期刊
COMPUTATIONAL BIOLOGY AND CHEMISTRY
卷 47, 期 -, 页码 192-197出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compbiolchem.2013.08.010
关键词
Cholangiocarcinoma; Differentially coexpressed gene; Regulatory network; Bioinformatics analysis
To explore the molecular mechanisms of cholangiocarcinoma (CC), microarray technology was used to find biomarkers for early detection and diagnosis. The gene expression profiles from 6 patients with CC and 5 normal controls were downloaded from Gene Expression Omnibus and compared. As a result, 204 differentially co-expressed genes (DCGs) in cc patients compared to normal controls were identified using a computational bioinformatics analysis. These genes were mainly involved in coenzyme metabolic process, peptidase activity and oxidation reduction. A regulatory network was constructed by mapping the DCGs to known regulation data. Four transcription factors, FOXC1, ZIC2, NKX2-2 and GCGR, were hub nodes in the network. In conclusion, this study provides a set of targets useful for future investigations into molecular biomarker studies. (C) 2013 Elsevier Ltd. All rights reserved.
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