A combined computational-experimental approach predicts human microRNA targets.

Authors

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

Publication/Presentation Date

5-15-2004

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.

Volume

18

Issue

10

First Page

1165

Last Page

1178

ISSN

0890-9369

Published In/Presented At

Kiriakidou, M., Nelson, P. T., Kouranov, A., Fitziev, P., Bouyioukos, C., Mourelatos, Z., & Hatzigeorgiou, A. (2004). A combined computational-experimental approach predicts human microRNA targets. Genes & development, 18(10), 1165–1178. https://doi.org/10.1101/gad.1184704

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

15131085

Department(s)

Administration and Leadership

Document Type

Article