Altered gene expression related to fuel use and sensory capacity in tanycytes throughout the hibernation season in the golden hamster
Bibliographic record
Abstract
Hibernation is a physiological and behavioural adaptation that permits survival during periods of reduced food availability and extreme environmental temperatures. This is achieved through episodes of metabolic depression and body cooling (torpor), and subsequent rewarming (arousal), cycling between these states is presumed to stem from changes in hypothalamic metabolic control. Several recent lines of evidence implicate the hypothalamic tanycytes in this phenomenon. To investigate tanycytic changes over the hibernation season, golden hamsters ( Mesocricetus auratus (Waterhouse, 1839)) were transferred from long photoperiod 22 °C to short photoperiod (SP) 8 °C, sampling animals at physiologically defined points across the hibernation season for LASER capture microdissection, and RNAseq of the tanycytic region. Our analysis revealed a marked reduction in the expression of genes linked to ciliary assembly and G-protein coupled receptor-signalling during the hibernation season, as well as evidence for a shift towards increased glycolytic metabolism. These aspects were all reversed in refractory animals, which spontaneously ceased to express torpor after extended exposure to SP 8 °C. Tanycytes sampled mid-torpor show increased expression of immediate-early genes compared to the interbout euthermic state, while genes linked to RNA processing and translation show the reverse effect. The implications of these findings for the putative involvement of tanycytes in hibernation control mechanisms are discussed.
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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".