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Motif-blind, genome-wide discovery of cis-regulatory modules in Drosophila and mouse.


ABSTRACT: We present new approaches to cis-regulatory module (CRM) discovery in the common scenario where relevant transcription factors and/or motifs are unknown. Beginning with a small list of CRMs mediating a common gene expression pattern, we search genome-wide for CRMs with similar functionality, using new statistical scores and without requiring known motifs or accurate motif discovery. We cross-validate our predictions on 31 regulatory networks in Drosophila and through correlations with gene expression data. Five predicted modules tested using an in vivo reporter gene assay all show tissue-specific regulatory activity. We also demonstrate our methods' ability to predict mammalian tissue-specific enhancers. Finally, we predict human CRMs that regulate early blood and cardiovascular development. In vivo transgenic mouse analysis of two predicted CRMs demonstrates that both have appropriate enhancer activity. Overall, 7/7 predictions were validated successfully in vivo, demonstrating the effectiveness of our approach for insect and mammalian genomes.

SUBMITTER: Kantorovitz MR 

PROVIDER: S-EPMC2768654 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature

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Motif-blind, genome-wide discovery of cis-regulatory modules in Drosophila and mouse.

Kantorovitz Miriam R MR   Kazemian Majid M   Kinston Sarah S   Miranda-Saavedra Diego D   Zhu Qiyun Q   Robinson Gene E GE   Göttgens Berthold B   Halfon Marc S MS   Sinha Saurabh S  

Developmental cell 20091001 4


We present new approaches to cis-regulatory module (CRM) discovery in the common scenario where relevant transcription factors and/or motifs are unknown. Beginning with a small list of CRMs mediating a common gene expression pattern, we search genome-wide for CRMs with similar functionality, using new statistical scores and without requiring known motifs or accurate motif discovery. We cross-validate our predictions on 31 regulatory networks in Drosophila and through correlations with gene expre  ...[more]

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