Literature DB >> 16339902

Mapping Dmef2-binding regulatory modules by using a ChIP-enriched in silico targets approach.

Guillaume Junion1, Teresa Jagla, Sebastien Duplant, Romain Tapin, Jean-Philippe Da Ponte, Krzysztof Jagla.   

Abstract

Mapping the regulatory modules to which transcription factors bind in vivo is a key step toward understanding of global gene expression programs. We have developed a chromatin immunoprecipitation (ChIP)-chip strategy for identifying factor-specific regulatory regions acting in vivo. This method, called the ChIP-enriched in silico targets (ChEST) approach, combines immunoprecipitation of cross-linked protein-DNA complexes (X-ChIP) with in silico prediction of targets and generation of computed DNA microarrays. We report the use of ChEST in Drosophila to identify several previously unknown targets of myocyte enhancer factor 2 (MEF2), a key regulator of myogenic differentiation. Our approach was validated by demonstrating that the identified sequences act as enhancers in vivo and are able to drive reporter gene expression specifically in MEF2-positive muscle cells. Presented here, the ChEST strategy was originally designed to identify regulatory modules in Drosophila, but it can be adapted for any sequenced and annotated genome.

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Year:  2005        PMID: 16339902      PMCID: PMC1317932          DOI: 10.1073/pnas.0507030102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

1.  Functional promoter modules can be detected by formal models independent of overall nucleotide sequence similarity.

Authors:  A Klingenhoff; K Frech; K Quandt; T Werner
Journal:  Bioinformatics       Date:  1999-03       Impact factor: 6.937

2.  Mapping DNA-protein interactions in large genomes by sequence tag analysis of genomic enrichment.

Authors:  Jonghwan Kim; Akshay A Bhinge; Xochitl C Morgan; Vishwanath R Iyer
Journal:  Nat Methods       Date:  2004-12-21       Impact factor: 28.547

3.  Quantitative analysis of binding motifs mediating diverse spatial readouts of the Dorsal gradient in the Drosophila embryo.

Authors:  Dmitri Papatsenko; Michael Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-28       Impact factor: 11.205

4.  Control of Drosophila paramyosin/miniparamyosin gene expression. Differential regulatory mechanisms for muscle-specific transcription.

Authors:  J J Arredondo; R M Ferreres; M Maroto; R M Cripps; R Marco; S I Bernstein; M Cervera
Journal:  J Biol Chem       Date:  2000-11-10       Impact factor: 5.157

5.  A novel Drosophila, mef2-regulated muscle gene isolated in a subtractive hybridization-based molecular screen using small amounts of zygotic mutant RNA.

Authors:  M V Taylor
Journal:  Dev Biol       Date:  2000-04-01       Impact factor: 3.582

6.  Drosophila DNase I footprint database: a systematic genome annotation of transcription factor binding sites in the fruitfly, Drosophila melanogaster.

Authors:  Casey M Bergman; Joseph W Carlson; Susan E Celniker
Journal:  Bioinformatics       Date:  2004-11-30       Impact factor: 6.937

7.  Independent regulatory elements in the upstream region of the Drosophila beta 3 tubulin gene (beta Tub60D) guide expression in the dorsal vessel and the somatic muscles.

Authors:  C Damm; A Wolk; D Buttgereit; K Löher; E Wagner; B Lilly; E N Olson; K Hasenpusch-Theil; R Renkawitz-Pohl
Journal:  Dev Biol       Date:  1998-07-01       Impact factor: 3.582

8.  ladybird determines cell fate decisions during diversification of Drosophila somatic muscles.

Authors:  T Jagla; F Bellard; Y Lutz; G Dretzen; M Bellard; K Jagla
Journal:  Development       Date:  1998-09       Impact factor: 6.868

9.  Requirements of Kettin, a giant muscle protein highly conserved in overall structure in evolution, for normal muscle function, viability, and flight activity of Drosophila.

Authors:  S Hakeda; S Endo; K Saigo
Journal:  J Cell Biol       Date:  2000-01-10       Impact factor: 10.539

10.  MONKEY: identifying conserved transcription-factor binding sites in multiple alignments using a binding site-specific evolutionary model.

Authors:  Alan M Moses; Derek Y Chiang; Daniel A Pollard; Venky N Iyer; Michael B Eisen
Journal:  Genome Biol       Date:  2004-11-30       Impact factor: 13.583

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  15 in total

1.  miR-92b regulates Mef2 levels through a negative-feedback circuit during Drosophila muscle development.

Authors:  Zhimin Chen; Shanshan Liang; Ying Zhao; Zhe Han
Journal:  Development       Date:  2012-08-16       Impact factor: 6.868

2.  Combinatorial binding leads to diverse regulatory responses: Lmd is a tissue-specific modulator of Mef2 activity.

Authors:  Paulo M F Cunha; Thomas Sandmann; E Hilary Gustafson; Lucia Ciglar; Michael P Eichenlaub; Eileen E M Furlong
Journal:  PLoS Genet       Date:  2010-07-01       Impact factor: 5.917

3.  Identification and mapping of protein kinase A binding sites in the costameric protein myospryn.

Authors:  Joseph G Reynolds; Sarah A McCalmon; Thomas Tomczyk; Francisco J Naya
Journal:  Biochim Biophys Acta       Date:  2007-04-14

4.  Myocyte enhancer factor 2A is transcriptionally autoregulated.

Authors:  Bindu Ramachandran; Gengsheng Yu; Shiguang Li; Bangmin Zhu; Tod Gulick
Journal:  J Biol Chem       Date:  2007-12-10       Impact factor: 5.157

Review 5.  Toward a systems-level understanding of developmental regulatory networks.

Authors:  Brian W Busser; Martha L Bulyk; Alan M Michelson
Journal:  Curr Opin Genet Dev       Date:  2008-10-09       Impact factor: 5.578

6.  Genome-wide view of cell fate specification: ladybird acts at multiple levels during diversification of muscle and heart precursors.

Authors:  Guillaume Junion; Laetitia Bataillé; Teresa Jagla; Jean Philippe Da Ponte; Romain Tapin; Krzysztof Jagla
Journal:  Genes Dev       Date:  2007-12-01       Impact factor: 11.361

7.  The transcription factor Mef2 links the Drosophila core clock to Fas2, neuronal morphology, and circadian behavior.

Authors:  Anna Sivachenko; Yue Li; Katharine C Abruzzi; Michael Rosbash
Journal:  Neuron       Date:  2013-07-24       Impact factor: 17.173

Review 8.  Genetic control of muscle development: learning from Drosophila.

Authors:  Tariq Maqbool; Krzysztof Jagla
Journal:  J Muscle Res Cell Motil       Date:  2008-03-18       Impact factor: 3.352

9.  Identification and characterization of a Mef2 transcriptional activator in schistosome parasites.

Authors:  John N Milligan; Emmitt R Jolly
Journal:  PLoS Negl Trop Dis       Date:  2012-01-03

10.  mef2 activity levels differentially affect gene expression during Drosophila muscle development.

Authors:  Stuart J Elgar; Jun Han; Michael V Taylor
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-15       Impact factor: 11.205

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