Faculty Opinions recommendation of The molecular basis of vascular lumen formation in the developing mouse aorta.
Bibliographic record
Abstract
In vertebrates, endothelial cells (ECs) form blood vessels in every tissue. Here, we investigated vascular lumen formation in the developing aorta, the first and largest arterial blood vessel in all vertebrates. Comprehensive imaging, pharmacological manipulation, and genetic approaches reveal that, in mouse embryos, the aortic lumen develops extracellularly between adjacent ECs. We show that ECs adhere to each other, and that CD34-sialomucins, Moesin, F-actin, and non-muscle Myosin II localize at the endothelial cell-cell contact to define the luminal cell surface. Resultant changes in EC shape lead to lumen formation. Importantly, VE-Cadherin and VEGF-A act at different steps. VE-Cadherin is required for localizing CD34-sialomucins to the endothelial cell-cell contact, a prerequisite to Moesin and F-actin recruitment. In contrast, VEGF-A is required for F-actin-nm-Myosin II interactions and EC shape change. Based on these data, we propose a molecular mechanism of in vivo vascular lumen formation in developing blood vessels. PMID: 19853564 Funding information This work was supported by: Canadian Institutes of Health Research, Canada
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.060 | 0.027 |
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".