Gonadotropin-Releasing Hormone-Mediated Phosphorylation of Estrogen Receptor-α Contributes to fosB Expression in Mouse Gonadotrophs
Bibliographic record
Abstract
Estrogen receptors (ERs) are activated by their ligands as well as signaling pathways that alter ER phosphorylation in response to peptide hormones and growth factors. In pituitary gonadotrophs, GnRHs act via the type I GnRH receptor (GnRHR). Both GnRH subtypes (GnRH-I and -II) activate an estrogen response element (ERE)-driven luciferase reporter gene in LbetaT2 mouse pituitary cells, and GnRH-I is most potent in this regard. Moreover, antide (a GnRH antagonist) and a GnRHR small interfering RNA (siRNA) abrogate this effect, whereas an ERalpha antagonist (ICI 182,780) does not. The ERalpha in LbetaT2 cells is phosphorylated at Ser(118) in the nucleus and at Ser(167) in both nucleus and cytoplasm after GnRH treatments and coincided with increased ERalpha binding to its coactivator, the p300/cAMP response element-binding protein-associated factor (PCAF). Moreover, siRNA-mediated knockdown of PCAF levels attenuated GnRH-induced ERE-luciferase transactivation in these cells. Most importantly, both GnRH subtypes robustly up-regulated expression of the immediate early response gene, fosB, whereas cotreatment with ERalpha siRNA or PCAF siRNA attenuated this effect. This appears to occur at the transcriptional level because corecruitment of ERalpha and PCAF to an ERE within the endogenous fosB promoter was increased by GnRH treatments, as shown by chromatin immunoprecipitation assays. These data demonstrate that GnRH-mediated phosphorylation of ERalpha in mouse LbetaT2 pituitary cells results in its rapid association with PCAF and the transcriptional activation of fosB, and we demonstrate that this in turn likely activates other genes in pituitary cells including the FSH beta-subunit gene.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.004 | 0.002 |
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".