Homodimerization of Ror2 Tyrosine Kinase Receptor Induces 14-3-3β Phosphorylation and Promotes Osteoblast Differentiation and Bone Formation
Bibliographic record
Abstract
Ror2 receptor plays a key role in bone formation, but its signaling pathway is not completely understood. We demonstrate that Ror2 homodimerizes at the cell surface, and that dimerization can be induced by a bivalent antibody. Antibody-mediated dimerization causes receptor autophosphorylation and induces functional consequences of its signaling, including osteogenesis in mesenchymal stem cells and bone formation in organ culture. We further show that Ror2 associates with and phosphorylates 14-3-3beta scaffold protein. Endogenous Ror2 binds 14-3-3beta in U2OS osteosarcoma cells, and purified intracellular domain of Ror2 interacts with 14-3-3beta in vitro. 14-3-3beta Is tyrosine phosphorylated in U2OS cells, and this phosphorylation is inhibited by down-regulating Ror2 and enhanced by overexpressing the kinase. Purified Ror2 phosphorylates 14-3-3beta in vitro, confirming 14-3-3beta as the first identified Ror2 substrate. Down-regulating 14-3-3beta potentiates osteoblastogenesis in mesenchymal stem cells and increases bone formation in calvarial cultures, indicating that 14-3-3beta exerts a negative effect on osteogenesis. This raises a possibility that Ror2 induces osteogenic differentiation, at least in part, through a release of the 14-3-3beta-mediated inhibition. Our research forms a foundation for several new areas of investigation, including the molecular regulation of 14-3-3 by tyrosine phosphorylation and the role of this scaffold in osteogenesis.
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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) | 0.002 | 0.001 |
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".