Unmasking the Epigenetic Landscape of Freeze Tolerance in the Grey Tree Frog
Bibliographic record
Abstract
For the breadth of the winter, Dryophytes versicolor can survive full body freezing utilizing a phenomenon known as metabolic rate depression (MRD).Differentially expressed miRNA regulate translation through mRNA targets and prove to be a promising candidate for the study of stress tolerance.Additional epigenetic transcriptional control on gene expression, such as histone methylation and acetylation, also implement a balance between permissive and restricted chromatin as required to endure freezing.The current study utilizes next-generation sequencing and bioinformatic analyses to characterize changes in the microRNAome of D. versicolor muscle tissue in response to freezing.Adding to this, the interplay between histone lysine methyl and acetyl transferases (HKMTs, HATs), as well as the abundance of various acetyl-lysine and methyl-lysine moieties on histone H3 and H4 were examined.This study highlights the regulative role played by miRNA and histone modifications on the overall repression of energy-expensive processes during freezing in muscle tissue.
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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".