Proprotein convertases promote processing of VEGF‐D, a critical step for binding the angiogenic receptor VEGFR‐2
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Vascular endothelial growth factor (VEGF)‐D is a secreted glycoprotein that induces angio‐genesis and lymphangiogenesis. It consists of a central domain, containing binding sites for VEGF receptor‐2 (VEGFR‐2) and VEGFR‐3, and N‐ and C‐terminal propep‐tides. It is secreted from the cell as homodimers of the full‐length form that can be proteolytically processed to remove the propeptides. It was recently shown, using adenoviral gene delivery, that fully processed VEGF‐D induces angiogenesis in vivo , whereas full‐length VEGF‐D does not. To better understand these observations, we monitored the effect of VEGF‐D processing on receptor binding using a full‐length VEGF‐D mutant that cannot be processed. This mutant binds VEGFR‐2, the receptor signaling for angiogenesis, with ~17, 000‐fold lower affinity than mature VEGF‐D, indicating the importance of processing for interaction with this receptor. Further, we show that members of the proprotein convertase (PC) family of proteases promote VEGF‐D processing, which facilitates the VEGF‐D/VEGFR‐2 interaction. The PCs furin and PC5 promote cleavage of both propeptides, whereas PC7 promotes cleavage of the C‐terminal propeptide only. The finding that PCs promote activation of VEGF‐D and other proteins with roles in cancer such as matrix metalloproteinases, emphasizes the importance of these enzymes as potential regulators of tumor progression and metastasis.—McColl, B. K., Paavonen, K., Karnezis, T., Harris, N. C., Davydova, N., Rothacker, J., Nice, E. C., Harder, K. W., Roufail, S., Hibbs, M. L., Rogers, P. A. W., Alitalo, K., Stacker, S. A., Achen, M. G. Proprotein convertases promote processing of VEGF‐D, a critical step for binding the angiogenic receptor VEGFR‐2. FASEB J. 21, 1088–1098 (2007)
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.
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 | 0.002 | 0.001 |
| 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 it