Scube2 Modulates Coronary Vessel Formation during Cardiac Growth and Regeneration in Zebrafish
Bibliographic record
Abstract
Abstract Coronary vessel formation is essential for cardiac growth and regeneration, yet the mechanisms regulating these processes remain incompletely defined. In this study, we identified and characterized Scube2 as a novel regulator in coronary vessel formation and heart regeneration. Scube2 is expressed in the epicardium covering the coronary vasculature under homeostatic conditions in adult hearts and is strongly upregulated after cardiac injury. Zebrafish scube2 mutant exhibits reduced coronary vessel coverage during cardiac growth and pronounced myocardial defects, including abnormal vessel morphology, disorganized contractile fibers, and mitochondrial damage. Following injury, scube2 mutant hearts show impaired revascularization and persistent fibrosis, indicating defective regeneration. Mechanistically, transcriptomic profiling of scube2 mutant hearts reveals attenuated expression of angiogenic-related genes, including those mediated by vascular endothelial and platelet-derived growth factors, consistent with reduced proliferation of endothelial cells and cardiomyocytes during repair. In a gain-of-function setting, SCUBE2 enhances platelet-derived growth factor signaling by promoting receptor activation in HEK293 cells. These findings support a novel role for Scube2 in cardiac growth and regeneration by modulating coronary vessel formation. Graphical Abstract
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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) | 0.004 | 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".