Involvement of numb in vertebrate retinal development: Evidence for multiple roles of numb in neural differentiation and maturation
Bibliographic record
Abstract
Cell fate specification is regulated in part by lateral inhibition mediated by Notch signaling. Notch signaling is negatively regulated by Numb, an intrinsic factor that regulates cellular competence. In this study we have examined the involvement of Numb in retinal development, which has been shown to be influenced by Notch signaling. In the developing retina, Numb is asymmetrically distributed towards the ventricular and vitreal poles of different cells. Asymmetric localization is evident not only in mitotic cells but in postmitotic ganglion cells as well, suggesting that the subcellular distribution of Numb may play a role after cells have exited the cell cycle. This is supported by the expression of Numb in terminally differentiated neurons in the adult retina. Although Numb is an intrinsic factor, it is observed that its subcellular distribution is influenced by epigenetic cues such that a higher proportion of cells cultured at high density express Numb asymmetrically. A correlation is observed between asymmetric localization and cellular competence; cells in which Numb is asymmetric differentiate more readily in culture than those that express Numb symmetrically. We have identified alternative splice variants in the developing and adult retina that correspond to isoforms that have been shown to regulate proliferation and differentiation. The dynamic temporal expression patterns of alternative splice variants and isoforms suggest that Numb may influence proliferation and differentiation of retinal progenitors during neurogenesis and maturation of postmitotic neurons. Together, these results demonstrate the complex role of the distribution of Numb within progenitors and postmitotic neurons.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".