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Record W4404195339 · doi:10.1016/j.isci.2024.111350

Epigenetic control of myogenic identity of human muscle stem cells in Duchenne muscular dystrophy

2024· article· en· W4404195339 on OpenAlexafffund
Jimmy Massenet, Michèle Weiss‐Gayet, Hina Bandukwala, Wilhelm Bouchereau, Stéphanie Gobert, Mélanie Magnan, Arnaud Hubas, Patrick Nusbaum, Isabelle Desguerre, Cyril Gitiaux, F. Jeffrey Dilworth, Bénédicte Chazaud

Bibliographic record

VenueiScience · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsOttawa Hospital
FundersUniversité Claude Bernard Lyon 1Centre National de la Recherche ScientifiqueCanadian Nautical Research SocietyCanadian Institutes of Health ResearchMitacsInstitut National de la Santé et de la Recherche MédicaleFrench Muscular Dystrophy Association
KeywordsDuchenne muscular dystrophyEpigeneticsMuscular dystrophyStem cellBiologyCell biologyGeneticsGene

Abstract

fetched live from OpenAlex

locus caused downregulation of its expression and loss of the myogenic fate. Re-expression of MEF2B in DMD-MuSCs restored their myogenic fate. MEF2B is key in the maintenance of myogenic identity in human MuSCs, which is altered in DMD.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.008
GPT teacher head0.252
Teacher spread0.244 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations10
Published2024
Admission routes2
Has abstractyes

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