Finding MicroRNA Targets in Plants: Current Status and Perspectives  

作　　者：Jiandong Ding Shuigeng Zhou Jihong Guan 

机构地区：[1]Shanghai Key Laboratory of Intelligent Information Processing,Fudan University,Shanghai 200433,China [2]School of Computer Science,Fudan University,Shanghai 200433,China [3]Department of Computer Science and Technology,Tongji University,Shanghai 201804,China

出　　处：《Genomics, Proteomics & Bioinformatics》2012年第5期264-275,共12页基因组蛋白质组与生物信息学报（英文版）

基　　金：supported by Major State Basic Research and Development Program of China (973 Program) (Grant No. 2010CB126604);NSFC (Grant No. 61272380);supported by NSFC (Grant No. 61173118);the Shuguang Program of Shanghai Education Foundation

摘　　要：MicroRNAs （miRNAs）, a class of ～20-24 nt long non-coding RNAs, have critical roles in diverse biological processes including devel- opment, 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 miR NA 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）, a class of ～20-24 nt long non-coding RNAs, have critical roles in diverse biological processes including devel- opment, 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 miR NA 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.

关 键 词：MICRORNA Target prediction Degradome-seq INTEGRATION 

分 类 号：Q522[生物学—生物化学] S816.7[农业科学—饲料科学]