Liu Bing, Li Jiuyong, Tsykin Anna
School of Computer and Information Science, University of South Australia, Mawson Lakes, SA 5095, Australia.
J Biomed Inform. 2009 Aug;42(4):685-91. doi: 10.1016/j.jbi.2009.01.005. Epub 2009 Jan 30.
The identification of miRNAs and their target mRNAs and the construction of their regulatory networks may give new insights into biological procedures. This study proposes a computational method to discover the functional miRNA-mRNA regulatory modules (FMRMs), that is, groups of miRNAs and their target mRNAs that are believed to participate cooperatively in post-transcriptional gene regulation under specific conditions. The proposed method identifies negatively regulated patterns of miRNAs and mRNAs which associate with cancer and normal conditions, respectively, in a prostate cancer data set. GO and the literature also suggest that they may relate with prostate cancer. It can potentially identify the biologically relevant chains of 'miRNA-->target gene --> condition'.
对微小RNA（miRNA）及其靶信使核糖核酸（mRNA）的识别以及它们调控网络的构建，可能会为生物学过程带来新的见解。本研究提出了一种计算方法来发现功能性miRNA-mRNA调控模块（FMRM），即被认为在特定条件下协同参与转录后基因调控的miRNA及其靶mRNA的组合。所提出的方法在前列腺癌数据集中识别分别与癌症和正常情况相关的miRNA和mRNA的负调控模式。基因本体论（GO）和文献也表明它们可能与前列腺癌有关。它有可能识别出“miRNA→靶基因→情况”的生物学相关链。
