Evidence map›Paper›PMID 28117796›Full record

ArticleJournal of visualized experiments : JoVE2017

In Vitro Differentiation of Mature Myofibers for Live Imaging.

Mafalda R Pimentel, Sestina Falcone, Bruno Cadot, Edgar R Gomes

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In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

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  10. AnJournal of the Royal Society, Interface · 2024
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  19. Neuromuscular disease modeling on a chip.Disease models & mechanisms · 2020
    Review
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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

4 authors.

Mafalda R PimentelInstituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa.
Sestina FalconeMyology Research Center, UM76-INSERM U974-CNRS FRE 361, Sorbonne University, UPMC University of Paris 6.
Bruno CadotMyology Research Center, UM76-INSERM U974-CNRS FRE 361, Sorbonne University, UPMC University of Paris 6.
Edgar R GomesInstituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa; Myology Research Center, UM76-INSERM U974-CNRS FRE 361, Sorbonne University, UPMC University of Paris 6; edgargomes@medicina.ulisboa.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscles are composed of myofibers, the biggest cells in the mammalian body and one of the few syncytia. How the complex and evolutionarily conserved structures that compose it are assembled remains under investigation. Their size and physiological features often constrain manipulation and imaging applications. The culture of immortalized cell lines is widely used, but it can only replicate the early steps of differentiation. Here, we describe a protocol that enables easy genetic manipulation of myofibers originating from primary mouse myoblasts. After one week of differentiation, the myofibers display contractility, aligned sarcomeres and triads, as well as peripheral nuclei. The entire differentiation process can be followed by live imaging or immunofluorescence. This system combines the advantages of the existing ex vivo and in vitro protocols. The possibility of easy and efficient transfection as well as the ease of access to all differentiation stages broadens the potential applications. Myofibers can subsequently be used not only to address relevant developmental and cell biology questions, but also to reproduce muscle disease phenotypes for clinical applications.

Indexed as

AnimalsAnimals, NewbornCell DifferentiationCells, CulturedFluorescent Antibody TechniqueHindlimbMiceMicroscopy, ConfocalMuscle, SkeletalMyoblastsTransfection

Identifiers

PMID28117796
PMCPMC5408763

What OpenQuestion holds

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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.