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Detecting microRNA activity from gene expression data |
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| Authors: | Stephen F Madden Susan B Carpenter Ian B Jeffery Harry Björkbacka Katherine A Fitzgerald Luke A O'Neill Desmond G Higgins |
| Institution: | 1.School of Medicine and Medical Science, Conway Institute,University College Dublin,Ireland;2.School of Biochemistry and Immunology,Trinity College Dublin,Ireland;3.National Institute for Cellular Biotechnology,Dublin City University,Glasnevin,Ireland;4.Department of Clinical Sciences,Malm? University Hospital, Lund University,Malm?,Sweden |
| Abstract: | BackgroundMicroRNAs (miRNAs) are non-coding RNAs that regulate gene expression by binding to the messenger RNA (mRNA) of protein coding genes. They control gene expression by either inhibiting translation or inducing mRNA degradation. A number of computational techniques have been developed to identify the targets of miRNAs. In this study we used predicted miRNA-gene interactions to analyse mRNA gene expression microarray data to predict miRNAs associated with particular diseases or conditions. |
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