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Mining the Bioinformation of Differentially Expressed Genes in Lung Treated with the Hypoxia Based on the Bioinformatics Methods

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5 Author(s)
Cuihong Zhou ; Sch. of Biol. Sci. & Med. Eng., Beihang Univ. (BUAA), Beijing, China ; Xiaoyan Deng ; Jun Zhou ; De Bi
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Objective: To analyze the differentially expressed genes expressed genes in human pulmonary microvascular endothelial cells (HMVEC-L) that cultured in hypoxia environment for getting better understanding of the molecular characteristics caused by hypoxia. Methods: Got the microarray hybridization data from the Gene Expression Omnibus (GEO) database. Identified the differentially expressed genes expressed genes in hypoxic HMVEC-L and the patterns of their regulation using public bioinformatics software and database, which involved BRB-Arraytools, Genecodis, GO and KEGG. Results and Conclusion: These data mining findings between normal and hypoxic HMVEC-L by bioinformatics methods could provide better understanding of the molecular activity change caused by hypoxia.

Published in:

Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on

Date of Conference:

10-12 May 2011