Notch signaling in group 3 innate lymphoid cells modulates their plasticity
Bibliographic record
Abstract
The Notch signaling pathway is conserved throughout evolution, and it controls various processes, including cell fate determination, differentiation, and proliferation. Innate lymphoid cells (ILCs) are lymphoid cells lacking antigen receptors that fulfill effector and regulatory functions in innate immunity and tissue remodeling. Type 3 ILCs (ILC3s) reinforce the epithelial barrier and maintain homeostasis with intestinal microbiota. We demonstrated that the population of natural cytotoxicity receptor-positive (NCR(+)) ILC3s in mice is composed of two subsets that have distinct developmental requirements. A major subset depended on the activation of Notch2 in NCR(-) ILC3 precursors in the lamina propria of the small intestine to stimulate expression of the genes encoding the transcription factors T-bet, RORγt, and aryl hydrocarbon receptor (AhR). Notch signaling contributed to the transition of NCR(-) cells into NCR(+) cells, the more proinflammatory subset, in a cell-autonomous manner. In the absence of Notch signaling, this subset of NCR(-) ILC3s did not acquire the gene expression profile of NCR(+) ILC3s. A second subset of NCR(+) ILC3s did not depend on Notch for their development or for increased transcription factor abundance; however, their production of cytokines and cell surface abundance of NCRs were decreased in the absence of Notch signaling. Together, our data suggest that Notch is a regulator of the plasticity of ILC3s by controlling NCR(+) cell fate.
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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".