Inference of Gene Regulation via miRNAs During ES Cell Differentiation Using MiRaGE Method
1
Department of Physics, Faculty of Science and Engineering, Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo 112-8551, Japan
2
Tohoku University School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan
3
Department of Cell Biology, the JFCR-Cancer Institute, 3-8-31, Ariake, Koto-ku, Tokyo 135-8550, Japan
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2011, 12(12), 9265-9276; https://doi.org/10.3390/ijms12129265
Received: 24 October 2011 / Revised: 22 November 2011 / Accepted: 29 November 2011 / Published: 12 December 2011
(This article belongs to the Special Issue Non-Coding RNAs)
MicroRNA (miRNA) is a critical regulator of cell growth, differentiation, and development. To identify important miRNAs in a biological process, many bioinformatical tools have been developed. We have developed MiRaGE (MiRNA Ranking by Gene Expression) method to infer the regulation of gene expression by miRNAs from changes of gene expression profiles. The method does not require precedent array normalization. We applied the method to elucidate possibly important miRNAs during embryonic stem (ES) cell differentiation to neuronal cells and we infer that certain miRNAs, including miR-200 family, miR-429, miR-302 family, and miR-17-92 cluster members may be important to the maintenance of undifferentiated status in ES cells.
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Keywords:
miRNA; embryonic stem cell; MiRaGE metheod
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MDPI and ACS Style
Yoshizawa, M.; Taguchi, Y.-H.; Yasuda, J. Inference of Gene Regulation via miRNAs During ES Cell Differentiation Using MiRaGE Method. Int. J. Mol. Sci. 2011, 12, 9265-9276.
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