Regulation of Human Gonadotropin-Releasing Hormone Receptor Gene Expression in Placental Cells*
Bibliographic record
Abstract
GnRH has been suggested to regulate hCG secretion in the placenta. In the present study, we report isolation of full-length GnRH receptor (GnRHR) complementary DNA from human placental cells, including a choriocarcinoma cell line (JEG-3), immortalized extravillous trophoblasts (IEVT), and first trimester cytotrophoblast cells in primary culture. Sequence analysis of the placental GnRHR complementary DNA revealed a 100% similarity to its pituitary counterpart. Northern blot analysis using polyadenylated RNA isolated from JEG-3 and IEVT cells revealed a 2.5- and 1.2-kb GnRHR transcripts. Using semiquantitative RT-PCR, regulation ofplacental GnRHR gene expression was examined. In contrast to pituitary gonadotrope alphaT3-1 cells, down-regulation of GnRHR messenger RNA (mRNA) levels was not observed in placental cells after 24 h of 0.1-microM GnRH agonist (GnRHa) treatment. Instead, a 43% (P < 0.01) and 30% (P < 0.05) increase in GnRHR mRNA levels was observed in JEG-3 and IEVT cells, respectively. In addition, 10 microM phorbol ester or forskolin treatments resulted in a significant increase in GnRHR expression in both JEG-3 and IEVT cells. The GnRHa-induced increase in GnRHR expression was shown to be a receptor-mediated process, as cotreatment of GnRH antagonist abolished the effect. It has also been demonstrated that these stimulatory effects on GnRHR gene expression were regulated at least in part at the transcriptional level. Pretreatment of JEG-3 cells with a specific protein kinase C inhibitor (GF109203X), adenylate cyclase inhibitor (SQ22536), or protein kinase A inhibitor [PKI-(14-22) amide, myristylated] reversed GnRHa-induced GnRHR gene expression, suggesting that the placental GnRHR couples to the protein kinase C (PKC) and cAMP/ protein kinase A (PKA) pathways. By Northern blot analysis, we observed a 100% (P < 0.001) increase in hCGbeta mRNA levels after 0.1 microM GnRHa treatment in JEG-3 cells. Again, this effect was prevented in the presence of either protein kinase C inhibitor or adenylate cyclase inhibitor, further supporting the role of the PKC and PKA pathways in GnRHR-coupled signaling in placental cells. In summary, these data strongly support the idea that 1) GnRH plays an autocrine/paracrine role in regulating placental function through a receptor-mediated mechanism; and 2) the placental GnRHR couples to both the PKC and PKA pathways.
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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 | 0.001 |
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".