Integration microarray and regulation datasets for chronic obstructive pulmonary disease
J.-y. Yang, J. Jin, Z. Zhang, L. Zhang, C. Shen Respiratory Department, Affiliated Sixth People’s Hospital, Shanghai Jiaotong University, Shanghai, China. ce.shen.sh@gmail.com
BACKGROUND: Pulmonary disease has become one of the major health problems.
AIM: To investigate the regulation mechanism of Chronic Obstructive Pulmonary Disease (COPD) on gene expression and pathway level.
MATERIALS AND METHODS: We mapped the differentially expressed genes to a regulation network and pathways, using transcriptome profiles and regulation data. We constructed a TF-target gene regulation network, TF-pathway regulation network, and pathway crosstalk network.
RESULTS: STAT1, NFKB1, SMAD4, and STAT3 played an important role in COPD through participating in a number of pathways. Although these related pathways all have been demonstrated associated with COPD in previous reports, the detail mechanism may be not very clear.
CONCLUSIONS: Our results may help to further understanding the mechanism of COPD. And Identified multiple pathways will also provide novel avenues in the treatment of COPD.
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To cite this article
J.-y. Yang, J. Jin, Z. Zhang, L. Zhang, C. Shen
Integration microarray and regulation datasets for chronic obstructive pulmonary disease
Eur Rev Med Pharmacol Sci
Year: 2013
Vol. 17 - N. 14
Pages: 1923-1931