A Winter's Tale: MicroRNA Biogenesis and Regulation in the Freeze-Tolerant Grey Tree Frog, Hyla Versicolor
Bibliographic record
Abstract
Grey tree frogs (Hyla versicolor) can endure full-body freezing over the winter, with survival aided by metabolic rate depression.Post-transcriptional controls on gene expression include microRNA regulation of gene transcripts that can aid implementation of protein changes required for freezing survival.Western immunoblotting was used to examine protein expression levels of the miRNA biogenesis pathway in three tissues.During freezing, four proteins were upregulated in liver, whereas four proteins in muscle and five proteins in kidney were downregulated.Small RNA-sequencing and bioinformatic analysis of liver showed that seven miRNAs were freeze-upregulated and four were freeze-downregulated. Functions for these miRNAs may involve inhibition of signaling pathways, apoptosis, and nuclear processes.Interestingly, miRNAs may enhance ribosomal biogenesis.Overall, the data show miRNA biosynthesis is altered during freezing and differentially regulated across tissues, with computational predictions highlighting specific functions and processes that may be disproportionally altered during freezing.
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".