Regulation of prostaglandin synthesis in ovaries of sexually‐mature zebrafish (<i>Danio rerio</i>)
Bibliographic record
Abstract
This study investigates the regulation of prostaglandin (PG) synthesis in the ovaries of sexually-mature zebrafish (Danio rerio). We examined the ovarian expression of genes within the arachidonic acid (AA) pathway, and the ovarian levels of 17alpha,20beta-dihydroxy-4-pregnen-3-one (17alpha,20beta-P), 17beta-estradiol (E(2)), and PGF(2alpha) in spawning and nonspawning fish during the ovulatory cycle. Real-time RT-PCR analysis revealed that the expression levels of cytosolic phospholipase A(2) (cpla2) and cyclooxygenases (COX)-2 (ptgs2) in ovarian fragments and in isolated full-grown follicles of spawning fish were highest at 6:00 when ovulation was expected to occur. In nonspawning fish, cpla2 expression levels declined over time while ptgs2 expression displayed the same temporal pattern as in spawning fish. Elevated levels of 17alpha,20beta-P in the spawning fish occurred at 3:30, but there were no changes in the nonspawning fish. In other studies conducted to investigate the hormonal regulation of AA pathway genes, fish exposed via the water for 24 or 96 hr to 17alpha,20beta-P or E(2) exhibited reduced ovarian expression levels of COX-1 (ptgs1) and PG E synthase-2 (ptgsl), and E(2) reduced the expression of cpla2. Injection of human chorionic gonadotropin (hCG) (100 IU) led to increased expression levels of cpla2 and ptgs2 at 2 and 18 hr post-treatment, but consistently reduced ptgs1 and ptgsl expression. In these fish, ovarian levels of 17alpha,20beta-P were elevated at all time points and PGF(2alpha) levels in the hCG-treated group were significantly higher than the control fish at 18 hr. Collectively, these in vivo results suggest that gonadotropins and steroids are involved in the regulation of the AA pathway in ovarian follicles of zebrafish.
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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".