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Record W2135820246 · doi:10.4141/a01-023

Calcineurin-mediated signaling in skeletal muscle

2001· article· en· W2135820246 on OpenAlexvenueno aff
Charles E. Carpenter

Bibliographic record

VenueCanadian Journal of Animal Science · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsnot available
Fundersnot available
KeywordsNFATCalcineurinMuscle hypertrophySignal transductionCell biologySkeletal muscleTranscription factorBiologyPhosphataseCalcium signalingMyocyteEndocrinologyInternal medicineBiochemistryPhosphorylationMedicineGene

Abstract

fetched live from OpenAlex

Calcineurin (Cn; protein phosphatase 2B) is a calcium-activated phosphatase that is highly conserved among eukaryotes. Calcineurin dephosphorylates a wide variety of substrates making it a versatile second messenger for intracellular calcium signals in many tissues. In muscle, Cn transduces signals that determine fiber type, hypertrophy, and commitment to the myogenic lineage. Calcineurin-mediated fiber transitions of fast to slow involve the nucleocytoplasmic shuttling of the transcription factor, NFAT. Less is known about the Cn-mediated signaling pathways that promote muscle hypertrophy and expression of the fast phenotype, although they are undoubtedly intertwined with a variety of other signaling pathways. This paper reviews Cn-dependent signaling in muscle with special emphasis on the role of Cn in mediating fiber type transitions and muscle hypertrophy. To open the door on the role and extent of Cn-mediated signaling in livestock, evidence is presented that in callipyge lambs Cn actively mediates muscle hypertrophy in a fiber type-specific manner. Increased understanding of Cn-dependent signaling in livestock will enhance our ability to control and select for extent of muscling and meat quality attributes. Key words: Calcineurin, signal transduction, muscle, review

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.016
GPT teacher head0.253
Teacher spread0.237 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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