Satellite cell activation and populations on single muscle‐fiber cultures from adult zebrafish ( <i>Danio rerio</i> ) (539.8)
Bibliographic record
Abstract
Satellite cell activation and populations on single muscle‐fiber cultures from adult zebrafish (Danio rerio) Helia Zhang and Judy E Anderson, Department of Biological Sciences, University of Manitoba, Canada Satellite‐stem cells in adult mouse skeletal muscle are activated for growth or regeneration by signaling via nitric oxide, hepatocyte growth factor (HGF) and the c‐met receptor. Here, the regulation of satellite cell activation in adult zebrafish was assessed using the model system of isolated fibers cultured at 27°C and 21°C. Satellite cells were identified c‐met+ staining; activation was determined by uptake of bromodeoxyuridine. Satellite cells were maximally activated by the NO‐donor isosorbide dinitrate (ISDN, 1mM) or HGF (10 ng/mL); levels lower and higher respectively, than in mouse fibers. HGF‐induced activation was blocked by anti‐c‐met antibody, and reduced at 21°C. Cyclical stretch (3 hr at 4 cycles per min) increased activation; NOS inhibition and culture at 21°C reduced stretch activation. Stretching rapidly increased the number of c‐met+ cells/fiber (by 3 hr). Satellite cell activation signaling on zebrafish fibers, in particular temperature‐dependent responses to HGF and stretch, give new insights into the influences of ectothermy in regulating muscle growth and suggest the single‐fiber model system can be used to explore the basis of fiber hyperplasia in teleosts. Grant Funding Source : Supported by Natural Sciences and Engineering Research Council
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".