Histone Arginine Methylation in the Kidneys of Rana sylvatica During Freeze–Thaw Cycle
Bibliographic record
Abstract
Freeze tolerance is a remarkable adaptive trait exhibited by wood frogs (Rana sylvatica) during their hibernation period. To show the epigenetic mechanisms that contribute to kidney protection during freezing stress, this present study provides the first investigation of the role and dynamics of histone arginine methylation and the expression of protein arginine methyltransferases (PRMTs) in a freeze-tolerant vertebrate. Kidney samples from three groups were assessed: (a) control frogs acclimated at 5 °C, (b) 24 h frozen frogs, and (c) 8 h thawed frogs. Our findings revealed significant downregulation of PRMT1, PRMT3, and PRMT5 in kidneys from frozen wood frogs compared to the control group. This downregulation indicates a potential role for PRMT enzymes in the regulation of arginine methylation under freezing stress. In addition, we observed distinct changes in histone marks. H3R17me2a showed significant upregulation after 24 h of freezing, potentially indicating its involvement in the activation of genes related to freezing survival. By contrast, H3R26me2a was downregulated after both 24 h freezing and 8 h thawing, whereas H3R8me2a showed sustained levels after freezing but was downregulated after thawing. These findings highlight the dynamic nature of histone arginine methylation and PRMT expression in wood frog kidneys during freezing–thawing. Our results indicate that epigenetic modifications play a crucial role in shaping the adaptive responses of wood frog kidneys to freezing stress and contribute new information on the underlying biochemical modifications that support vertebrate freeze tolerance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".