Coho salmon (<i>Oncorhynchus kisutch</i>) transgenic for a growth hormone gene construct exhibit increased rates of muscle hyperplasia and detectable levels of differential gene expression
Bibliographic record
Abstract
Transgenic coho salmon (Oncorhynchus kisutch) containing a growth hormone gene construct were compared with nontransgenic coho salmon in terms of gross anatomy, muscle cellularity, muscle enzyme activity, and differential gene expression. Transgenic fish were found to have significantly higher numbers of small-diameter muscle fibres in both the dorsal and lateral region of the somitic muscle, suggesting that they grow by greater rates of hyperplasia relative to slower growing nontransgenic fish. Higher levels of activity were found for phosphofructokinase and cytochrome oxidase in white muscle of the transgenic fish. This difference indicates a higher glycolytic and aerobic requirement in the muscle of transgenic fish. Subtractive hybridisation of muscle RNA of transgenic fish from control fish provided a library of cDNAs whose expression is upregulated in the transgenic fish. This library contains genes that may be involved in, or related to, both high growth rates and muscle hyperplasia. We have sequenced a number of fragments and have found a preponderance of myosin light chain 2 mRNAs, consistent with a putative high level of expression in the early stages of muscle fibre construction.
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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) | 0.001 | 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".