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. bros 1999;Seggerson et al. 2002;Zeng et al. 2002;Doench et al. 2003). The manner by which a miRNA or siRNA base pairs with its mRNA target correlates with its function: if the complementarity between a miRNA and its target is extensive, the RNA target is cleaved (Hutvagner and Zamore 2002;Llave et al. 2002;Rhoades et al. 2002;Tang et al. 2003;Xie et al. 2003); if the complementarity is partial, the stability of the target mRNA in not affected but its translation is repressed (Olsen and Ambros 1999;Seggerson et al. 2002;Zeng et al. 2002;Doench et al. 2003). However, how general this correlation is and the factors and mechanisms that determine the function of any given miRNA are unknown.