Reversible Protein Acetylation in the Regulation of Mammalian Hibernation
Bibliographic record
Abstract
To survive the winter, many small mammals use hibernation.Employing a remarkable strategy of metabolic rate depression these animals accrue profound energy savings by remaining in a torpid state over most of the winter.Global metabolic suppression is mediated by intricate molecular mechanisms, including the post-translational modification of cellular proteins.One such modification -reversible protein acetylationis an important regulator of metabolism, but little is known about its relevance to hibernation.This thesis provides an initial characterization of possible functions of reversible protein acetylation, and several enzymes that mediate the process (protein lysine acetyltransferases (KATs) and deacetylases (SIRTs)), in the context of a rodent model of mammalian hibernation, the thirteen-lined ground squirrel, Ictidomys tridecemlineatus.Notably, SIRT and KAT protein expression and activities increased in skeletal muscle and brown adipose tissue, respectively, during torpor, in correlation with fluctuations in downstream target acetylation.Such changes identify roles for protein acetylation during hibernation.
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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".