A combined computational-experimental approach predicts human microRNA targets.

By M. Kiriakidou, Peter T. Nelson, Andrei Kouranov, Petko Fitziev, Costas Bouyioukos, Zissimos Mourelatos, Artemis G. Hatzigeorgiou. Genes & Development, 2004

854 citations recorded by the source corpus.

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.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/1628ecb9cf53ac1a74a047f1e3a131c92777a9cc

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Citations in the corpus

MiR-15a and miR-16-1 cluster functions in human leukemia (2008, background): “The direct interactions with BCL2 and DMTF1 were proved by us and others (7, 22).”
MicroRNA: Biogenesis, Function and Role in Cancer (2010, background): “However, exceptions have been noted which suggest unidentified additional requirements might be necessary for slicerdependent mRNA cleavage [86, 93, 157, 160, 174, 180].”
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miRGen: a database for the study of animal microRNA genomic organization and function (2006, background): “In a recent comparative study of five widely used mammalian target prediction programs, TargetScan (20), DIANA-microT (19), miRanda *To whom correspondence should be addressed.”
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