A combined computational-experimental approach predicts human microRNA targets

来自 NCBI

阅读量:

307

作者:

KiriakidouM.

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摘要:

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.

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DOI:

10.1101/gad.1184704

被引量:

7070

年份:

2004

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来源期刊

Genes & Development
2004/06/01

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2013
被引量:915

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