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Träfflista för sökning "WFRF:(O'Neill Luke) srt2:(2010-2014)"

Sökning: WFRF:(O'Neill Luke) > (2010-2014)

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1.
  • Dinarello, Charles, et al. (författare)
  • IL-1 family nomenclature
  • 2010
  • Ingår i: Nature Immunology. - : Nature Publishing Group. - 1529-2908 .- 1529-2916. ; 11:11, s. 973-973
  • Tidskriftsartikel (refereegranskat)
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2.
  • Madden, Stephen F., et al. (författare)
  • Detecting microRNA activity from gene expression data
  • 2010
  • Ingår i: BMC Bioinformatics. - : Springer Science and Business Media LLC. - 1471-2105. ; 11
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: MicroRNAs (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. Results: Here we combine correspondence analysis, between group analysis and co-inertia analysis (CIA) to determine which miRNAs are associated with differences in gene expression levels in microarray data sets. Using a database of miRNA target predictions from TargetScan, TargetScanS, PicTar4way PicTar5way, and miRanda and combining these data with gene expression levels from sets of microarrays, this method produces a ranked list of miRNAs associated with a specified split in samples. We applied this to three different microarray datasets, a papillary thyroid carcinoma dataset, an in-house dataset of lipopolysaccharide treated mouse macrophages, and a multi-tissue dataset. In each case we were able to identified miRNAs of biological importance. Conclusions: We describe a technique to integrate gene expression data and miRNA target predictions from multiple sources.
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