Expression of Human Prostaglandin Transporter in the Human Endometrium across the Menstrual Cycle
Bibliographic record
Abstract
Prostaglandins (PGs) are important regulators of reproductive function. The mechanism by which PGs are transported across the biological membrane is a new emerging field of investigation. Prostaglandin transporter (PGT) has been identified as a functional PG carrier. The aim of our study was to outline the expression of PGT in the human endometrium across the menstrual cycle. Quantitative RT-PCR showed human PGT (hPGT) expression to be strong in the proliferative and early secretory phases and low in the middle to late secretory phase. Northern blot analysis revealed hPGT mRNA transcript of 4 kb in the human endometrium. A peptide-directed polyclonal antibody was generated in rabbits against the 22 amino acids forming the C terminus of hPGT. Antibody specificity was demonstrated by Western blot. Immunoblots of endogenous hPGT in the human endometrium revealed a 70-kDa protein in endometrial cells. Endometrial biopsies collected across the menstrual cycle were used to assess hPGT protein expression by immunohistochemistry. hPGT was immunolocalized to luminal, glandular epithelial, and stromal cells. Because it was observed at the mRNA level, semiquantitative analysis showed a higher protein expression in proliferative and early secretory phases than in the mid-late secretory phase. In conclusion, our study revealed that hPGT expression is modulated in epithelial and stromal cells of the human endometrium at both mRNA and protein levels during the menstrual cycle. These findings support a role for hPGT as an important new player in the regulation of PG action in the human endometrium.
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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".