Cloning and sequencing of myosin heavy chain isoform cDNAs in golden-mantled ground squirrels: effects of hibernation on mRNA expression
Bibliographic record
Abstract
The golden-mantled ground squirrel is a small rodent hibernator that demonstrates unusual myosin heavy chain (MHC) isoform plasticity during several months of torpor, punctuated by bouts of rewarming and shivering thermogenesis. We measured MHC mRNA levels to determine whether pretranslational control mechanisms were responsible for differences in MHC2x protein expression, as we previously observed between active and hibernating ground squirrels. We first cloned cDNA using the 3' rapid amplification of cDNA ends (3' RACE) technique and identified three sequences corresponding to MHC1, MHC2x, and MHC2b. A DNA control fragment was developed to be used in conjunction with a coupled RT-PCR reaction to simultaneously measure MHC mRNA levels for each isoform in the skeletal muscle of ground squirrels. MHC mRNA and protein expression were strongly correlated, and type IIx and IIb mRNA levels were significantly different between active and hibernating ground squirrels. Pretranslational control of MHC protein is apparently an important process during hibernation, although the exact stimulus is not known. The techniques presented can be used to obtain MHC cDNA sequences and to measure mRNA expression in many vertebrate groups.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
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".