Reelin regulates differentiation of neural stem cells by activation of notch signaling through Disabled-1 tyrosine phosphorylation
Bibliographic record
Abstract
We have previously reported the cross-talk between Reelin and Notch-1 signaling pathways, which are 2 major pathways that regulate brain development. We found that Reelin activated Notch-1 signaling, leading to the expression of brain lipid binding protein (BLBP) and the formation of radial glial cells in human neural progenitor cells (hNPCs). In the current study, we investigated the molecular mechanisms by which Reelin activates Notch-1. We show that Reelin-stimulated Notch-1 activation is dependent on Reelin signaling. The induction of Disabled-1 (Dab-1) tyrosine phosphorylation, and the subsequent activation of Src family kinases, were found to be essential steps for the activation of Notch-1 signaling by Reelin. Reelin treatment increased the interaction between Dab-1 and Notch-1 intracellular domain (NICD), and enhanced NICD translocation to the nucleus. This study advances our knowledge of the regulation of Notch-1 activation by Reelin signaling in hNPCs, as an approach to understanding cell fate determination, differentiation, and neurogenesis during brain development.
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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 | 0.000 |
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".