A Combined Computational-experimental Approach Predicts Human MicroRNA Targets

Overview

Journal Genes Dev

Specialty Molecular Biology

Date 2004 May 8

PMID 15131085

Citations 309

Authors

Marianthi Kiriakidou

Peter T Nelson

Andrei Kouranov

Petko Fitziev

Costas Bouyioukos

Zissimos Mourelatos

Artemis Hatzigeorgiou

Affiliations

Soon will be listed here.

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.

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