Regulation of NKT Cells by Ly49: Analysis of Primary NKT Cells and Generation of NKT Cell Line
Bibliographic record
Abstract
TCRalphabeta(+)NK1.1(+) (NKT) cells are known to express various NK cell-associated molecules including the Ly49 family of receptors for MHC class I, but its functional significance has been unclear. Here, we examined the expression of Ly49A, C/I and G2 on various NKT cell populations from normal and MHC class I-deficient C57BL/6 mice as well as their responsiveness to alpha-galactosylceramide (alpha-GalCer), a potent stimulator of CD1d-restricted NKT cells. The frequency and the level of Ly49 expression varied among NKT cells from different tissues, and were regulated by the expression of MHC class I and CD1d in the host. Stimulation of various NKT cells with alpha-GalCer suggested that Ly49 expression inversely correlates with the responsiveness of NKT cells to alpha-GalCer. Moreover, alpha-GalCer presented by normal dendritic cells stimulated purified Ly49(-), but not Ly49(+), splenic NKT cells, whereas MHC class I-deficient dendritic cells presented alpha-GalCer to both Ly49(+) and Ly49(-) NKT cells equally well. Therefore, MHC class I on APCs seems to inhibit activation of NKT cells expressing Ly49. To further characterize CD1d-restricted NKT cells, we generated an alpha-GalCer-responsive NKT cell line from thymocytes. The line could only be generated from Ly49(-)NK1.1(+)CD4(+) thymocytes but not from other NKT cell subsets, and it lost expression of NK1.1 and CD4 during culture. Together, these results indicate the functional significance of Ly49 expression on NKT cells.
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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) | 0.002 | 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".