Abstract P013: Canopy 2 Encodes for a Novel Secreted Proangiogenic Factor that Revascularizes and Regenerates Murine Hearts Post Myocardial Infarction
Bibliographic record
Abstract
Through genomic screening of 256 novel genes by RT-PCR in human smooth muscle cells, we discovered that Canopy 2 (CNPY2), previously named as MSAP, TMEM4 or ZSIG9, actually encodes for a secreted pro-angiogenic factor, which was differentially regulated by in vitro hypoxia. Tissue distribution profile reveals that CNPY2 has the highest expression levels in the heart, liver and lung. Surprisingly, CNPY2 was dramatically downregulated (∼2–5 fold) in the murine heart at day 1–7 post myocardial infarction. Recombinant CNPY2 proteins were purified both from E.coli to generate rabbit (blocking) antibodies, and from mammalian cells with proper folding and posttranslational modification to study signaling cascades. We demonstrate that recombinant CNPY2 protein binds to the extracellular domain of VEGFR2 and phosphorylates the intracellular Tyr 1175 and Tyr 1214 of VEGFR2, activates FAK and ERK which resulting in pERK nuclear translocation in human endothelial cells. On the other hand, CNPY2 binds to adhesion molecule desmoglein 1, activates Cdc42, PAK1 and FAK in human smooth muscle cells. CNPY2 reorganizes the dynamic vimentin structure in both cell types, resulting in an accelerated cell migration. In vivo delivery of recombination CNPY2 protein enhanced the blood capillary formation in a retinal ischemia/reperfusion mouse model, and dramatically revascularized blood vessel network, reduced infarct size and improved cardiac function in a rat myocardial infarction model. In line with the paracrine mechanism in (stem) cell-based therapy, our data suggests that CNPY2 might be employed as a promising therapeutic protein for ischemic tissue revascularization and regeneration.
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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) | 0.001 | 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) | 0.005 | 0.002 |
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".