Mammalian Numb Proteins Promote Notch1 Receptor Ubiquitination and Degradation of the Notch1 Intracellular Domain
Bibliographic record
Abstract
The cell fate determinant Numb influences developmental decisions by antagonizing the Notch signaling pathway. However, the underlying molecular mechanism of this inhibition is poorly understood. Here we report that the mammalian Numb protein promotes the ubiquitination of membrane-bound Notch1 receptor. Furthermore, Numb expression resulted in the degradation of the Notch intracellular domain following activation, which correlated with a loss of Notch-dependent transcriptional activation of the Hes1 promoter as measured by a Hes1 luciferase reporter assay. The phosphotyrosine-binding (PTB) domain of Numb was required for both Notch1 ubiquitination and down-regulation of Notch1 nuclear activity. Numb-mediated ubiquitination of Notch1 was not dependent on the PEST region, which was previously shown to mediate Sel10-dependent ubiquitination of Notch in the nucleus, suggesting a distinct E3 ubiquitin ligase is involved. In agreement we demonstrate that Numb interacts with the cytosolic HECT domain-containing E3 ligase Itch and that Numb and Itch act cooperatively to promote ubiquitination of membrane-tethered Notch1. These results suggest that Numb recruits components of the ubiquitination machinery to the Notch receptor thereby facilitating Notch1 ubiquitination at the membrane, which in turn promotes degradation of the intracellular domain circumventing its nuclear translocation and downstream activation of Notch1 target genes.
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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) | 0.002 | 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".