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Gene sets enrichment analysis of miRNA expression profile

机译:miRNA表达谱的基因集富集分析

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Alteration in expression levels of genes as well as their regulatory components, such as those levels of miRNAs in cancer cells will likely reflect in the enrichment of unique cellular functions and biological processes in their corresponding cell systems. By employing systems biology approaches, and instead of examining individual gene, we will directly and unambiguously identify the regulatory pathways and biological processes that are distinctive to specific disease states or responses to therapeutic treatment. In this study, we employ gene set enrichment analysis inspired method to explore the functional regulation of miRNAs. The analysis integrated a mathematic model that associates miRNAs to gene sets through miRNA target genes with a statistic test of enrichment to study the regulation change at a specific pathway. Different from conventional individual miRNA processing procedures, our method enables researchers to construct regulation hypothesis at pathway and functional levels.
机译:基因表达水平及其调控成分的改变,例如癌细胞中miRNA的表达水平的改变,很可能反映了其相应细胞系统中独特细胞功能和生物学过程的丰富化。通过采用系统生物学方法,而不是检查单个基因,我们将直接明确地确定特定疾病状态或对治疗的反应所特有的调节途径和生物学过程。在这项研究中,我们采用基因集富集分析启发性方法来探索miRNA的功能调控。该分析整合了一个数学模型,该模型通过miRNA靶基因将miRNA与基因组相关联,并进行了统计检验,以研究特定途径的调控变化。与传统的单个miRNA处理程序不同,我们的方法使研究人员能够在途径和功能水平上构建调控假设。

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