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Author Topic: Bioinformatics reveals unique characteristics of Human microRNA-mRNA interactions
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BMC Bioinformatics. September 28 2004.

A population-based statistical approach identifies parameters characteristic of human microRNA-mRNA interactions

Neil R Smalheiser, and Vetle I Torvik

Neil R Smalheiser: smalheiser@psych.uic.edu; Vetle I Torvik: vtorvik@uic.edu

Received April 12, 2004; Accepted September 28, 2004.

Copyright © 2004 Smalheiser and Torvik; licensee BioMed Central Ltd.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BMC Bioinformatics. 2004; 5: 139.
doi: 10.1186/1471-2105-5-139. Published online 2004 September 28.

Abstract
Background
MicroRNAs are ~17–24 nt. noncoding RNAs found in all eukaryotes that degrade messenger RNAs via RNA interference (if they bind in a perfect or near-perfect complementarity to the target mRNA), or arrest translation (if the binding is imperfect). Several microRNA targets have been identified in lower organisms, but only one mammalian microRNA target has yet been validated experimentally.

Results
We carried out a population-wide statistical analysis of how human microRNAs interact complementarily with human mRNAs, looking for characteristics that differ significantly as compared with scrambled control sequences. These characteristics were used to identify a set of 71 outlier mRNAs unlikely to have been hit by chance.

Unlike the case in C. elegans and Drosophila, many human microRNAs exhibited long exact matches (10 or more bases in a row), up to and including perfect target complementarity. Human microRNAs hit outlier mRNAs within the protein coding region about 2/3 of the time. And, the stretches of perfect complementarity within microRNA hits onto outlier mRNAs were not biased near the 5'-end of the microRNA. In several cases, an individual microRNA hit multiple mRNAs that belonged to the same functional class.

Conclusions
The analysis supports the notion that sequence complementarity is the basis by which microRNAs recognize their biological targets, but raises the possibility that human microRNA-mRNA target interactions follow different rules than have been previously characterized in Drosophila and C. elegans.

View Full Text at Biomed Central BMC Bioinformatics

[ 03. December 2004, 21:27: Message edited by: ISCID News Editor ]

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