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整合分析miRNA和mRNA表达谱以鉴定miRNA靶标

Integrated Analysis of miRNA and mRNA Expression Profiles to Identify miRNA Targets.

作者信息

Li Zhiming, Tzeng Chi-Meng

机构信息

Translational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, China.

Key Laboratory for Cancer T-Cell Theranostics and Clinical Translation (CTCTCT), Xiamen, Fujian, China.

出版信息

Methods Mol Biol. 2018;1720:141-148. doi: 10.1007/978-1-4939-7540-2_10.

Abstract

miRNAs are involved in various biological processes and different diseases through interacting with their target mRNAs. Therefore, deciphering miRNA targets is important for diagnostics and therapeutics. However, it is still complex and expensive to do large scale screening for miRNA alterations and identify their downstream miRNA targets. Recently, integrating analysis of miRNA expression profiles and mRNA expression levels has been used to successfully identify the most prominent interactions. Here, we present a protocol that combines both expression data and computational prediction to refine the microarray result for identifying the miRNA targets. Many details are also provided to help researchers choose more appropriate tools and methods for a given type of application. Available web-based resources and experimental conditions for functional enrichment and validation of miRNA targets are also summarized.

摘要

微小RNA(miRNA)通过与靶信使核糖核酸(mRNA)相互作用参与各种生物学过程和不同疾病。因此,解读miRNA靶标对于诊断和治疗至关重要。然而,进行大规模的miRNA改变筛查并确定其下游miRNA靶标仍然复杂且昂贵。最近,miRNA表达谱和mRNA表达水平的整合分析已被用于成功识别最显著的相互作用。在此,我们提出一种方案,该方案结合表达数据和计算预测来优化微阵列结果以识别miRNA靶标。还提供了许多细节以帮助研究人员为特定类型的应用选择更合适的工具和方法。还总结了用于miRNA靶标功能富集和验证的可用网络资源和实验条件。

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