Comprehensive analysis of gene-expression profile in chronic obstructive pulmonary disease.

ABSTRACT:

Objective

To investigate the gene-expression profile of chronic obstructive pulmonary disease (COPD) patients and explore the possible therapeutic targets.

Methods

The microarray raw dataset GSE29133, including three COPD samples and three normal samples, was obtained from Gene Expression Omnibus. After data preprocessing with the Affy package, Student's t-test was employed to identify the differentially expressed genes (DEGs). The up- and downregulated DEGs were then pooled for gene-ontology and pathway-enrichment analyses using the Database for Annotation, Visualization and Integrated Discovery (DAVID). The upstream regulatory elements of these DEGs were also explored by using Whole-Genome rVISTA. Furthermore, we constructed a protein-protein interaction (PPI) network for

SUBMITTER: Wei L 

PROVIDER: S-EPMC4468932 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature