Genes & Genomics

, Volume 34, Issue 2, pp 205–216

Analysis of putative miRNA function using a novel approach, GAPPS-miRTarGE

Authors

  • Seung Gu Park
    • Department of Medical Biotechnology, College of Biomedical Science, and Institute of Bioscience & BiotechnologyKangwon National University
  • Kyung-Hoon Kwon
    • Korean Basic Science Institute
    • Department of Medical Biotechnology, College of Biomedical Science, and Institute of Bioscience & BiotechnologyKangwon National University
Research Article

DOI: 10.1007/s13258-011-0233-8

Cite this article as:
Park, S.G., Kwon, K. & Choi, S.S. Genes Genom (2012) 34: 205. doi:10.1007/s13258-011-0233-8
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Abstract

Deciphering the function of miRNA is one of the most important research subjects directed toward understanding the regulation of gene expression. Several experimental methodologies and bioinformatics programs have been developed, however, elucidating miRNA function has not been an easy task. Herein, we suggest a new method, GAPPS-miRTarGE, which is a novel methodology for predicting miRNA function based on the proportion of mRNA targets expressed during embryonic developmental stages, the Theilers stages (TS), in mice. GAPPS-miRTarGE is essentially a computational approach that groups miRNAs using shared expression patterns of their target genes during the 28 different TS. In this study, we present not only several examples derived from the GAPPS-miRTarGE analyses that confirm previously known miRNA functions but also examples of function prediction for valid but functionally unknown miRNAs. Furthermore, we show that tissue-centered GAPPS-miRTarGE, such as brain-centered or heart-centered, is useful for predicting miRNA function on a more detailed level.

Keywords

Prediction of microRNA functionmiRNA targetmRNA expression profileEmbryonic developmental stage
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Supplementary material

13258_2011_233_MOESM1_ESM.xls (179 kb)
Supplementary material, approximately 179 KB.
13258_2011_233_MOESM2_ESM.xls (137 kb)
Supplementary material, approximately 137 KB.
13258_2011_233_MOESM3_ESM.xls (137 kb)
Supplementary material, approximately 137 KB.
13258_2011_233_MOESM4_ESM.xlsx (55 kb)
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Copyright information

© The Genetics Society of Korea and Springer Netherlands 2012