Immunologic outcomes of bidirectional cross talk between gamma delta T cells and dendritic cells is context dependent
Bibliographic record
Abstract
Abstract T cells expressing the gamma delta (γδ) T cell receptor are a minor cell population, but a critical component of innate immunity. γδ T cells can also influence adaptive immunity through their functional impact on dendritic cells (DC). To investigate the interaction between these cell types, we co-cultured peripheral blood γδ T cells from healthy volunteers with autologous monocyte derived DC. When immature DC (iDC) were co-cultured with resting human γδ T cells in the presence of zoledronate (Zol), drug that activates Vγ9δ2 T cells, DC maturation occurred. Blocking studies determined that γδ T cell-induced DC maturation was partially mediated by TNF-a and IFN-g. Moreover, γδ T cell-activated DC produced enhanced levels of IL-12p70. Interestingly, when activated effector γδ T cells were co-cultured with iDC in the presence of Zol a high degree iDC cell death was noted, suggesting a regulatory role of γδ T cells. When studying the impact of mature DC on γδ T cell function, we found that IL-12p70 deficient PGE-2 matured DC had a higher capacity to expand resting γδ T cells, that expressed higher levels of CD16, and were particularly less sensitive to apoptosis than those co-cultured with high IL-12p70-producing interferon-matured DC. Our findings show that the outcome of bidirectional cross talk between γδ T cells and DC is dependent on the context and activation status of each cell type, and that each regulate and modulate the immune function of the other.
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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 | 0.000 |
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".