Identification of differentially expressed genes and signaling pathways in chronic obstructive pulmonary disease via bioinformatic analysis.

ABSTRACT: Chronic obstructive pulmonary disease (COPD) is a multifactorial and heterogeneous disease that creates public health challenges worldwide. The underlying molecular mechanisms of COPD are not entirely clear. In this study, we aimed to identify the critical genes and potential molecular mechanisms of COPD by bioinformatic analysis. The gene expression profiles of lung tissues of COPD cases and healthy control subjects were obtained from the Gene Expression Omnibus. Differentially expressed genes were analyzed by integration with annotations from Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, followed by construction of a protein-protein interaction network and weighted gene coexpression analysis. We identified 139 differentially expressed genes associated with the progression of

SUBMITTER: Huang X 

PROVIDER: S-EPMC6823288 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature