Identification and experimental validation of ulcerative colitis-associated hub genes through integrated WGCNA and lysosomal autophagy analysis.

ABSTRACT:

Objective

This study aims to systematically identify differentially expressed genes associated with lysosomal autophagy in ulcerative colitis (UC) and validate key candidate genes in an animal model, thereby providing novel insights driving UC pathogenesis.

Methods

The GSE47908 dataset from the Gene Expression Omnibus (GEO) was subjected to principal component analysis (PCA), followed by stratified identification of differentially expressed genes (DEGs) across UC subtypes. Immune cell infiltration of these gene sets was evaluated using the CIBERSORT algorithm. Lysophagy-related genes set were retrieved from the GeneCards database. Bioinformatics methods were employed to stratify UC DEGs, weighted gene co-expression network analysis (WGCNA) module genes, and lysophagy-associa

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC12220674 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature