Satellite cell division and fiber hypertrophy alternate with new fiber formation during indeterminate muscle growth in juvenile lake sturgeon (<i>Acipenser fulvescens</i>)
Bibliographic record
Abstract
Age-dependent changes in muscle fiber size, myonuclear domain volume, fiber-end-terminal configuration, fiber and fish growth, and stem cell or satellite cell (SC) number and proliferation were investigated in developing lake sturgeon (Acipenser fulvescens Rafinesque, 1817) to characterize indeterminate muscle growth during early life. We hypothesized that up to 29 months post hatch (MPH), SC numbers and mitotic activity, the mitotic cycle duration of SCs, fiber morphology, and the volume of cytoplasmic domains around fiber nuclei would change during periods of fiber hypertrophy and hyperplasia. Single-fiber cultures were used in pulse-chase studies of SC division and the Pax7+ SC population. The number of SCs per fiber increased until 17 MPH, peaking as a proportion of fiber nuclei at 3 and 17 MPH. SC cycle time decreased in duration with age after peaks at 3 and 5 MPH. Domain volume was high at 1 and 29 MPH and low from 2 to 6 MPH. Fibers with uniformly tapered ends were most frequent at 4 MPH. Results suggest 3 and 6–17 MPH as intervals for both SC proliferation and fiber hypertrophy, and that fiber growth alternated with new fiber formation (termed fiber hyperplasia) from 4 to 5 MPH and from 17 to 29 MPH. These patterns of cellular dynamics in lake sturgeon muscle growth advance our understanding of indeterminate growth.
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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) | 0.000 | 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".