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Record W2588211494 · doi:10.1080/21541264.2017.1291083

Regenerating muscle with arginine methylation

2017· review· en· W2588211494 on OpenAlexafffund
Stéphane Richard

Bibliographic record

VenueTranscription · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsProtein arginine methyltransferase 5MethylationArginineMethyltransferaseCell biologyBiologyStem cellProtein methylationSkeletal muscleRegeneration (biology)Function (biology)Cell fate determinationBiochemistryAnatomyGeneAmino acid

Abstract

fetched live from OpenAlex

Protein arginine methyltransferase (PRMT) is a family of nine proteins catalyzing the methylation of arginine residues. They were recently shown to be essential for proper regeneration of skeletal muscles. However, the mechanisms triggering the methylation event, as well as how the methylated substrates regulate muscle stem cell function and fate decision remain to be determined. This point-of-view will discuss the recent findings on the specific role of PRMT1, CARM1/PRMT4, PRMT5, and PRMT7 in muscle stem cell fate guidance, and shed light on the future challenges which could help defining the therapeutic potential of PRMT inhibitors against muscular disorders and aging.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.071
GPT teacher head0.341
Teacher spread0.270 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations31
Published2017
Admission routes2
Has abstractyes

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