation sequencing data set GSE142025 from Gene Expression Omnibus database having 28 diabetic nephropathy samples and nine normal control samples. The differentially expressed genes between diabetic nephropathy and normal control samples were analyzed. Biological function analysis of the differentially expressed genes was enriched by Gene Ontology and REACTOME pathways. Then, we established the protein-protein interaction network, modules, miRNA-differentially expressed gene regulatory network and transcription fact

SUBMITTER: Joshi H 

PROVIDER: S-EPMC9661593 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature