| Literature DB >> 19853570 |
Miriam R Kantorovitz1, Majid Kazemian, Sarah Kinston, Diego Miranda-Saavedra, Qiyun Zhu, Gene E Robinson, Berthold Göttgens, Marc S Halfon, Saurabh Sinha.
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.Entities:
Mesh:
Substances:
Year: 2009 PMID: 19853570 PMCID: PMC2768654 DOI: 10.1016/j.devcel.2009.09.002
Source DB: PubMed Journal: Dev Cell ISSN: 1534-5807 Impact factor: 12.270