Differential calcineurin/NFATc1‐c3 signaling in the regulation of the skeletal muscle fiber phenotype
Bibliographic record
Abstract
Involvement of Cn/NFAT signaling in the regulation of the skeletal muscle fiber phenotype is recognized, however, the role of the various Cn‐regulated NFAT isoforms in this process remains rudimentary. We thus assessed the expression, localization and function of NFAT isoforms in muscle fibers of wild type or transgenic NFATc2 or NFATc3 deficient mice under normal weightbearing or functional compensatory work overload conditions. Immunohistochemical analyses indicated that NFAT isoforms have distinct roles in the regulation of muscle remodeling associated with compensatory growth. Semi‐quantitative RT‐PCR did not reveal compensatory up‐regulation of surviving NFAT isoform mRNA levels in transgenic mice. On the other hand, western blotting and immunofluorescence data showed NFAT protein localization to be differentially regulated during compensatory growth. Moreover, gene array analyses showed distinct gene expression patterns across conditions. Taken together, these results show that members of the NFAT family of transcription factors have distinct roles in the expression of the muscle fiber phenotype and a limited capacity to substitute for one another during conditions of rapid fiber growth. Supported by NSERC, CIHR and CRC to RNM. EMK is a CIHR scholar.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".