JNK and PI3K differentially regulate MMP-2 and MT1-MMP mRNA and protein in response to actin cytoskeleton reorganization in endothelial cells
Bibliographic record
Abstract
Increased production and activation of matrix metalloproteinase-2 (MMP-2) are critical events in skeletal muscle angiogenesis and are known to occur in response to mechanical stresses. We hypothesized that reorganization of the actin cytoskeleton would increase endothelial cell production and activation of MMP-2 and that this increase would require a MAPK-dependent signaling pathway in endothelial cells. The pharmacological actin depolymerization agent cytochalasin D increased expression of MMP-2 and membrane type 1-matrix metalloproteinase (MT1-MMP) mRNA, and this was reduced significantly in the presence of the JNK inhibitor SP600125. Activation of JNK by anisomycin was sufficient to induce expression of both MMP-2 and MT1-MMP mRNA in quiescent cells. Downregulation of c-Jun, a downstream target of JNK, with small interference (si)RNA inhibited MMP-2 expression in response to anisomycin. Inhibition of phosphoinositide 3-kinase (PI3K), but not JNK, significantly decreased the amount of active MMP-2 following cytochalasin D stimulation with a concurrent decrease in MT1-MMP protein. Physiological reorganization of actin occurs during VEGF stimulation. VEGF-induced MMP-2 protein production and activation, as well as MT1-MMP protein production, depended on PI3K activity. VEGF-induced MMP-2 mRNA expression was reduced by inhibition of JNK or by treatment with c-Jun siRNA. In summary, our results provide novel insight into the signaling cascades initiated in the early stages of angiogenesis through the reorganization of the actin cytoskeleton and demonstrate a critical role for JNK in regulating MMP-2 and MT1-MMP mRNA expression, whereas PI3K regulates protein levels of both MMP-2 and MT1-MMP.
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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) | 0.001 | 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".