Regulation of the RAP1/RAF-1/Extracellularly Regulated Kinase-1/2 Cascade and Prolactin Release by the Phosphoinositide 3-Kinase/AKT Pathway in Pituitary Cells
Bibliographic record
Abstract
In pituitary cells, prolactin (PRL) synthesis and release are controlled by multiple transduction pathways. In the GH4C1 somatolactotroph cell line, we previously reported that MAPK ERK-1/2 are a point of convergence between the pathways involved in the PRL gene regulation. In the present study, we focused on the involvement of the phosphoinositide 3-kinase (PI3K)/Akt pathway in the MAPK ERK-1/2 regulation and PRL secretion in pituitary cells. Either specific pharmacological PI3K and Akt inhibitors (LY294002, Akt I, and phosphoinositide analog-6) or Akt dominant-negative mutant (K179M) enhanced ERK-1/2 phosphorylation in unstimulated GH4C1 cells. Under the same conditions, PI3K and Akt inhibition also both increased Raf-1 kinase activity and the levels of GTP-bound (active form) monomeric G protein Rap1, which suggests that a down-regulation of the ERK-1/2 cascade is induced by the PI3K/Akt signaling pathway in unstimulated cells. On the contrary, ERK-1/2 phosphorylation, Raf-1 activity, and Rap1 activation were almost completely blocked in IGF-I-stimulated cells previously subjected to PI3K or Akt inhibition. Although the PRL promoter was not affected by either PI3K/Akt inhibition or activation, PRL release increased in response to the pharmacological PI3K/Akt inhibitors in unstimulated GH4C1 and rat pituitary primary cells. The IGF-I-stimulated PRL secretion was diminished, on the contrary, by the pharmacological PI3K/Akt inhibitors. Taken together, these findings indicate that the PI3K/Akt pathway exerts dual regulatory effects on both the Rap1/Raf-1/ERK-1/2 cascade and PRL release in pituitary cells, i.e. negative effects in unstimulated cells and positive ones in IGF-I-stimulated cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".