Application of weighted gene co-expression network analysis to identify novel key genes in diabetic nephropathy.

ABSTRACT:

Aims/introduction

Diabetic nephropathy (DN) is among the leading causes of end-stage renal disease worldwide. DN pathogenesis remains largely unknown. Weighted gene co-expression network analysis is a powerful bioinformatic tool for identifying key genes in diseases.

Materials and methods

The datasets GSE30122, GSE104948, GSE37463 and GSE47185 containing 23 DN and 23 normal glomeruli samples were obtained from the National Center for Biotechnology Information Gene Expression Omnibus database. After data pre-processing, weighted gene co-expression network analysis was carried out to cluster significant modules. Then, Gene Set Enrichment Analysis-based Gene Ontology analysis and visualization of network were carried out to screen the key genes in the most significant modules.

SUBMITTER: Wang Z 

PROVIDER: S-EPMC8756323 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature