Contractile activity-induced gene expression in fast- and slow-twitch muscle
Bibliographic record
Abstract
Many proteins that function as transcription factors regulate the transcriptional activity of nuclear genes encoding mitochondrial proteins. Several of these are rapidly inducible with contractile activity, followed by a recovery phase. The aim of the present study was to evaluate the expression of a number of rapidly responding gene products to an acute bout of contractile activity followed by a recovery period in both slow- and fast-twitch muscle. Using an in vitro isolated muscle preparation, extensor digitorum longus (EDL) and soleus muscles were stimulated for 15 min, followed by 30 min recovery. Following stimulation, ATP levels were decreased in both the EDL and soleus (25% and 32%, respectively). We found that phosphorylation of p38 MAP kinase was elevated in both muscle types, with a more dramatic 3.5-fold increase observed in the EDL muscle. Peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α) mRNA expression was unchanged as a result of stimulation and recovery, while c-Fos transcript levels were decreased as a result of stimulation, but returned to resting values following recovery. Interestingly, nuclear respiratory factor 1 mRNA levels were unaffected by stimulation, but increased significantly (34%) during the recovery phase. These data suggest that the extent of the induction of transcription factor mRNA to acute exercise, which leads to subsequent muscle adaptations, is transcript specific and dependent on (i) the activation of upstream kinases, (ii) the muscle phenotype, and (iii) the duration of the recovery period.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".