Nephronectin promotes osteoblast differentiation via the epidermal growth factor‐like repeats
Bibliographic record
Abstract
We found that nephronectin was significantly down-regulated by TGF-beta1. To determine the function of nephronectin in osteogenesis, we generated various constructs to produce stable MC3T3-E1 cell lines, expressing and secreting nephronectin protein, including full-length (Npnt), lacking EGF-like repeats (Np-MAM), and lacking RGD and MAM domains (Np-EGF). We demonstrated that nephronectin promotes differentiation during osteoblast differentiation and the EGF-like repeats were essential. Lack of these repeats resulted in inhibiting the change in morphology. Over-expression of nephronectin results in earlier formation of bone nodules than the vector control. ERK activation is essential for nephronectin-induced osteoblast differentiation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".