Defining embryonic stem cell identity using differentiation-related microRNAs and their potential targets

Defining embryonic stem cell identity using differentiation-related microRNAs and their potential... Defining the identity of embryonic stem (ES) cells in quantitative molecular terms is a prerequisite to understanding their functional characteristics. Little is known about the role of microRNAs (miRNAs) in the regulation of ES cell identity. Statistical analysis of miRNA expression revealed unique expression signatures that could definitively classify mouse ES (mES), embryoid bodies (mEB), and somatic tissues. Analysis of these data sets also provides further confirmation of the nonrestrictive expression of miRNAs during murine development. Using combined genome-wide expression analyses of both miRNAs and mRNAs, we observed both negative and positive correlations in gene expression between miRNAs and their predicted targets. ES-specific miRNAs were positively correlated with their predicted targets, suggesting that mES-specific miRNAs may have a different role or mechanism in regulating their targets in mES maintenance or differentiation. The concept of cellular identity has changed with technology; this study redefines cellular identity by a generic statistical method of known dimension. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Mammalian Genome Springer Journals

Defining embryonic stem cell identity using differentiation-related microRNAs and their potential targets

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Publisher
Springer-Verlag
Copyright
Copyright © 2007 by Springer Science+Business Media, LLC
Subject
Life Sciences; Zoology ; Anatomy ; Cell Biology
ISSN
0938-8990
eISSN
1432-1777
D.O.I.
10.1007/s00335-007-9032-6
Publisher site
See Article on Publisher Site

Abstract

Defining the identity of embryonic stem (ES) cells in quantitative molecular terms is a prerequisite to understanding their functional characteristics. Little is known about the role of microRNAs (miRNAs) in the regulation of ES cell identity. Statistical analysis of miRNA expression revealed unique expression signatures that could definitively classify mouse ES (mES), embryoid bodies (mEB), and somatic tissues. Analysis of these data sets also provides further confirmation of the nonrestrictive expression of miRNAs during murine development. Using combined genome-wide expression analyses of both miRNAs and mRNAs, we observed both negative and positive correlations in gene expression between miRNAs and their predicted targets. ES-specific miRNAs were positively correlated with their predicted targets, suggesting that mES-specific miRNAs may have a different role or mechanism in regulating their targets in mES maintenance or differentiation. The concept of cellular identity has changed with technology; this study redefines cellular identity by a generic statistical method of known dimension.

Journal

Mammalian GenomeSpringer Journals

Published: Jul 3, 2007

References

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