Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai 200433, China.
Genomics Proteomics Bioinformatics. 2012 Oct;10(5):264-75. doi: 10.1016/j.gpb.2012.09.003. Epub 2012 Oct 23.
MicroRNAs (miRNAs), a class of ~20-24 nt long non-coding RNAs, have critical roles in diverse biological processes including development, proliferation, stress response, etc. With the development and availability of experimental technologies and computational approaches, the field of miRNA biology has advanced tremendously over the last decade. By sequence complementarity, miRNAs have been estimated to regulate certain mRNA transcripts. Although it was once thought to be simple and straightforward to find plant miRNA targets, this viewpoint is being challenged by genetic and biochemical studies. In this review, we summarize recent progress in plant miRNA target recognition mechanisms, principles of target prediction, and introduce current experimental and computational tools for plant miRNA target prediction. At the end, we also present our thinking on the outlook for future directions in the development of plant miRNA target finding methods.
MicroRNAs (miRNAs)，一类约 20-24 个核苷酸长的非编码 RNA，在包括发育、增殖、应激反应等在内的多种生物学过程中具有关键作用。随着实验技术和计算方法的发展和可用性，miRNA 生物学领域在过去十年中取得了巨大进展。通过序列互补性，miRNAs 被估计可以调控某些 mRNA 转录本。尽管曾经认为简单直接地找到植物 miRNA 靶标，但这种观点受到遗传和生化研究的挑战。在这篇综述中，我们总结了植物 miRNA 靶标识别机制、靶标预测原理的最新进展，并介绍了当前用于植物 miRNA 靶标预测的实验和计算工具。最后，我们还对植物 miRNA 靶标发现方法的未来发展方向提出了我们的思考。
