Soluble Jagged1 Attenuates Lateral Inhibition, Allowing for the Clonal Expansion of Neural Crest Stem Cells
Bibliographic record
Abstract
The activation of Notch signaling in neural crest stem cells (NCSCs) results in the rapid loss of neurogenic potential and differentiation into glia. We now show that the attenuation of endogenous Notch signaling within expanding NCSC clones by the Notch ligand soluble Jagged1 (sJ1), maintains NCSCs in a clonal self-renewing state in vitro without affecting their sensitivity to instructive differentiation signals observed previously during NCSC self-renewal. sJ1 functions as a competitive inhibitor of Notch signaling to modulate endogenous cell-cell communication to levels sufficient to inhibit neural differentiation but insufficient to instruct gliogenic differentiation. Attenuated Notch signaling promotes the induction and nonclassic release of fibroblast growth factor 1 (FGF1). The functions of sJ1 and FGF1 signaling are complementary, as abrogation of FGF signaling diminishes the ability of sJ1 to promote NCSC expansion, yet the secondary NCSCs maintain the dosage sensitivity of the founder. These results validate and build upon previous studies on the role of Notch signaling in stem cell self-renewal and suggest that the differentiation bias or self-renewal potential of NCSCs is intrinsically linked to the level of endogenous Notch signaling. This should provide a unique opportunity for the expansion of NCSCs ex vivo without altering their differentiation bias for clinical cell replacement or transplant strategies in tissue repair. Disclosure of potential conflicts of interest is found at the end of this article.
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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 | 0.001 |
| 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".