Evidence map›Paper›PMID 33861361›Full record

ReviewCellular and molecular life sciences : CMLS2021

The relationship between muscle stem cells and motor neurons.

Monika Zmojdzian, Krzysztof Jagla

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Article
  7. Cells · 2021
    Review
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

2 authors at 1 institution in 1 country.

Monika ZmojdzianGReD Institute-INSERM U1103, CNRS UMR6293, Université Clermont Auvergne, 28, place Henri-Dunant, 63000, Clermont-Ferrand, France.
Krzysztof JaglaGReD Institute-INSERM U1103, CNRS UMR6293, Université Clermont Auvergne, 28, place Henri-Dunant, 63000, Clermont-Ferrand, France. christophe.jagla@uca.fr.ORCID http://orcid.org/0000-0003-4965-8818
Centre National de la Recherche Scientifique · FR

Funding

Agence Nationale de la Recherche iSITE CAP2025Association Française de la Maladie de Fanconi MyoNeurAlp aliance
6 · The paper itself

Abstract

Neuromuscular system is constituted of multi-fibrillar muscles, tendons, motor neurons and associated muscle stem cells. Stereotyped pattern of muscle innervation and muscle-specific interactions with tendon cells suggest that neuromuscular system develops in a coordinated way. Remarkably, upon regeneration, coordinated assembly of all neuromuscular components is also critical to rebuild functional muscle. Thus, to ensure muscle function, the neuromuscular system components need to interact both during development and regeneration. Over the last decades, interactions between muscles and tendons, muscles and motor neurons and between muscles and muscle stem cells have been extensively analysed and documented. However, only recent evidence indicates that muscle stem cells interact with motor neurons and that these interactions contribute to building functional muscle both during development and regeneration. From this perspective, we discuss here the relationship between muscle stem cells and motor neurons during Drosophila neuromuscular system development and adverse impact of affected muscle stem cell-motor neuron interactions in regenerating vertebrate muscle.

Indexed as

RegenerationAnimalsHumansMotor NeuronsMusclesNeuromuscular JunctionStem CellsAMPDrosophilaMotor neuronMuscle stem cellSatellite cell

Identifiers

PMID33861361
PMCPMC11072985
OpenAlexW3153746078

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.