Regulation of Vascular Endothelial Growth Factor Receptor 2-mediated Phosphorylation of Focal Adhesion Kinase by Heat Shock Protein 90 and Src Kinase Activities
Bibliographic record
Abstract
Exposure of endothelial cells to vascular endothelial growth factor (VEGF) induced tyrosine phosphorylation of focal adhesion kinase (FAK) on site Tyr(407), an effect that required the association of VEGF receptor 2 (VEGFR2) with HSP90. The association of VEGFR2 with HSP90 involved the last 130 amino acids of VEGFR2 and was blocked by geldanamycin, a specific inhibitor of HSP90. Moreover, geldanamycin inhibited the VEGF-induced activation of the small GTPase RhoA, which resulted in an inhibition of phosphorylation of FAK on site Tyr(407). In this context, the inhibition of RhoA kinase (ROCK) with Y27632 or by expression of dominant negative forms of RhoA or ROCK impaired the VEGF-induced phosphorylation of Tyr(407) within FAK. In contrast to phosphorylation of Tyr(861), the phosphorylation of site Tyr(407) was insensitive to Src kinase inhibition by 4-amino-5-(4-chlorophenyl)-7-(t-butyl) pyrazolo[3,4-d] pyrimidine (PP2). We also found that the recruitment of paxillin to FAK was inhibited by geldanamycin but not by PP2, whereas both geldanamycin and PP2 inhibited the recruitment of vinculin to FAK. In accordance, the recruitment of paxillin and vinculin to FAK was inhibited in cells that express the mutant FAK-Y407F, whereas the expression of the mutant Y861F inhibited the recruitment of paxillin but not of vinculin. Importantly, cell migration was abolished in cells in which the signal from the VEGFR2-HSP90 pathway was blocked by the expression of Delta130VEGFR2, a deletant of VEGFR2 that does not associate with HSP90. Our findings underscore for the first time the key role played by the VEGFR2-HSP90-RhoA-ROCK-FAK/Tyr(407) pathway in transducing the VEGF signal that leads to the assembly of focal adhesions and endothelial cell migration.
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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".