Transforming growth factor‐β inhibits nephronectin‐induced osteoblast differentiation
Bibliographic record
Abstract
We used cDNA microarray to identify transforming growth factor beta (TGF-beta) responsive target genes during osteoblast development and found that nephronectin (Npnt) is one such gene that is significantly down-regulated. Here we report the role of TGF-beta in regulating Npnt-mediated osteoblast differentiation. We found that the effect of TGF-beta on Npnt expression is associated with a change in cell morphology in a dose-dependent manner. Npnt-induced osteoblast differentiation was also inhibited by TGF-beta, which changed cell morphology from cuboidal to fibroblastic, an indication that osteoblast differentiation was disrupted. Furthermore, TGF-beta inhibited differentiation of osteoblasts transfected with various truncated Npnt constructs, suggesting that TGF-beta can exert a down-stream effect on Npnt function. Our results suggest that TGF-beta can inhibit osteoblast differentiation through various mechanisms.
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 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".