Comprehensive analysis of diabetic nephropathy expression profile based on weighted gene co-expression network analysis algorithm.

ABSTRACT:

Background

Diabetic nephropathy (DN) is the major complication of diabetes mellitus, and leading cause of end-stage renal disease. The underlying molecular mechanism of DN is not yet completely clear. The aim of this study was to analyze a DN microarray dataset using weighted gene co-expression network analysis (WGCNA) algorithm for better understanding of DN pathogenesis and exploring key genes in the disease progression.

Methods

The identified differentially expressed genes (DEGs) in DN dataset GSE47183 were introduced to WGCNA algorithm to construct co-expression modules. STRING database was used for construction of Protein-protein interaction (PPI) networks of the genes in all modules and the hub genes were identified considering both the degree centrality in the PPI net

SUBMITTER: Gholaminejad A 

PROVIDER: S-EPMC8252307 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature