Identification of microRNAs with regulatory potential using a matched microRNA-mRNA time-course data Export

@article{Jayaswal09, abstract = {Over the past decade, a class of small RNA molecules called microRNAs (miRNAs) has been shown to regulate gene expression at the post-transcription stage. While early work focused on the identification of miRNAs using a combination of experimental and computational techniques, subsequent studies have focused on identification of miRNA-target mRNA pairs as each miRNA can have hundreds of mRNA targets. The experimental validation of some miRNAs as oncogenic has provided further motivation for research in this area. In this article we propose an odds-ratio (OR) statistic for identification of regulatory miRNAs. It is based on integrative analysis of matched miRNA and mRNA time-course microarray data. The OR-statistic was used for (i) identification of miRNAs with regulatory potential, (ii) identification of miRNA-target mRNA pairs and (iii) identification of time lags between changes in miRNA expression and those of its target mRNAs. We applied the OR-statistic to a cancer data set and identified a small set of miRNAs that were negatively correlated to mRNAs. A literature survey revealed that some of the miRNAs that were predicted to be regulatory, were indeed oncogenic or tumor suppressors. Finally, some of the predicted miRNA targets have been shown to be experimentally valid. 10.1093/nar/gkp153}, author = {Jayaswal, Vivek and Lutherborrow, Mark and Ma, David D. F. and Hwa Yang, Yee}, citeulike-article-id = {4212890}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gkp153}, citeulike-linkout-1 = {http://nar.oxfordjournals.org/content/37/8/e60.abstract}, citeulike-linkout-2 = {http://nar.oxfordjournals.org/content/37/8/e60.full.pdf}, citeulike-linkout-3 = {http://nar.oxfordjournals.org/cgi/content/abstract/37/8/e60}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/19295134}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=19295134}, day = {1}, doi = {10.1093/nar/gkp153}, issn = {1362-4962}, journal = {Nucl. Acids Res.}, keywords = {bioinformatics, biostatistics, identification, microrna, mirna}, month = {May}, number = {8}, pages = {e60+}, posted-at = {2009-09-02 08:51:25}, priority = {3}, title = {Identification of microRNAs with regulatory potential using a matched microRNA-mRNA time-course data}, url = {http://dx.doi.org/10.1093/nar/gkp153}, volume = {37}, year = {2009} }

TY - JOUR ID - Jayaswal09 L3 - citeulike-article-id:4212890 N2 - Over the past decade, a class of small RNA molecules called microRNAs (miRNAs) has been shown to regulate gene expression at the post-transcription stage. While early work focused on the identification of miRNAs using a combination of experimental and computational techniques, subsequent studies have focused on identification of miRNA-target mRNA pairs as each miRNA can have hundreds of mRNA targets. The experimental validation of some miRNAs as oncogenic has provided further motivation for research in this area. In this article we propose an odds-ratio (OR) statistic for identification of regulatory miRNAs. It is based on integrative analysis of matched miRNA and mRNA time-course microarray data. The OR-statistic was used for (i) identification of miRNAs with regulatory potential, (ii) identification of miRNA-target mRNA pairs and (iii) identification of time lags between changes in miRNA expression and those of its target mRNAs. We applied the OR-statistic to a cancer data set and identified a small set of miRNAs that were negatively correlated to mRNAs. A literature survey revealed that some of the miRNAs that were predicted to be regulatory, were indeed oncogenic or tumor suppressors. Finally, some of the predicted miRNA targets have been shown to be experimentally valid. 10.1093/nar/gkp153 IS - 8 JF - Nucl. Acids Res. SN - 1362-4962 TI - Identification of microRNAs with regulatory potential using a matched microRNA-mRNA time-course data VL - 37 SP - e60 KW - bioinformatics KW - biostatistics KW - identification KW - microrna KW - mirna AU - Jayaswal, Vivek AU - Lutherborrow, Mark AU - Ma, David AU - Hwa Yang, Yee PY - 2009/05/01/ UR - http://dx.doi.org/10.1093/nar/gkp153 ER -