A custom microarray platform for analysis of microRNA gene expression Public Deposited

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Creator
  • Thomson, J Michael
    • Affiliation: School of Medicine, Department of Cell Biology and Physiology
  • Parker, Joel
    • Affiliation: N.C. Cancer Hospital, UNC Lineberger Comprehensive Cancer Center, School of Medicine
  • Hammond, Scott
    • Affiliation: N.C. Cancer Hospital, UNC Lineberger Comprehensive Cancer Center, School of Medicine, Department of Cell Biology and Physiology
  • Perou, Charles
    • ORCID: https://orcid.org/0000-0001-9827-2247
    • Affiliation: School of Medicine, Department of Genetics, Department of Pathology and Laboratory Medicine, N.C. Cancer Hospital, UNC Lineberger Comprehensive Cancer Center
Abstract
  • MicroRNAs are short, noncoding RNA transcripts that post-transcriptionally regulate gene expression. Several hundred microRNA genes have been identified in Caenorhabditis elegans, Drosophila, plants and mammals. MicroRNAs have been linked to developmental processes in C. elegans, plants and humans and to cell growth and apoptosis in Drosophila. A major impediment in the study of microRNA function is the lack of quantitative expression profiling methods. To close this technological gap, we have designed dual-channel microarrays that monitor expression levels of 124 mammalian microRNAs. Using these tools, we observed distinct patterns of expression among adult mouse tissues and embryonic stem cells. Expression profiles of staged embryos demonstrate temporal regulation of a large class of microRNAs, including members of the let-7 family. This microarray technology enables comprehensive investigation of microRNA expression, and furthers our understanding of this class of recently discovered noncoding RNAs.
Date of publication
Identifier
  • doi:10.1038/nmeth704
  • 2-s2.0-13944262052
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Resource type
  • Article
Rights statement
  • In Copyright
Journal title
  • Nature Methods
Journal volume
  • 1
Journal issue
  • 1
Page start
  • 47
Page end
  • 53
Language
  • English
Version
  • Postprint
ISSN
  • 1548-7105
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