Identification of novel candidate genes involved in the progression of emphysema by bioinformatic methods.

ABSTRACT:

Purpose

By reanalyzing the gene expression profile GSE76925 in the Gene Expression Omnibus database using bioinformatic methods, we attempted to identify novel candidate genes promoting the development of emphysema in patients with COPD.

Patients and methods

According to the Quantitative CT data in GSE76925, patients were divided into mild emphysema group (%LAA-950<20%, n=12) and severe emphysema group (%LAA-950>50%, n=11). Differentially expressed genes (DEGs) were identified using Agilent GeneSpring GX v11.5 (corrected P-value <0.05 and |Fold Change|>1.3). Known driver genes of COPD were acquired by mining literatures and retrieving databases. Direct protein-protein interaction network (PPi) of DEGs and known driver genes was constructed by STRING.org to screen the

SUBMITTER: Hu WP 

PROVIDER: S-EPMC6241693 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature