Jagged1 is the major regulator of notch‐dependent cell fate in proximal airways
Bibliographic record
Abstract
BACKGROUND: The Notch signaling pathway plays complex roles in developing lungs, including regulation of proximodistal fates, airway cell specification and differentiation. However, the specific Notch-mediated signals involved in lung development remain unclear. RESULTS: Here we report that Jagged1 is expressed in a subset of bronchial and bronchiolar epithelial cells, where it controls proximal airway cell fate and differentiation. In agreement with previous studies involving disruption of all Notch signaling, we found that deletion of Jagged1 in airway epithelium increased the number of ciliated cells at the expense of Clara cells, a phenotype associated with downregulation of Hes1. Deletion of Jagged1 also led to an increased number of pulmonary neuroendocrine cells (PNEC), suggesting that Jagged1/Notch signaling inhibits PNEC cell fate. As expected, Jagged1 deletion did not affect alveolar cell differentiation, although alveolar septation was impaired, likely an indirect effect of proximal airway defects. Finally, in the postnatal lung, Jagged1 deletion induced mucous metaplasia, accompanied by downregulation of Hes1 and Hes5. CONCLUSIONS: Our results demonstrate that Jagged1-mediated Notch signaling regulates multiple cell fate decisions as well as differentiation in the respiratory system to coordinate lung development and to maintain a balance of airway cell types in adult life.
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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 | 0.001 |
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".