Expression of collagenase-3 (MMP-13) and collagenase-1 (MMP-1) by transformed keratinocytes is dependent on the activity of p38 mitogen-activated protein kinase
Bibliographic record
Abstract
Collagenase-3 (MMP-13) is a human matrix metalloproteinase specifically expressed by transformed squamous epithelial cells, i.e. squamous cell carcinoma (SCC) cells in culture and in vivo. Here, we have elucidated the signaling pathways regulating MMP-13 expression in transformed human epidermal keratinocytes, i.e. ras-transformed HaCaT cell line A-5 and cutaneous SCC cell line (UT-SCC-7). Treatment with tumor necrosis factor-(alpha) (TNF-(alpha) resulted in activation of extracellular signal-regulated kinase (ERK)1,2, Jun N-terminal kinase and p38 mitogen-activated protein kinase (MAPK) in both cell lines. In addition, transforming growth factor-(beta) (TGF-(beta) activated p38 MAPK in both cell lines, and ERK2 in A-5 cells. Selective inhibition of p38 activity with SB 203580 abolished the enhancement of MMP-13, as well as collagenase-1 (MMP-1) and 92-kDa gelatinase (MMP-9) expression by TNF-(alpha) and TGF-(beta). Blocking the ERK1, 2 pathway by PD 98059 had no effect on the induction of MMP-13 expression by TNF-(alpha) or TGF-(beta), but potently suppressed MMP-1 and MMP-9 production. Inhibition of p38 activity by SB 203580 also suppressed collagenolytic activity produced by both cell lines and inhibited invasion of TNF-(alpha) or TGF-(beta) stimulated A-5 cells through type I collagen and reconstituted basement membrane (Matrigel). These results show that activation of p38 MAPK pathway plays a crucial role in the invasive phenotype of transformed squamous epithelial cells, suggesting p38 MAPK as a target to specifically inhibit their invasion.
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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) | 0.001 | 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".