Critical Roles of RasGRP1 for Invariant NKT Cell Development
Bibliographic record
Abstract
The invariant NKT (iNKT) cell lineage contains CD4(+) and CD4(-) subsets. The mechanisms that control such subset differentiation and iNKT cell maturation in general have not been fully understood. RasGRP1, a guanine nucleotide exchange factor for TCR-induced activation of the Ras-ERK1/2 pathway, is critical for conventional αβ T cell development but dispensable for generating regulatory T cells. Its role in iNKT cells has been unknown. In this study, we report severe decreases of iNKT cells in RasGRP1(-/-) mice through cell intrinsic mechanisms. In the remaining iNKT cells in RasGRP1(-/-) mice, there is a selective absence of the CD4(+) subset. Furthermore, RasGRP1(-/-) iNKT cells are defective in TCR-induced proliferation in vitro. These observations establish that RasGRP1 is not only important for early iNKT cell development but also for the generation/maintenance of the CD4(+) iNKT cells. Our data provide genetic evidence that the CD4(+) and CD4(-) iNKT cells are distinct sublineages with differential signaling requirements for their development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".