Molecular Characterization of Canine Prostaglandin G/H Synthase-2 and Regulation in Prostatic Adenocarcinoma Cells in Vitro
Bibliographic record
Abstract
Induction of PG G/H synthase-2 (PGHS-2), a key rate-limiting enzyme in the PG biosynthetic pathway, has been implicated in prostatic adenocarcinomas in humans and dogs in vivo, but the molecular control of PGHS-2 expression in prostate cancer remains poorly understood. Using the dog model, the specific objectives of this study were to clone and characterize canine PGHS-2, and to study the regulation of its transcript, protein, and activity in a canine prostatic adenocarcinoma (CPA) cell line in vitro. The canine PGHS-2 cDNA was cloned by a combination of cDNA library screening and 5′-rapid amplification of cDNA ends, and shown to contain a 5′-untranslated region of 28 bp, an open reading frame of 1815 bp, and a 3′-untranslated region of 1655 bp. The open reading frame encodes a 604-amino acid protein that is 89% identical to the human homolog. The regulation of PGHS-2 protein and PGE2 synthesis was studied in CPA cells cultured in the absence or presence of graded doses of phorbol 12-myristate 13-acetate (PMA), TNFα, and lipopolysaccharides. Results from immunoblots, immunocytochemistry, and RIAs showed that PGHS-2 protein and PGE2 were present at low levels in control cells and were significantly induced after agonist treatment (P < 0.05), with PMA being the strongest inducer. Northern blot analyses also revealed a significant increase of PGHS-2 mRNA by PMA, TNFα, and lipopolysaccharides treatment (P < 0.05). Agonist-dependent induction of PGHS-2 mRNA was not dependent on new protein synthesis (coincubation with cycloheximide; 10 μg/ml) but was blocked by transcription inhibitor actinomycin D (5 μg/ml), suggesting that PGHS-2 acts an immediate early-response gene in prostatic epithelial cells. Thus, this study characterizes for the first time the structure of canine PGHS-2 and provides an in vitro model to unravel the molecular basis of PGHS-2 expression in prostatic adenocarcinomas.
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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 | 0.001 |
| 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".