Molecular Analysis, Tissue Profiles, and Seasonal Patterns of Cytosolic and Mitochondrial GPDH in Freeze-Resistant Rainbow Smelt (<i>Osmerus mordax</i>)
Bibliographic record
Abstract
Rainbow smelt (Osmerus mordax) is an anadromous teleost that, beginning in late fall, accumulates plasma glycerol in excess of 200 mM, which subsequently decreases in the spring. The activity of cytosolic glycerol-3-phosphate dehydrogenase (cGPDH) is higher (i) in liver of smelt than in that of Atlantic salmon and capelin (nonglycerol accumulators), (ii) in liver of smelt maintained at 1°C than in that of smelt held at 8°-10°C, and (iii) in smelt liver than in smelt muscle, heart, brain, or kidney. In addition, transcript levels of cGPDH in liver peak in December during the onset of glycerol production and then decline over the remainder of the season. There are four cGPDH protein isoforms in smelt liver that are present regardless of glycerol production status. A minimum of four cGPDH gene copies identified by Southern blotting provide adequate genetic potential to yield multiple protein isoforms. A full-length cDNA for smelt mitochondrial glycerol-3-phosphate dehydrogenase (mGPDH) was cloned and characterized. The 2,790-bp cDNA contains a 109-bp 5'UTR, a 2,193-bp open reading frame, and a 488-bp 3'UTR; transcripts are ubiquitously expressed in both warm- and cold-acclimated smelt tissues. Smelt mGPDH encodes a 730-aa protein that clusters with that of zebrafish and frog and contains several common structural motifs. mGPDH transcript levels generally increase late in the seasonal glycerol cycle, and mGPDH enzyme activity increases significantly during the glycerol decrease phase. Taken together, these findings suggest that liver cGPDH and mGPDH play a key role in the glycerol accumulation and decrease phases, respectively.
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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".