A secreted protein (Canopy 2, CNPY2) enhances angiogenesis and promotes smooth muscle cell migration and proliferation
Bibliographic record
Abstract
AIMS: Ischaemic heart disease is a leading cause of mortality. After ischaemic injury, tissue hypoxia induces the activity of angiogenic factors that promote revascularization. Increased understanding of hypoxia-responsive genes and their role in angiogenesis will lead to new therapies for ischaemic injury. We delineated the function of Canopy 2 (CNPY2), a newly discovered, hypoxia-regulated gene. METHODS AND RESULTS: We found CNPY2 in a screen for genes induced by low oxygen in human smooth muscle cells (SMCs). CNPY2 protein co-localized with the endoplasmic reticulum and the Golgi. Treatment with Brefeldin A, which destroys Golgi stacks, resulted in CNPY2 accumulation in the endoplasmic reticulum. Secreted CNPY2 was detected in the blood of healthy mice and humans, and the medium of cultured SMCs. SMCs under hypoxia or treated with a prolyl-4-hydroxylase inhibitor stabilized HIF-1α protein and up-regulated CNPY2, while CNPY2 induction was lost after HIF-1α silencing. Chromatin immunoprecipitation demonstrated that HIF-1α binds to a hypoxia response element (HRE-1157) upstream of the human CNPY2 promoter, which was verified by a luciferase reporter driven by HRE-1157-containing constructs. CNPY2 stimulation activated Cdc42, PAK1, and FAK in SMCs, resulting in enhanced proliferation and migration in vitro, and dramatic aortic ring sprouting ex vivo. CNPY2 significantly increased revascularization of the mouse retina after reperfusion injury. CONCLUSIONS: CNPY2 is a HIF-1α-regulated, secreted angiogenic growth factor that promotes SMC migration, proliferation, and tissue revascularization. This new target may have a broader profile than currently available proteins.
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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".