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Dataset Information

Identification of potential key autophagy-related genes in asthma with bioinformatics approaches.


ABSTRACT:

Objectives

Asthma is a chronic respiratory disease characterized by airway remodeling and inflammation. Recent studies have demonstrated that multiple autophagy-related genes are involved in the pathogenesis of asthma. However, the roles of many of these autophagy-related genes in asthma remain unclear, particularly with regard to the diagnosis of asthma.

Methods

In this study, autophagy-related differentially expressed genes (DEGs) in asthma were identified by bioinformatics analysis of the GSE76262 datasets. Hub genes were screened by protein-protein interaction (PPI) network and module analyses. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were used to explore potential signaling pathways. Receiver operating characteristic (ROC) cu

SUBMITTER: Zhang S 

PROVIDER: S-EPMC9641494 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature