Diversity and Complexity in DNA Recognition by Transcription Factors-Reference-Cited by-同舟云学术

Diversity and Complexity in DNA Recognition by Transcription Factors

Published:2009-06-26 Issue:5935 Volume:324 Page:1720-1723
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Badis Gwenael¹,Berger Michael F.²³,Philippakis Anthony A.²³⁴,Talukder Shaheynoor¹⁵,Gehrke Andrew R.²,Jaeger Savina A.²,Chan Esther T.⁵,Metzler Genita⁶,Vedenko Anastasia⁷,Chen Xiaoyu¹,Kuznetsov Hanna⁶,Wang Chi-Fong⁸,Coburn David¹,Newburger Daniel E.²,Morris Quaid¹⁵⁹¹⁰,Hughes Timothy R.¹⁵¹⁰,Bulyk Martha L.²³⁴¹¹

Affiliation:

1. Banting and Best Department of Medical Research, University of Toronto, Toronto, ON M5S 3E1, Canada.

2. Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA.

3. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA.

4. Harvard–Massachusetts Institute of Technology (MIT) Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA.

5. Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.

6. Department of Biology, MIT, Cambridge, MA 02139, USA.

7. Department of Biology, Wellesley College, Wellesley, MA 02481, USA.

8. Department of Physics, MIT, Cambridge, MA 02139, USA.

9. Department of Computer Science, University of Toronto, Toronto, ON M5S 3G4, Canada.

10. Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada.

11. Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA.

Abstract

Transcriptional Regulation Gets More Complicated Sequence preferences of DNA binding proteins are a primary mechanism by which cells interpret the genome. A central goal in genome biology is to identify regulatory sequences in the genome; however, few proteins' DNA binding specificities have been characterized comprehensively. Badis et al. (p. 1720 , published online 14 May) studied 104 known and predicted transcription factors (TFs), spanning 22 structural classes, in the mouse genome. While traditional models of TF binding sites are based on a single collection of highly similar DNA sequences, binding profiles were represented better by multiple motifs. Roughly half of the TFs recognized distinct primary and secondary motifs that are different from each other. At least some of these interaction modes appeared to be attributable to biophysically distinct protein conformations, adding to the complexity of transcriptional regulation.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference33 articles.

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