کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6487167 1377 2013 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gene expression patterns combined with bioinformatics analysis identify genes associated with cholangiocarcinoma
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
Gene expression patterns combined with bioinformatics analysis identify genes associated with cholangiocarcinoma
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Biology and Chemistry - Volume 47, December 2013, Pages 192-197
نویسندگان
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