A combined computational-experimental approach predicts human microRNA targets
A combined computational-experimental approach predicts human microRNA targets
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DOI：
10.1101/gad.1184704
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发表时间：
2004-05-15
影响因子：
10.5
通讯作者：
Hatzigeorgiou, A
中科院分区：
文献类型：
--
作者：
Kiriakidou, M;Nelson, PT;Hatzigeorgiou, A
随着microRNA（miRNAs）的发现，基因表达调控的新范式已经出现。大多数（如果不是全部的话）miRNA被认为控制基因表达，主要是通过与其信使RNA（mRNA）靶标中发现的miRNA识别元件（MRE）进行碱基配对。尽管已经报道了大量的人类miRNAs，但它们的许多mRNA靶点仍然未知。在这里，我们使用生物信息学和实验方法相结合，以确定重要的规则管理miRNA-MRE识别，允许预测人类miRNA的目标。我们描述了一个计算程序，“DIANA-microT”，识别mRNA的目标，动物的miRNA和预测mRNA的目标，轴承单MRE，为人类和小鼠的miRNA。
A new paradigm of gene expression regulation has emerged recently with the discovery of microRNAs (miRNAs). Most, if not all, miRNAs are thought to control gene expression, mostly by base pairing with miRNA-recognition elements (MREs) found in their messenger RNA (mRNA) targets. Although a large number of human miRNAs have been reported, many of their mRNA targets remain unknown. Here we used a combined bioinformatics and experimental approach to identify important rules governing miRNA-MRE recognition that allow prediction of human miRNA targets. We describe a computational program, "DIANA-microT", that identifies mRNA targets for animal miRNAs and predicts mRNA targets, bearing single MREs, for human and mouse miRNAs.