Gonadotropin-Releasing Hormone-I-Mediated Activation of Progesterone Receptor Contributes to Gonadotropin α-Subunit Expression in Mouse Gonadotrophs
Bibliographic record
Abstract
In pituitary cells, cross talk between GnRH-I and the progesterone receptor accentuates gonadotropin production. We show that GnRH-I activates a progesterone response element (PRE)-driven luciferase reporter gene at 8 h and gonadotropin alpha-subunit (gsu alpha) gene expression at 24 h in two mouse gonadotrope cell lines, alpha T3-1 and L beta T2. In alpha T3-1 cells, progesterone had an additive effect on GnRH-I-induced PRE-luciferase reporter gene activity but not on GSU alpha mRNA levels. However, progesterone had no synergistic effect on the GnRH-I-induced expression of these genes in L beta T2 cells. Up-regulation of the PRE-luciferase reporter gene by GnRH-I was attenuated by pretreatment with protein kinase A (H89) and protein kinase C (GF109203X) inhibitors in both cell lines, whereas only GF109203X inhibited GnRH-I-induced GSU alpha mRNA levels. Most important, in both cell lines within the same time frame, knockdown of progesterone receptor levels by small interfering RNA reduced GnRH-I activation of GSU alpha mRNA levels by approximately 40%. We conclude that the effect of GnRH-I on gsu alpha expression in both alpha T3-1 and L beta T2 cells is mediated by ligand-independent activation of progesterone receptor and that this contributes to the self-priming effect of GnRH-I in the pituitary.
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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 | 0.001 |
| 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".