Anoxia-responsive microRNA profile of freshwater turtle red skeletal muscle
Bibliographic record
Abstract
The red-eared slider ( Trachemys scripta elegans ) is a uniquely impressive vertebrate facultative anaerobe, capable of 18 weeks without oxygen at 3 °C. Metabolic rate depression (∼85 %) is the core feature of anaerobiosis and is characterized by the suppression of costly processes like protein synthesis/decay and the cell cycle. The elucidation of microRNA (miRNA) action in support of animal extreme stress adaptation is increasing, but is currently lacking in T.s. elegans anoxia tolerance. Here, we use small RNA sequencing and subsequent bioinformatic analyses to identify differentially expressed miRNA and predicted target pathways in 20 h anoxic red skeletal muscle of red-eared slider turtles. Of the 52 mapped miRNA species, we identify two that were upregulated (miR-2114-5p, let-7f-5p) and two that were downregulated (miR-1260b, miR-5100) under 20 h anoxic conditions (|FC| > 1.5; p < 0.05). KEGG and GO analysis predict miRNA contribute to the aerobic to anaerobic respiration shift and outline miRNA-mediated inhibition of numerous gene sets in (1) protein turnover, (2) RNA turnover and (3) the cell cycle. Conversely, alleviated miRNA interference in branched amino acid biosynthesis, arachidonic acid and linolenic acid metabolism suggest a role in atrophy resistance of skeletal muscles.
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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".