Identification of VEGF receptor-2 tyrosine phosphorylation sites involved in VEGF-mediated endothelial platelet-activating factor synthesis
Bibliographic record
Abstract
Vascular endothelial growth factor (VEGF)-mediated inflammation requires the synthesis of acute platelet-activating factor (PAF) by endothelial cells (ECs). We previously reported that VEGF-mediated PAF synthesis involves the activation of the homodimeric tyrosine kinase receptor VEGFR-2/R-2, leading to the recruitment of p38 and p42/p44 mitogen-activated protein kinases (MAPKs) and activation of secreted group V phospholipase A₂ (sPLA₂-V). We have also reported that VEGF-A₁₆₅-mediated prostacyclin (PGI₂) synthesis requires VEGFR-1/R-2 heterodimeric receptor activation. Selective activation of VEGF receptors can coordinate the synthesis of pro-PAF and anti-PGI₂ inflammatory factors. It is unknown which VEGFR-2 tyrosine phosphorylation site(s) contribute(s) to PAF synthesis. Bovine aortic endothelial cells (BAECs) were transfected with pcDNA vectors encoding for native VEGF receptor-2 (VEGFR-2) cDNA or VEGFR-2 cDNA containing tyrosine phosphorylation sites mutated into phenylalanine residues (Y801F, Y1059F, Y1175F, Y1214F); an empty pcDNA vector was used as a negative control. Treatment of pcDNA-transfected BAECs with VEGF (10⁻⁹ mol/L) for 15 min increased PAF synthesis by 180%. In BAECs transfected with pcDNA vectors encoding mutated Y801F, Y1059F, Y1175F, or Y1214F VEGFR-2 cDNA, we observed a marked reduction of VEGF-mediated PAF synthesis by 38%, 46%, 69%, and 31%, respectively, compared with BAECs transfected with pcDNA vector encoding VEGFR-2 cDNA. Our data provide a novel insight as to the mechanisms by which VEGF promotes PAF synthesis.
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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) | 0.000 | 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) | 0.000 | 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".