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Dataset Information

Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics.


ABSTRACT:

Background

IgA nephropathy (IgAN), which has been reported as the most prevalent glomerulonephritis globally, is the major contributor to end-stage renal diseases. This bioinformatics study aimed to explore glomerulotubular crosstalk genes and dysregulated pathways relating to the pathogenesis of IgAN.

Methods

The microarray datasets from the Gene Expression Omnibus (GEO) database were searched. Weighted gene co-expression network analysis (WGCNA) and differentially expressed genes (DEGs) of both glomeruli and tubulointerstitium were conducted individually. The co-expression gene modules of glomeruli and tubulointerstitium were compared via gene function enrichment analysis. Subsequently, the crosstalk co-expression network was constructed via the STRING database and key gen

SUBMITTER: Bai Y 

PROVIDER: S-EPMC9008921 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature