Vascular Endothelial Growth Factor-dependent Down-regulation of Flk-1/KDR Involves Cbl-mediated Ubiquitination
Bibliographic record
Abstract
Ligand-stimulated degradation of receptor tyrosine kinase (RTK) is an important regulatory step of signal transduction. The vascular endothelial growth factor (VEGF) receptor Flk-1/KDR is responsible for the VEGF-stimulated nitric oxide (NO) production from endothelial cells. Cellular mechanisms mediating the negative regulation of Flk-1 signaling in endothelial cells have not been investigated. Here we show that Flk-1 is rapidly down-regulated following VEGF stimulation of bovine aortic endothelial cells (BAECs). Consequently, VEGF pretreatment of endothelial cells prevents any further stimulation of Flk-1, resulting in decreased NO production from subsequent VEGF challenges. Ubiquitination of RTKs targets them for degradation; we demonstrate that activation of Flk-1 by VEGF leads to its polyubiquitination in BAECs. Furthermore, VEGF stimulation of BAECs or COS-7 cells transiently transfected with Flk-1 results in the phosphorylation of the ubiquitin ligase Cbl, the enhanced association of Cbl with Flk-1, and the relocalization of Cbl to vesicular structures in BAECs. Overexpression of Cbl in COS-7 cells enhances VEGF-induced ubiquitination of Flk-1, whereas a Cbl mutant lacking the ubiquitin ligase RING finger domain, 70Z/3-Cbl, does not. Moreover, expression of Cbl in contrast to 70Z/3-Cbl inhibits the Flk-1-dependent activation of eNOS and, thus, NO release. In BAEC overexpressing Cbl, the degradation of Flk-1 upon VEGF stimulation is accelerated compared with cells transfected with a control vector (green fluorescent protein). Our findings demonstrate that Flk-1 is rapidly down-regulated following sustained VEGF stimulation and identify Cbl as a negative regulator of Flk-1 signaling to eNOS. Cbl thus plays a role in the regulation of VEGF signaling by mediating the stimulated ubiquitination and, consequently, degradation of Flk-1 in endothelial cells.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".