CYP1B1, VEGFA, BCL2, and CDKN1A Affect the Development of Chronic Obstructive Pulmonary Disease.

International Journal of Chronic Obstructive Pulmonary Disease
Danlei YangTao Wang

Abstract

Chronic obstructive pulmonary disease (COPD) is a progressive lung disease characterized by poor airflow. The purpose of this study was to explore the mechanisms involved in the development of COPD. The mRNA expression profile GSE100281, consisting of 79 COPD and 16 healthy samples, was acquired from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) between COPD samples and healthy samples were analyzed using the limma package. Functional enrichment analysis for the DEGs was carried out using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) tool. Furthermore, DEG-compound pairs were predicted using the Comparative Toxicogenomics Database. The KEGG metabolite IDs corresponding to the compounds were also obtained through the MetaboAnalyst pipeline. Based on the diffusion algorithm, the metabolite network was constructed. Finally, the expression levels of key genes were determined using quantitative PCR (qPCR). There were 594 DEGs identified between the COPD and healthy samples, including 242 upregulated and 352 downregulated genes. A total of 696 DEG-compound pairs, such as BCL2-C00469 (ethanol) and BCL2-C00389 (quercetin) pairs, were predicted. CYP1B1, VEGFA, BCL2, and CD...Continue Reading

Citations

Sep 23, 2020·Journal of Cellular and Molecular Medicine·Xinwei HuangHong Zhang
Jan 21, 2021·International Journal of Chronic Obstructive Pulmonary Disease·Shulei SunJing Zhang

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Datasets Mentioned

BETA
GSE100281

Methods Mentioned

BETA
PCR

Software Mentioned

Database for Annotation , Visualization , and Integrated Disco...
limma network analysis ( WGCNA
R limma
GraphPad Prism
GraphPad
R package
R Affy package

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