Stratifin-Induced Matrix Metalloproteinase-1 in Fibroblast Is Mediated by c-fos and p38 Mitogen-Activated Protein Kinase Activation
Bibliographic record
Abstract
Previously, we have demonstrated that keratinocyte releasable stratifin, also known as 14-3-3 sigma protein, stimulates matrix metalloproteinase (MMP)-1 expression in dermal fibroblasts. In this study, we showed that stratifin induced fibroblast MMP-1 messenger ribonucleic acid (mRNA) and protein levels through p38 mitogen-activated protein kinase (MAPK). Our data indicated that treatment of dermal fibroblasts with stratifin resulted in rapid and transient upregulation of c-jun and c-fos mRNA levels. We also demonstrated that SB203580 (SB), a specific inhibitor of p38 MAPK activity, inhibited the activation of fibroblast MMP-1 mRNA expression by stratifin. Subsequently, western blot analysis revealed phosphorylation of p38 at 90 min after stratifin stimulation and this was decreased to approximately 50% of the maximum value by 120 min. Stratifin was demonstrated to increase MMP-1 protein levels starting at 4 h and reaching its peak at 12-24 h. Furthermore, SB significantly blocked the stratifin induction of MMP-1 protein levels (***p<0.005, n=3). Microarray analysis of stratifin-treated fibroblasts shows an increase in Elk4/Sap1 mRNA expression and this finding was confirmed by northern blot analysis. Our results indicate that stratifin markedly increase Elk4/Sap1 mRNA expression in a time-dependent fashion. In conclusion, stratifin stimulates fibroblast MMP-1 levels through the activation of c-fos and MAPK pathway.
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) | 0.001 | 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 | 0.000 |
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".