Inactivation of Menin, the Product of the Multiple Endocrine Neoplasia Type 1 Gene, Inhibits the Commitment of Multipotential Mesenchymal Stem Cells into the Osteoblast Lineage
Bibliographic record
Abstract
The physiological roles of menin, the product of the multiple endocrine neoplasia type 1 gene, are not known. Homozygous menin knockout mice exhibit cranial and facial hypoplasia. We, therefore, investigated the role of menin in the regulation of osteoblastic differentiation. Menin antisense oligonucleotides (AS-oligo) reduced endogenous menin expression in the C3H10T1/2 (10T1/2) mouse mesenchymal stem cells and antagonized alkaline phosphatase (ALP) activity and the expression of type I collagen, Runx2/cbfa1 (Runx2), and osteocalcin (OCN) induced by bone morphogenetic protein 2 (BMP-2). AS-oligo did not affect adipogenic markers (Oil red staining and PPARgamma expression) and chondrogenic markers (Alcian blue staining and type IX collagen) induced by BMP-2 in 10T1/2 cells. Menin co-immunoprecipitated with Smad1 and Smad5, and inactivation of menin antagonized BMP-2-induced transcriptional activity of Smad1/5. In osteoblastic MC3T3-E1 cells, AS-oligo affected neither BMP-2-stimulated ALP activity nor the expression of Runx2 and OCN. Stable inactivation of menin in MC3T3-E1 cells increased ALP activity, mineralization, and the expression of type I collagen and OCN. In 21-day cultures of MC3T3-E1 cells and BMP-2-treated 10T1/2 cells, endogenous menin expression increased up to day 14 and declined thereafter. These data indicate that menin inactivation specifically inhibits the commitment of pluripotent mesenchymal stem cells to the osteoblast lineage, mediated by menin and Smad1/5 interactions. Menin is important for both early differentiation of osteoblasts and inhibition of their later differentiation, and it might be crucial for intramembranous ossification.
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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 | 0.000 |
| 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".