Transcription Dynamics and DNA Methylation Responses to Growth Modification
Bibliographic record
Abstract
To better understand how gene transcription is controlled under different physiological and environmental conditions, we assessed transcription and methylation responses in a vertebrate system (salmon) where growth can be manipulated in response to growth hormone transgenesis or under satiated, feed-deprived, and re-fed experimental conditions. In both transgenic and non-transgenic liver tissue, methylation of gene promoters was negatively associated with transcription at all measured times. However, the changes in promoter methylation among time-points did not generally correlate with changes in gene transcription among treatments. The results from this study suggest that only a subset of genes are readily responsive to changes in promoter methylation for a given environmental shift such as feed-deprivation or a physiological shift such as growth hormone transgenesis (i.e., genotype-by-environment interactions). The present study also reveals the complexity of how one tissue responds to alterations in internal changes in physiology (growth modification by growth hormone transgenesis; genotype), external environmental conditions (food availability; environment), and their interactions (genotype-by-environment effects).
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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".