Literature DB >> 19443739

Diversity and complexity in DNA recognition by transcription factors.

Gwenael Badis1, Michael F Berger, Anthony A Philippakis, Shaheynoor Talukder, Andrew R Gehrke, Savina A Jaeger, Esther T Chan, Genita Metzler, Anastasia Vedenko, Xiaoyu Chen, Hanna Kuznetsov, Chi-Fong Wang, David Coburn, Daniel E Newburger, Quaid Morris, Timothy R Hughes, Martha L Bulyk.   

Abstract

Sequence preferences of DNA binding proteins are a primary mechanism by which cells interpret the genome. Despite the central importance of these proteins in physiology, development, and evolution, comprehensive DNA binding specificities have been determined experimentally for only a few proteins. Here, we used microarrays containing all 10-base pair sequences to examine the binding specificities of 104 distinct mouse DNA binding proteins representing 22 structural classes. Our results reveal a complex landscape of binding, with virtually every protein analyzed possessing unique preferences. Roughly half of the proteins each recognized multiple distinctly different sequence motifs, challenging our molecular understanding of how proteins interact with their DNA binding sites. This complexity in DNA recognition may be important in gene regulation and in the evolution of transcriptional regulatory networks.

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Year:  2009        PMID: 19443739      PMCID: PMC2905877          DOI: 10.1126/science.1162327

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  29 in total

1.  Exploring the DNA-binding specificities of zinc fingers with DNA microarrays.

Authors:  M L Bulyk; X Huang; Y Choo; G M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2001-06-12       Impact factor: 11.205

Review 2.  Is there a code for protein-DNA recognition? Probab(ilistical)ly. . .

Authors:  Panayiotis V Benos; Alan S Lapedes; Gary D Stormo
Journal:  Bioessays       Date:  2002-05       Impact factor: 4.345

3.  Additivity in protein-DNA interactions: how good an approximation is it?

Authors:  Panayiotis V Benos; Martha L Bulyk; Gary D Stormo
Journal:  Nucleic Acids Res       Date:  2002-10-15       Impact factor: 16.971

4.  Multiple sequence alignment with the Clustal series of programs.

Authors:  Ramu Chenna; Hideaki Sugawara; Tadashi Koike; Rodrigo Lopez; Toby J Gibson; Desmond G Higgins; Julie D Thompson
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

5.  A statistical model for investigating binding probabilities of DNA nucleotide sequences using microarrays.

Authors:  Mei-Ling Ting Lee; Martha L Bulyk; G A Whitmore; George M Church
Journal:  Biometrics       Date:  2002-12       Impact factor: 2.571

6.  WebLogo: a sequence logo generator.

Authors:  Gavin E Crooks; Gary Hon; John-Marc Chandonia; Steven E Brenner
Journal:  Genome Res       Date:  2004-06       Impact factor: 9.043

7.  Structure of the winged-helix protein hRFX1 reveals a new mode of DNA binding.

Authors:  K S Gajiwala; H Chen; F Cornille; B P Roques; W Reith; B Mach; S K Burley
Journal:  Nature       Date:  2000-02-24       Impact factor: 49.962

8.  High-resolution DNA-binding specificity analysis of yeast transcription factors.

Authors:  Cong Zhu; Kelsey J R P Byers; Rachel Patton McCord; Zhenwei Shi; Michael F Berger; Daniel E Newburger; Katrina Saulrieta; Zachary Smith; Mita V Shah; Mathangi Radhakrishnan; Anthony A Philippakis; Yanhui Hu; Federico De Masi; Marcin Pacek; Andreas Rolfs; Tal Murthy; Joshua Labaer; Martha L Bulyk
Journal:  Genome Res       Date:  2009-01-21       Impact factor: 9.043

9.  Yeast HAP1 activator binds to two upstream activation sites of different sequence.

Authors:  K Pfeifer; T Prezant; L Guarente
Journal:  Cell       Date:  1987-04-10       Impact factor: 41.582

10.  Nucleotides of transcription factor binding sites exert interdependent effects on the binding affinities of transcription factors.

Authors:  Martha L Bulyk; Philip L F Johnson; George M Church
Journal:  Nucleic Acids Res       Date:  2002-03-01       Impact factor: 16.971

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  515 in total

1.  Prediction of regulatory interactions from genome sequences using a biophysical model for the Arabidopsis LEAFY transcription factor.

Authors:  Edwige Moyroud; Eugenio Gómez Minguet; Felix Ott; Levi Yant; David Posé; Marie Monniaux; Sandrine Blanchet; Olivier Bastien; Emmanuel Thévenon; Detlef Weigel; Markus Schmid; François Parcy
Journal:  Plant Cell       Date:  2011-04-22       Impact factor: 11.277

2.  Sequentially acting Sox transcription factors in neural lineage development.

Authors:  Maria Bergsland; Daniel Ramsköld; Cécile Zaouter; Susanne Klum; Rickard Sandberg; Jonas Muhr
Journal:  Genes Dev       Date:  2011-11-15       Impact factor: 11.361

3.  Artificially designed promoters: understanding the role of spatial features and canonical binding sites in transcription.

Authors:  Martina Baumann; Marc P Höppner; Michael Meier; Jens Pontiller; Wolfgang Ernst; Reingard Grabherr; Evan Mauceli; Manfred G Grabherr
Journal:  Bioeng Bugs       Date:  2012-03-01

4.  Improved models for transcription factor binding site identification using nonindependent interactions.

Authors:  Yue Zhao; Shuxiang Ruan; Manishi Pandey; Gary D Stormo
Journal:  Genetics       Date:  2012-04-13       Impact factor: 4.562

5.  Experimental snapshots of a protein-DNA binding landscape.

Authors:  Ignacio E Sánchez; Diego U Ferreiro; Mariano Dellarole; Gonzalo de Prat-Gay
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-07       Impact factor: 11.205

Review 6.  Specific sides to multifaceted glycosaminoglycans are observed in embryonic development.

Authors:  Kenneth L Kramer
Journal:  Semin Cell Dev Biol       Date:  2010-07-03       Impact factor: 7.727

7.  Toward single-molecule optical mapping of the epigenome.

Authors:  Michal Levy-Sakin; Assaf Grunwald; Soohong Kim; Natalie R Gassman; Anna Gottfried; Josh Antelman; Younggyu Kim; Sam O Ho; Robin Samuel; Xavier Michalet; Ron R Lin; Thomas Dertinger; Andrew S Kim; Sangyoon Chung; Ryan A Colyer; Elmar Weinhold; Shimon Weiss; Yuval Ebenstein
Journal:  ACS Nano       Date:  2013-12-20       Impact factor: 15.881

8.  Minimum epistasis interpolation for sequence-function relationships.

Authors:  Juannan Zhou; David M McCandlish
Journal:  Nat Commun       Date:  2020-04-14       Impact factor: 14.919

9.  Comparative Analysis of the IclR-Family of Bacterial Transcription Factors and Their DNA-Binding Motifs: Structure, Positioning, Co-Evolution, Regulon Content.

Authors:  Inna A Suvorova; Mikhail S Gelfand
Journal:  Front Microbiol       Date:  2021-06-10       Impact factor: 5.640

Review 10.  ChIP-seq and beyond: new and improved methodologies to detect and characterize protein-DNA interactions.

Authors:  Terrence S Furey
Journal:  Nat Rev Genet       Date:  2012-10-23       Impact factor: 53.242

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