Smad3 Mediates Transforming Growth Factor-β-induced Collagenase-3 (Matrix Metalloproteinase-13) Expression in Human Gingival Fibroblasts
Bibliographic record
Abstract
Transforming growth factor-beta (TGF-beta) is a potent inducer of collagenase-3 (MMP-13) gene expression in human gingival fibroblasts, and this requires activation of the p38 mitogen-activated protein kinase pathway. Here, we have constructed recombinant adenoviruses harboring genes for hemagglutinin-tagged Smad2, Smad3, and Smad4 and used these in dissecting the role of Smads, the signaling mediators of TGF-beta, in regulation of endogenous MMP-13 gene expression in human gingival fibroblasts. Adenoviral expression of Smad3, but not Smad2, augmented the TGF-beta-elicited induction of MMP-13 expression. In addition, adenoviral gene delivery of dominant negative Smad3 blocked the TGF-beta-induced MMP-13 expression in gingival fibroblasts. Co-expression of Smad3 with constitutively active MKK3b and MKK6b, the upstream activators of p38, resulted in nuclear translocation of Smad3 in the absence of TGF-beta and in induction of MMP-13 expression. The induction of MMP-13 expression by Smad3 and constitutively active mutants of MKK3b or MKK6b was blocked by specific p38 inhibitor SB203580 and by the dominant negative form of p38alpha. These results show that TGF-beta-induced expression of human MMP-13 gene in gingival fibroblasts is dependent on the activation of two distinct signaling pathways (i.e. Smad3 and p38alpha). In addition, these findings provide evidence for a novel type of cross-talk between Smad and p38 mitogen-activated protein kinase signaling cascades, which involves activation of Smad3 by p38alpha.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".