A combined computational-experimental approach predicts human microRNA targets

Marianthi Kiriakidou, Peter T. Nelson, Andrei Kouranov, Petko Fitziev, Costas Bouyioukos, Zissimos Mourelatos, Artemis Hatzigeorgiou

Research output: Contribution to journalArticlepeer-review

648 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1165-1178
Number of pages14
JournalGenes and Development
Volume18
Issue number10
DOIs
StatePublished - May 15 2004

Keywords

  • Argonaute
  • Bioinformatics
  • MicroRNA
  • MicroRNA targets
  • MicroRNP
  • RNAi

ASJC Scopus subject areas

  • General Medicine

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