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Record W2330330799 · doi:10.1055/s-0030-1270527

Menin Interacts with β-Catenin in Osteoblast Differentiation

2011· article· en· W2330330799 on OpenAlexaff
Yasuhiro Inoue, Geoffrey N. Hendy, Lucie Canaff, Susumu Seino, Hiroshi Kaji

Bibliographic record

VenueHormone and Metabolic Research · 2011
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsC2C12OsteoblastTransfectionRUNX2Mesenchymal stem cellWnt signaling pathwayCateninChemistryInduced pluripotent stem cellCell biologySmall interfering RNAAlkaline phosphataseMyocyteCancer researchBiologyMolecular biologySignal transductionCell cultureEmbryonic stem cellIn vitroEnzymeBiochemistryGeneMyogenesisGenetics

Abstract

fetched live from OpenAlex

Menin promotes the commitment of pluripotent mesenchymal stem cells to the osteoblast lineage by interacting with the BMP-2 signaling molecules Smad1/5, and Runx2. However, the relationship between menin and the Wnt-β-catenin pathway in bone is unclear. Reduction of menin expression by transfection of a menin antisense construct did not alter the levels of β-catenin in mouse mesenchymal C2C12 and osteoblastic MC3T3-E1 cells. However, menin co-immunoprecipitated with β-catenin as well as LEF-1 in C2C12 and MC3T3-E1 cells. Reduction of menin expression by antisense menin transfection antagonized β-catenin-induced transcriptional activity of the pGL3-OT luciferase reporter construct in C2C12 and MC3T3-E1 cells. Antisense menin transfection antagonized the BMP-2 and β-catenin-stimulated increases in Runx2 and alkaline phosphatase levels in C2C12 cells. The data show that menin interacts with β-catenin in mouse mesenchymal and osteoblastic cells, and suggest that the interaction is important for osteoblast differentiation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.103
GPT teacher head0.347
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2011
Admission routes1
Has abstractyes

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