miRNA靶点预测与鉴定研究进展。

Wei Xia, GuoJun Cao, NingSheng Shao
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引用次数: 43

摘要

近年来,miRNA靶点的鉴定备受关注。确定miRNA靶点的策略包括生物信息学预测和实验分析。生物信息学预测方法主要基于mirna与靶标之间确定的相互作用规律,采用miRanda、TargetScan、TargetScanS、RNAhybrid、DIANA-microT、PicTar、RNA22和FindTar等程序,遵循众所周知的原理进行预测。寻找miRNA靶点的实验分析采用AGO蛋白的免疫沉淀来鉴定相互作用的mRNA,或分析mRNA或蛋白水平来鉴定可被miRNA调节的基因。现有生物信息学和实验分析方法的改进以及新型分析方法的开发将使miRNA靶点的鉴定效率更高,从而促进miRNA的研究。本文综述了miRNA靶点的预测和鉴定进展。
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Progress in miRNA target prediction and identification.

Recently, the identification of miRNA targets has received much attention. The strategies to determine miRNA targets include bioinformatic prediction and experimental assays. The bioinformatic prediction methods are mainly based on the confirmed rules of interaction between miRNAs and their targets, and are carried out by programs, such as miRanda, TargetScan, TargetScanS, RNAhybrid, DIANA-microT, PicTar, RNA22 and FindTar, which follow well-known principles. The experimental assays to find miRNA targets employ immunoprecipitation of AGO proteins to identify interacting mRNAs, or the analysis of mRNA or protein levels to identify genes which can be regulated by miRNAs. The improvement of current bioinformatic and experimental assays and the development of novel assays will enable greater efficiency in the identification of miRNA targets and thus facilitate miRNA research. This paper describes progress in the prediction and identification of miRNA targets.

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