The Multiple Endocrine Neoplasia Type 1 Gene Product, Menin, Inhibits Insulin Production in Rat Insulinoma Cells
Bibliographic record
Abstract
A mutant gene isolated from a patient with multiple endocrine neoplasia type 1, MEN1 encodes a protein, menin. Features of MEN1 include multiple endocrine tumors of the parathyroid glands, anterior pituitary and pancreatic islets. Insulinoma, arising from the pancreas is the most common MEN1-related tumor. Menin is a nuclear protein and interacts with the transcription factor, Jun D, but whether menin has a role in the pathogenesis of MEN1-related endocrine tumors including insulinoma remains unknown. In this study, we examined the effects of menin on production of human insulin. Insulinoma cells, INS-1 were co-transfected with a vector that expressed menin and a reporter template containing 235 bp of the rat insulin gene 5'-flanking region fused to the luciferase gene to yield pINS-LUC. Promoter activity of the insulin gene was significantly decreased in co-transfected cells as compared to mock-transfected controls. INS-1 cells stably transfected with a vector that expressed menin were used to examine the insulin secretion. In cells with a high level of menin expression, both insulin secretion and thymidine incorporation into DNA were inhibited when compared to mock-transfected cells. Additionally, the rate of apoptosis of menin-transfected cells was increased compared to mock-transfected cells. These observations suggest that menin inhibits insulin promoter activity and secretion, and also cell proliferation, raising the possibility that menin may play an important role in the pathogenesis of insulinoma.
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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) | 0.001 | 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 | 0.000 |
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".