An Accessory Role for B Cells in the IL-12-Induced Activation of Resting Mouse NK Cells
Bibliographic record
Abstract
IL-12 is a potent proinflammatory cytokine. The effects of IL-12 are thought to be mediated by IFN-gamma production by NK, NKT, and T cells. In this study, we show that although IL-12 stimulates NK and NK1.1(+) T cells in bulk mouse splenocytes, it does not significantly stimulate purified NK cells, indicating that other cells are required. IL-12 stimulates T cell-deficient spleen cells and those depleted of macrophages. Unexpectedly, the depletion of dendritic cells also has little effect on the stimulation of spleen cells with IL-12. In contrast, B cell depletion almost completely inhibits IL-12-induced IFN-gamma production and B cell-deficient spleen cells are poorly stimulated with IL-12. Furthermore, purified NK cells are stimulated with IL-12 in the presence of purified B cells. Thus, B cells are necessary and also sufficient for the stimulation of purified NK cells with IL-12. Whereas spleen cells from IL-18-deficient mice are not stimulated with IL-12, NK cells purified from IL-18-deficient mice are stimulated with IL-12 in the presence of wild-type (WT) B cells, and WT NK cells are not stimulated with IL-12 in the presence of IL-18-deficient B cells. Cell contact between B and NK cells is also required for IL-12-induced IFN-gamma production. Finally, B cell-deficient mice injected with IL-12 produce significantly less IFN-gamma and IL-18 in the sera than WT mice do. Thus, stimulation of NK cells with IL-12 requires B cell cooperation in vitro as well as in vivo.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".