Bibliographic record
Abstract
Prolactinomas account for 40% of all tumors in the pituitary, an important gland of the endocrine system, and secrete excess amount of prolactin hormone. We recently identified a member of the TGF-beta superfamily of growth factors, activin, as an important regulator of prolactin expression and cell growth. Activin inhibits prolactin expression through inhibition of expression of a pituitary-specific transcription factor, named Pit-1. Pit-1 plays major roles in the development and maintenance of the anterior pituitary gland integrity. In this study, I investigated the intracellular signaling pathways and transcriptional mechanisms by which activin controls Pit-1 activity. I demonstrate that in addition to the down-regulation of mRNA and proteins levels of Pit-1, a functional p38 MAPK signaling pathway is required for activin to down-regulate human Pit-1 gene promoter activity in a Smad-independent manner. This study allows a better understanding of the regulatory effects of activin in the pituitary gland.
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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 | 0.001 |
| 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".