Evidence map›Paper›PMID 29523801›Full record

ArticleScientific reports2018

Small-RNA sequencing identifies dynamic microRNA deregulation during skeletal muscle lineage progression.

David Castel, Meryem B Baghdadi, Sébastien Mella, Barbara Gayraud-Morel, Virginie Marty, Jérôme Cavaillé, Christophe Antoniewski, Shahragim Tajbakhsh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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  12. Deficiency and overexpression ofDevelopment (Cambridge, England) · 2020
    Article
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  15. A Hearty Dose of Noncoding RNAs: The ImprintedJournal of cardiovascular development and disease · 2018
    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

8 authors at 2 institutions in 1 country.

David CastelStem Cells and Development, Department of Developmental & Stem Cell Biology, Institut Pasteur, Paris, 75015, France.ORCID 0000-0003-0247-080X
Meryem B BaghdadiStem Cells and Development, Department of Developmental & Stem Cell Biology, Institut Pasteur, Paris, 75015, France.
Sébastien MellaStem Cells and Development, Department of Developmental & Stem Cell Biology, Institut Pasteur, Paris, 75015, France.
Barbara Gayraud-MorelStem Cells and Development, Department of Developmental & Stem Cell Biology, Institut Pasteur, Paris, 75015, France.
Virginie MartyLaboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, 31000, Toulouse, France.
Jérôme CavailléLaboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, 31000, Toulouse, France.
Christophe AntoniewskiSorbonne Universités, Université Pierre et Marie Curie (UPMC), CNRS, Institut de Biologie Paris Seine (IBPS), Developmental Biology Department, Paris, France.
Shahragim TajbakhshStem Cells and Development, Department of Developmental & Stem Cell Biology, Institut Pasteur, Paris, 75015, France. shahragim.tajbakhsh@pasteur.fr.
Centre National de la Recherche Scientifique · FRUniversité Paris-Sud · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle satellite cells are quiescent adult resident stem cells that activate, proliferate and differentiate to generate myofibres following injury. They harbour a robust proliferation potential and self-renewing capacity enabling lifelong muscle regeneration. Although several classes of microRNAs were shown to regulate adult myogenesis, systematic examination of stage-specific microRNAs during lineage progression from the quiescent state is lacking. Here we provide a genome-wide assessment of the expression of small RNAs during the quiescence/activation transition and differentiation by RNA-sequencing. We show that the majority of small RNAs present in quiescent, activated and differentiated muscle cells belong to the microRNA class. Furthermore, by comparing expression in distinct cell states, we report a massive and dynamic regulation of microRNAs, both in numbers and amplitude, highlighting their pivotal role in regulation of quiescence, activation and differentiation. We also identify a number of microRNAs with reliable and specific expression in quiescence including several maternally-expressed miRNAs generated at the imprinted Dlk1-Dio3 locus. Unexpectedly, the majority of class-switching miRNAs are associated with the quiescence/activation transition suggesting a poised program that is actively repressed. These data constitute a key resource for functional analyses of miRNAs in skeletal myogenesis, and more broadly, in the regulation of stem cell self-renewal and tissue homeostasis.

Indexed as

Sequence Analysis, RNAAnimalsCell LineageCell Self RenewalChromosomes, MammalianGene Expression ProfilingHomeostasisMiceMicroRNAsMuscle DevelopmentRegenerationSatellite Cells, Skeletal MuscleMicroRNAs

Identifiers

PMID29523801
PMCPMC5844870
OpenAlexW2794650953

What OpenQuestion holds

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LicenceCC BY
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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.