MicroRNA regulation and expression in the anoxia-tolerant red-eared slider turtle, Trachemys scripta elegans
Bibliographic record
Abstract
The red-eared slide turtle (Trachemys scripta elegans) is able to survive prolonged episodes of anoxia without suffering any apparent damage.This feat is underscored by a complex set of regulatory mechanisms to achieve metabolic rate depression (MRD) including microRNA (miRNA)-mediated gene silencing.Immunoblotting of relative protein abundance was used to analyze miRNA biogenesis under anoxic and reoxygenated conditions in liver and muscle, finding tissue-specific regulation of miRNA production.Cytoplasmic granule proteins were also assessed to inspect mRNA fate, the results of which indicated that mRNA sequestration to stress granules or processing bodies was also tissue specific.Next, the miRNAome was analyzed using RNA sequencing and bioinformatic analyses, revealing anoxia-induced suppression of processes associated with cell cycle progression and protein turnover.Altogether, these results indicate that miRNA targeting of mRNA transcripts occurs in a tissue specific manner with a particular focus on the suppression of energetically expensive processes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".