Cover Image
Bibliographic record
Abstract
Background: Endothelial‐mesenchymal transformation (EndMT) is essential for endocardial cushion formation during cardiac morphogenesis. We recently identified Tmem100 as an endothelial gene indispensable for vascular development. In this study, we further investigated its roles for EndMT during atrioventricular canal (AVC) cushion formation. Results: Tmem100 was expressed in AVC endocardial cells, and Tmem100 null embryos showed severe EndMT defect in the AVC cushions. While calcineurin‐dependent suppression of vascular endothelial growth factor (VEGF) expression in the AVC myocardium is important for EndMT, significant up‐regulation of Vegfa expression was observed in Tmem100 null heart. EndMT impaired in Tmem100 null AVC explants was partially but significantly restored by the expression of constitutively‐active calcineurin A, suggesting dysregulation of myocardial calcineurin‐VEGF signaling in Tmem100 null heart. Moreover, Tmem100 null endocardial cells in explant culture did not show EndMT in response to the treatment with myocardium‐derived growth factors, transforming growth factor β2 and bone morphogenetic protein 2, indicating involvement of an additional endocardial‐specific abnormality in the mechanism of EndMT defect. The lack of NFATc1 nuclear translocation in endocardial cells of Tmem100 null embryos suggests impairment of endocardial calcium signaling. Conclusions: The Tmem100 deficiency causes EndMT defect during AVC cushion formation possibly via disturbance of multiple calcium‐related signaling events. Developmental Dynamics 244:31–42, 2015. © 2014 Wiley Periodicals, Inc.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.856 | 0.704 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".