情境特异性miRNA调控网络预测癌症预后

Xionghui Zhou, Juan Liu, Changning Liu, S. Rayner, Fengji Liang, J. Ju, Yinghui Li, Shanguang Chen, J. Xiong
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引用次数: 6

摘要

microrna可以调控数百个靶基因,在广泛的生物过程中发挥关键作用。然而,对于这些高度连接的mirna靶标网络如何在各种疾病的背景下被重塑,人们知之甚少。在这里,我们研究了上下文特异性miRNA调控的动态变化,以确定修饰的microrna对特定生物过程的调控是否是预测癌症预后的有用信息源。引入了一个新概念,上下文特异性miRNA活性(CoMi活性),用于描述给定基因集(上下文)中miRNA靶基因和非靶基因表达水平之间的统计差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context-specific miRNA regulation network predicts cancer prognosis
MicroRNAs can regulate hundreds of target genes and play a pivotal role in a broad range of biological process. However, relatively little is known about how these highly connected miRNAs-target networks are remodelled in the context of various diseases. Here we examine the dynamic alteration of context-specific miRNA regulation to determine whether modified microRNAs regulation on specific biological processes is a useful information source for predicting cancer prognosis. A new concept, Context-specific miRNA activity (CoMi activity) is introduced to describe the statistical difference between the expression level of a miRNA's target genes and non-targets genes within a given gene set (context).
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