Suppr超能文献

微小RNA靶标的预测

Prediction of microRNA targets.

作者信息

Mazière Pierre, Enright Anton J

机构信息

Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.

出版信息

Drug Discov Today. 2007 Jun;12(11-12):452-8. doi: 10.1016/j.drudis.2007.04.002. Epub 2007 Apr 26.

Abstract

Recently, microRNAs (miRNAs) have been shown to be important regulators of genes in many organisms and have already been implicated in a growing number of diseases. MiRNAs are short (21-23 nucleotides) RNAs that bind to the 3' untranslated regions of target genes. This binding event causes translational repression of the target gene and, evidence now suggests, also stimulates rapid degradation of the target transcript. miRNAs represent a new species of regulator, controlling the levels of potentially large numbers of proteins, many of which might be important drug targets. The expression of miRNAs shows that they are highly differentially expressed, with specific miRNAs active in certain tissues at certain times. In many cancers, miRNA expression is significantly altered, and this has been shown to be a useful diagnostic tool. Several computational approaches have been developed for the prediction of miRNA targets.

摘要

最近,微小RNA(miRNA)已被证明是许多生物体中基因的重要调节因子,并且已经与越来越多的疾病有关。miRNA是短(21 - 23个核苷酸)RNA,它们与靶基因的3'非翻译区结合。这种结合事件导致靶基因的翻译抑制,并且现在有证据表明,还会刺激靶转录本的快速降解。miRNA代表一种新型调节因子,可控制潜在大量蛋白质的水平,其中许多可能是重要的药物靶点。miRNA的表达表明它们高度差异表达,特定的miRNA在特定时间在某些组织中具有活性。在许多癌症中,miRNA表达发生显著改变,并且这已被证明是一种有用的诊断工具。已经开发了几种计算方法来预测miRNA靶点。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验