基因共表达分析预测与结肠癌转移相关的基因畸变位点。

Q4 Pharmacology, Toxicology and Pharmaceutics
Jie Zhang, Shiwei Ni, Yang Xiang, Jeffrey D Parvin, Yufeng Yang, Yongjian Zhou, Kun Huang
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引用次数: 12

摘要

基因共表达网络(GCN)分析已广泛应用于基因功能和疾病生物标志物的发现。在这项研究中,我们提出了一种鉴别与结肠癌转移相关的GCN的工作流程。该工作流程包括从加权GCN中发现密集网络,然后使用基于相互信息的方法进行网络活动分析,以识别与转移相关的基因网络。我们的研究结果表明,包括chr11q13、20q13、8q24和14q22-23在内的几个基因组区域存在与结肠癌恶性相关的遗传畸变。我们的工作还展示了一种解释基因共表达分析结果的新方法,除了功能关系和基于互信息的网络分析在检测不同疾病状态之间细微变化方面的有效性之外。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gene Co-expression analysis predicts genetic aberration loci associated with colon cancer metastasis.

Gene Co-expression Network (GCN) analysis has been widely used for gene function and disease biomarker discovery. In this study, we present a workflow for identifying GCN associated with colon cancer metastasis. The workflow includes dense network discovery from weighted GCN followed by network activity analysis using a mutual information-based approach to identify gene networks related to metastasis. Our findings suggest several genomic regions as genetic aberrations related to colon cancer malignancy including chr11q13, 20q13, 8q24 and 14q22-23. Our work also demonstrates a novel way of interpreting gene co-expression analysis results besides functional relationships and the effectiveness of the mutual information based network analysis in detecting subtle changes between different disease states.

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来源期刊
International Journal of Computational Biology and Drug Design
International Journal of Computational Biology and Drug Design Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
1.00
自引率
0.00%
发文量
8
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