Literature DB >> 27286495

Identification of MyoD Interactome Using Tandem Affinity Purification Coupled to Mass Spectrometry.

Ekaterina Boyarchuk1, Philippe Robin1, Lauriane Fritsch1, Véronique Joliot2, Slimane Ait-Si-Ali3.   

Abstract

Skeletal muscle terminal differentiation starts with the commitment of pluripotent mesodermal precursor cells to myoblasts. These cells have still the ability to proliferate or they can differentiate and fuse into multinucleated myotubes, which maturate further to form myofibers. Skeletal muscle terminal differentiation is orchestrated by the coordinated action of various transcription factors, in particular the members of the Muscle Regulatory Factors or MRFs (MyoD, Myogenin, Myf5, and MRF4), also called the myogenic bHLH transcription factors family. These factors cooperate with chromatin-remodeling complexes within elaborate transcriptional regulatory network to achieve skeletal myogenesis. In this, MyoD is considered the master myogenic transcription factor in triggering muscle terminal differentiation. This notion is strengthened by the ability of MyoD to convert non-muscle cells into skeletal muscle cells. Here we describe an approach used to identify MyoD protein partners in an exhaustive manner in order to elucidate the different factors involved in skeletal muscle terminal differentiation. The long-term aim is to understand the epigenetic mechanisms involved in the regulation of skeletal muscle genes, i.e., MyoD targets. MyoD partners are identified by using Tandem Affinity Purification (TAP-Tag) from a heterologous system coupled to mass spectrometry (MS) characterization, followed by validation of the role of relevant partners during skeletal muscle terminal differentiation. Aberrant forms of myogenic factors, or their aberrant regulation, are associated with a number of muscle disorders: congenital myasthenia, myotonic dystrophy, rhabdomyosarcoma and defects in muscle regeneration. As such, myogenic factors provide a pool of potential therapeutic targets in muscle disorders, both with regard to mechanisms that cause disease itself and regenerative mechanisms that can improve disease treatment. Thus, the detailed understanding of the intermolecular interactions and the genetic programs controlled by the myogenic factors is essential for the rational design of efficient therapies.

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Year:  2016        PMID: 27286495      PMCID: PMC4942177          DOI: 10.3791/53924

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  36 in total

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Authors:  P L Puri; V Sartorelli
Journal:  J Cell Physiol       Date:  2000-11       Impact factor: 6.384

Review 2.  Skeletal muscle formation in vertebrates.

Authors:  M Buckingham
Journal:  Curr Opin Genet Dev       Date:  2001-08       Impact factor: 5.578

3.  A Suv39h-dependent mechanism for silencing S-phase genes in differentiating but not in cycling cells.

Authors:  Slimane Ait-Si-Ali; Valentina Guasconi; Lauriane Fritsch; Hakima Yahi; Redha Sekhri; Irina Naguibneva; Philippe Robin; Florence Cabon; Anna Polesskaya; Annick Harel-Bellan
Journal:  EMBO J       Date:  2004-02-05       Impact factor: 11.598

4.  Immunoaffinity purification of mammalian protein complexes.

Authors:  Yoshihiro Nakatani; Vasily Ogryzko
Journal:  Methods Enzymol       Date:  2003       Impact factor: 1.600

5.  Lysine methyltransferase G9a methylates the transcription factor MyoD and regulates skeletal muscle differentiation.

Authors:  Belinda Mei Tze Ling; Narendra Bharathy; Teng-Kai Chung; Wai Kay Kok; SiDe Li; Yong Hua Tan; Vinay Kumar Rao; Suma Gopinadhan; Vittorio Sartorelli; Martin J Walsh; Reshma Taneja
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-03       Impact factor: 11.205

6.  The histone variant mH2A1.1 interferes with transcription by down-regulating PARP-1 enzymatic activity.

Authors:  Khalid Ouararhni; Réda Hadj-Slimane; Slimane Ait-Si-Ali; Philippe Robin; Flore Mietton; Annick Harel-Bellan; Stefan Dimitrov; Ali Hamiche
Journal:  Genes Dev       Date:  2006-12-01       Impact factor: 11.361

7.  A subset of the histone H3 lysine 9 methyltransferases Suv39h1, G9a, GLP, and SETDB1 participate in a multimeric complex.

Authors:  Lauriane Fritsch; Philippe Robin; Jacques R R Mathieu; Mouloud Souidi; Hélène Hinaux; Claire Rougeulle; Annick Harel-Bellan; Maya Ameyar-Zazoua; Slimane Ait-Si-Ali
Journal:  Mol Cell       Date:  2010-01-15       Impact factor: 17.970

8.  Signal-dependent incorporation of MyoD-BAF60c into Brg1-based SWI/SNF chromatin-remodelling complex.

Authors:  Sonia V Forcales; Sonia Albini; Lorenzo Giordani; Barbora Malecova; Luca Cignolo; Andrei Chernov; Paula Coutinho; Valentina Saccone; Silvia Consalvi; Roy Williams; Kepeng Wang; Zhenguo Wu; Svetlana Baranovskaya; Andrew Miller; F Jeffrey Dilworth; Pier Lorenzo Puri
Journal:  EMBO J       Date:  2011-11-08       Impact factor: 11.598

9.  The protein composition of mitotic chromosomes determined using multiclassifier combinatorial proteomics.

Authors:  Shinya Ohta; Jimi-Carlo Bukowski-Wills; Luis Sanchez-Pulido; Flavia de Lima Alves; Laura Wood; Zhuo A Chen; Melpi Platani; Lutz Fischer; Damien F Hudson; Chris P Ponting; Tatsuo Fukagawa; William C Earnshaw; Juri Rappsilber
Journal:  Cell       Date:  2010-09-03       Impact factor: 41.582

10.  The SWI/SNF subunit/tumor suppressor BAF47/INI1 is essential in cell cycle arrest upon skeletal muscle terminal differentiation.

Authors:  Véronique Joliot; Ouardia Ait-Mohamed; Valentine Battisti; Julien Pontis; Ophélie Philipot; Philippe Robin; Hidenori Ito; Slimane Ait-Si-Ali
Journal:  PLoS One       Date:  2014-10-01       Impact factor: 3.240

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  1 in total

1.  MyoD- and FoxO3-mediated hotspot interaction orchestrates super-enhancer activity during myogenic differentiation.

Authors:  Xianlu L Peng; Karl K So; Liangqiang He; Yu Zhao; Jiajian Zhou; Yuying Li; Mingze Yao; Bo Xu; Suyang Zhang; Hongjie Yao; Ping Hu; Hao Sun; Huating Wang
Journal:  Nucleic Acids Res       Date:  2017-09-06       Impact factor: 16.971

  1 in total

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