Lost in Translation: Exploring microRNA Biogenesis and Messenger RNA Fate in Anoxia-Tolerant Turtles
Bibliographic record
Abstract
Red-eared slider turtles face natural changes in oxygen availability throughout the year. This includes long-term anoxic brumation where they reduce their metabolic rate by ~90% for months at a time, which they survive without apparent tissue damage. This metabolic rate depression (MRD) is underlaid by various regulatory mechanisms, including messenger RNA (mRNA) silencing via microRNA (miRNA), leading to mRNA decay or translational inhibition in processing bodies (P-bodies) and stress granules. Regulation of miRNA biogenesis was assessed in red-eared slider turtle liver and skeletal muscle via immunoblotting. Hepatic miRNA biogenesis was downregulated in early processing steps, while later steps were upregulated. These contradictory findings indicate either overall decreased miRNA biogenesis, or increased biogenesis if sufficient pre-miRNA stores were produced in early anoxia. Conversely, muscle showed clear upregulation of multiple biogenesis steps indicating increased miRNA production. Additionally, immunoblotting indicated that P-bodies may be favoured by the liver for mRNA storage/decay during reoxygenation with a strong suppression of stress granule proteins in anoxia and reoxygenation. Muscle however showed downregulation of P-bodies during anoxia and reoxygenation, and upregulation of stress granules for mRNA storage during reoxygenation. This study advances our understanding of how these champion anaerobes regulate miRNA biogenesis to alter miRNA expression and mRNA fate during prolonged anoxia.
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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".