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Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression

Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression

Richipal Singh Bindra, Jason T. L. Wang, Paramjeet Singh Bagga
Copyright: © 2010 |Volume: 1 |Issue: 3 |Pages: 16
ISSN: 1947-9115|EISSN: 1947-9123|EISBN13: 9781609609771|DOI: 10.4018/jkdb.2010070106
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MLA

Bindra, Richipal Singh, et al. "Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression." IJKDB vol.1, no.3 2010: pp.97-112. http://doi.org/10.4018/jkdb.2010070106

APA

Bindra, R. S., Wang, J. T., & Bagga, P. S. (2010). Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression. International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 1(3), 97-112. http://doi.org/10.4018/jkdb.2010070106

Chicago

Bindra, Richipal Singh, Jason T. L. Wang, and Paramjeet Singh Bagga. "Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression," International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 1, no.3: 97-112. http://doi.org/10.4018/jkdb.2010070106

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Abstract

MicroRNAs (miRNAs) are short single-stranded RNA molecules with 21-22 nucleotides known to regulate post-transcriptional expression of protein-coding genes involved in most of the cellular processes. Prediction of miRNA targets is a challenging bioinformatics problem. AU-rich elements (AREs) are regulatory RNA motifs found in the 3’ untranslated regions (UTRs) of mRNAs, and they play dominant roles in the regulated decay of short-lived human mRNAs via specific interactions with proteins. In this paper, the authors review several miRNA target prediction tools and data sources, as well as computational methods used for the prediction of AREs. The authors discuss the connection between miRNA and ARE-mediated post-transcriptional gene regulation. Finally, a data mining method for identifying the co-occurrences of miRNA target sites in ARE containing genes is presented.

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