Evidence map›Paper›PMID 22692546›Full record

ArticleNature communications2012

Skeletal muscle stem cells adopt a dormant cell state post mortem and retain regenerative capacity.

Mathilde Latil, Pierre Rocheteau, Laurent Châtre, Serena Sanulli, Sylvie Mémet, Miria Ricchetti, Shahragim Tajbakhsh, Fabrice Chrétien

Abstract read
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In one paragraph

Article in Nature communications, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
–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

77 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Ex vivo functional whole organ in biomedical research: a review.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2025
    Review
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  17. Cadaveric Adipose-Derived Stem Cells for Regenerative Medicine and Research.International journal of molecular sciences · 2023
    Article
  18. Review
  19. Review
  20. Article

17 more citing papers are in PubMed but not listed here.

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.

Mathilde LatilHuman Histopathology and Animal Models, Infection & Epidemiology Departement, Institut Pasteur, 25 rue du Dr Roux, Paris 75015, France.
Pierre Rocheteau
Laurent Châtre
Serena Sanulli
Sylvie Mémet
Miria Ricchetti
Shahragim Tajbakhsh
Fabrice Chrétien

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accessibility to stem cells from healthy or diseased individuals, and the maintenance of their potency are challenging issues for stem cell biology. Here we report the isolation of viable and functional skeletal myogenic cells from humans up to 17 days, and mice up to 14 days post mortem, much longer beyond previous reports. Muscle stem cells are enriched in post mortem tissue, suggesting a selective survival advantage compared with other cell types. Transplantation of mouse muscle and haematopoietic stem cells regenerates tissues robustly. Cellular quiescence contributes to this cell viability where cells adopt a reversible dormant state characterized by reduced metabolic activity, a prolonged lag phase before the first cell division, elevated levels of reactive oxygen species and a transcriptional status less primed for commitment. Finally, severe hypoxia, or anoxia is critical for maintaining stem cell viability and regenerative capacity. Thus, these cells provide a useful resource for studying stem cell biology.

Indexed as

AnimalsCell SurvivalHumansMiceMice, Inbred C57BLMuscle, SkeletalStem Cells

Identifiers

PMID22692546

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.