Identifying key genes and functionally enriched pathways in Th2-high asthma by weighted gene co-expression network analysis.

ABSTRACT:

Background

Asthma is a chronic lung disease characterized by reversible inflammation of the airways. The imbalance of Th1/Th2 cells plays a significant role in the mechanisms of asthma. The aim of this study was to identify asthma-related key genes and functionally enriched pathways in a Th2-high group by using weighted gene coexpression network analysis (WGCNA).

Methods

The gene expression profiles of GSE4302, which included 42 asthma patients and 28 controls, were selected from the Gene Expression Omnibus (GEO). A gene network was constructed, and genes were classified into different modules using WGCNA. Gene ontology (GO) was performed to further explore the potential function of the genes in the most related module. In addition, the expression profile and diagnostic capa

SUBMITTER: Cao Y 

PROVIDER: S-EPMC9097074 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature