The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
A combined computational-experimental approach predicts human microRNA targets
Open accessAbstract
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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Cites
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Cited by
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
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Combinatorial microRNA target predictions
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Metadata
- Authors
- Kiriakidou, M., Nelson, P. T., Kouranov, A., Fitziev, P., Bouyioukos, C., Mourelatos, Z., & Hatzigeorgiou, A.
- Venue
- Genes & Development
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2004-05-06
- Volume
- 18
- Issue
- 10
- Pages
- 1165-1178
- ISSN
- 0890-9369 (ISSN-L)
- 1549-5477
- OpenAlex
- W2089142809
- Cited by
- 769
- References
- 69
- Type
- posted content
- Language
- en
- Open access
- diamond
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- 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. https://doi.org/10.1101/gad.1184704
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