Ontology highlight
ABSTRACT: Objective
To explore the effect of smoking on gene expression in human alveolar macrophages and the value of identified key genes in the early diagnosis and prognosis of lung cancers.Methods
We downloaded three data sets (GSE8823, GSE2125, and GSE3212) from the Gene Expression Omnibus (GEO) database, including 31 non-smoking and 33 smoking human alveolar macrophage samples. We identified common differentially expressed genes (DEGs), from which we obtained module genes and hub genes by using STRING and Cytoscape. Then we analyzed the protein-protein interaction (PPI) network of DEGs, hub genes, and module genes and used David online analysis tool to carry out functional enrichment analysis of DEGs and module genes.Results
A total of 85 differentially expressed genes
SUBMITTER: Wang YD
PROVIDER: S-EPMC7716130 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature