CXCR6/CXCL16 is required for optimal NKT cell and dendritic cell interactions (33.2)
Bibliographic record
Abstract
Abstract Natural killer T (NKT) cells are a conserved T cell sublineage which rapidly produces cytokines upon activation by glycolipid antigens (i.e. α-GalCer) presented by dendritic cells (DC). Cross-talk between NKT cells and DCs is important in the initiation of anti-tumour responses. The objective of this study was to determine the role of CXCR6/CXCL16 in NKT cell-DC interactions. The chemokine receptor, CXCR6, is highly expressed on NKT cells, while its ligand, CXCL16, is expressed on DCs. When liver NKT cells were cultured with recombinant CXCL16 in vitro they were not activated directly. However, CXCL16 did enhance IFN-γ production in vitro when NKT cells were stimulated with suboptimal doses of plate bound anti-CD3. The presence of CXCL16 on the surface of DC is also important for NKT cell production of IFN-γ. NKT cells cultured with α-GalCer loaded CXCL16+ DC produced more IFN-γ than those cultured with CXCL16- DC. CXCL16+ DC stimulated more NKT cell IFN-γ production than CXCL16- DC in vivo as well. CD8+ DC constitutively express CXCL16 while all other DC subsets upregulate CXCL16 expression following α-GalCer stimulation. This is dependent on NKT cells since CXCL16 upregulation did not occur in NKT cell deficient (Jα18-/-) mice. DC maturation is also attenuated in the absence of CXCL16 signaling. These results suggest that CXCR6/CXCL16 is required for full NKT cell and dendritic cell activation/maturation.
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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) | 0.009 | 0.003 |
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".