Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".