Evidence map›Paper›PMID 27286495›Full record

ArticleJournal of visualized experiments : JoVE2016

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

Ekaterina Boyarchuk, Philippe Robin, Lauriane Fritsch, Véronique Joliot, Slimane Ait-Si-Ali

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Ekaterina BoyarchukEpigenetics and Cell Fate, UMR 7216 CNRS, Centre National de la Recherche Scientifique CNRS - Université Paris Diderot, Sorbonne Paris Cité
Philippe RobinEpigenetics and Cell Fate, UMR 7216 CNRS, Centre National de la Recherche Scientifique CNRS - Université Paris Diderot, Sorbonne Paris Cité
Lauriane FritschEpigenetics and Cell Fate, UMR 7216 CNRS, Centre National de la Recherche Scientifique CNRS - Université Paris Diderot, Sorbonne Paris Cité
Véronique JoliotEpigenetics and Cell Fate, UMR 7216 CNRS, Centre National de la Recherche Scientifique CNRS - Université Paris Diderot, Sorbonne Paris Cité; veronique.joliot@univ-paris-diderot.fr.
Slimane Ait-Si-AliEpigenetics and Cell Fate, UMR 7216 CNRS, Centre National de la Recherche Scientifique CNRS - Université Paris Diderot, Sorbonne Paris Cité; slimane.aitsiali@univ-paris-diderot.fr.
Centre National pour la Recherche Scientifique et Technique (CNRST) · MACentre National de la Recherche Scientifique · FREpigénétique et Destin Cellulaire · FRSorbonne Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Mass SpectrometryCell DifferentiationHumansMuscle, SkeletalMyoD ProteinMyogeninTranscription FactorsMyoD ProteinMyogeninTranscription Factors

Identifiers

PMID27286495
PMCPMC4942177
OpenAlexW2406304535

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.