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Record W4382632119 · doi:10.1051/medsci/2023084

Des liens entre métabolisme et régulation épigénétique des cellules souches musculaires

2023· article· fr· W4382632119 on OpenAlexaff
Jean‐Philippe Leduc‐Gaudet, Céline Guirguis, Marie‐Claude Sincennes

Bibliographic record

Venuemédecine/sciences · 2023
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversité du Québec à ChicoutimiUniversité du Québec à Trois-RivièresMcGill University Health CentreUniversité du Québec à Montréal
Fundersnot available
KeywordsMolecular biologyBiology

Abstract

fetched live from OpenAlex

Muscle regeneration in response to injury or exercise relies on the ability of muscle stem cells to proliferate and differentiate to repair the damage. In the absence of damage, muscle stem cells are quiescent: they do not proliferate and have a very low metabolism. Recent studies have linked the metabolic state of the adult muscle stem cell to its epigenetic regulation. This article synthesizes the known concepts about histone modifications and metabolic pathways found in quiescent muscle stem cells, as well as the metabolic and epigenetic changes leading to muscle stem cell activation in response to injury. Here, we discuss the heterogeneity in quiescent stem cell metabolism and compare the metabolism of quiescent and activated muscle stem cells, and describe the epigenetic changes related to their activation. We also discuss the involvement of SIRT1, an important effector of muscle stem cells metabolism, together with the effects of aging and caloric restriction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.497
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.307
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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