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Bioinformatics 2006 22(16):2005-2011; doi:10.1093/bioinformatics/btl343
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© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Identification of regulatory modules by co-clustering latent variable models: stem cell differentiation

Je-Gun Joung 1,{dagger}, Dongho Shin 3,{dagger}, Rho Hyun Seong 3,* and Byoung-Tak Zhang 1,2,*

1 Center for Bioinformation Technology, Institute of Molecular Biology and Genetics and Department of Biological Sciences, Seoul National University Seoul 151-742, Republic of Korea
2 School of Computer Science and Engineering, Institute of Molecular Biology and Genetics and Department of Biological Sciences, Seoul National University Seoul 151-742, Republic of Korea
3 Research Center for Functional Cellulomics, Institute of Molecular Biology and Genetics and Department of Biological Sciences, Seoul National University Seoul 151-742, Republic of Korea

*To whom correspondence should be addressed.


   Abstract

Motivation: An important issue in stem cell biology is to understand how to direct differentiation towards a specific cell type. To elucidate the mechanism, previous studies have focused on identifying the responsible gene regulators, which have, however, failed to provide a systemic view of regulatory modules. To obtain a unified description of the regulatory modules, we characterized major stem cell species by employing a co-clustering latent variable model (LVM). The LVM-based method allowed us to elucidate the cell type-specific transcription factors, using genomic sequences as well as expression profiles.

Results: We used a list of genes enriched in each of 21 stem cell subpopulations, and their upstream genomic sequences. The LVM-based study allowed us to uncover the regulatory modules for each stem cell cluster, e.g. GABP and E2F for the proliferation phase, and Ap2{alpha} and Ap2{gamma} for the quiescence phase. Furthermore, the identities of the stem cell clusters were well revealed by the constituent genes that were directly targeted by the modules. Consequently, our analytical framework was demonstrated to be useful through a detailed case study of stem cell differentiation and can be applied to problems with similar characteristics.

Contact: btzhang{at}bi.snu.ac.kr, rhseong{at}snu.ac.kr

Supplementary Information: Supplementary data are available at http://bi.snu.ac.kr/Publications/LVM_SC/.

{dagger}The authors wish it to be known that ‘in their opinion’ the first two authors should be regarded as joint First Authors.

Associate Editor: Chris Stoeckert


Received on February 26, 2006; revised on May 10, 2006; accepted on June 20, 2006

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J.-G. Joung, K.-B. Hwang, J.-W. Nam, S.-J. Kim, and B.-T. Zhang
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