Integrative Approaches for microRNA Target Prediction: Combining Sequence Information and the Paired mRNA and miRNA Expression Profiles. 整合方法用于微RNA靶标预测：将序列信息和成对的mRNA和miRNA表达谱相结合。
Integrative Approaches for microRNA Target Prediction: Combining Sequence Information and the Paired mRNA and miRNA Expression Profiles.
发表日期：2013 Feb
作者：
Su Naifang, Qian Minping, Deng Minghua
来源：
Current Bioinformatics
摘要：
基因调控是全面理解分子生物学的关键因素。微小RNA（miRNA）是一种新型非编码RNA类，最近发现是一种关键的后转录调节器，并在癌症中发挥重要作用。了解miRNA调节效应的一个重要步骤是可靠预测它们的靶mRNA。通常，预测仅基于序列信息，这不可避免地存在高误检率。最近，一些新的方法通过将典型算法与miRNA和mRNA的成对表达谱相结合来预测miRNA的靶。在这里，我们回顾和讨论这些综合方法，并提出一种新的算法HCTarget。将HCtarget应用于多发性骨髓瘤的表达数据中，我们预测了十种特定miRNA的靶基因。实验验证和功能丧失研究验证了我们的预测结果。因此，综合方法是预测miRNA靶的可靠和有效的方式，可以改善我们对基因调控的全面理解。
Gene regulation is a key factor in gaining a full understanding of molecular biology. microRNA (miRNA), a novel class of non-coding RNA, has recently been found to be one crucial class of post-transactional regulators, and play important roles in cancer. One essential step to understand the regulatory effect of miRNAs is the reliable prediction of their target mRNAs. Typically, the predictions are solely based on the sequence information, which unavoidably have high false detection rates. Recently, some novel approaches are developed to predict miRNA targets by integrating the typical algorithm with the paired expression profiles of miRNA and mRNA. Here we review and discuss these integrative approaches and propose a new algorithm called HCTarget. Applying HCtarget to the expression data in multiple myeloma, we predict target genes for ten specific miRNAs. The experimental verification and a loss of function study validate our predictions. Therefore, the integrative approach is a reliable and effective way to predict miRNA targets, and could improve our comprehensive understanding of gene regulation.