Immunosynapse formation coincides with rapid activation of NK cells by syngeneic T cells and correlates with clustering of MHC class I
Bibliographic record
Abstract
T cells cultured for 3 h with antigen-presenting cells (APCs) stimulated syngeneic IL-2-activated NK cells as measured via a standard chromium-release assay. Discrete caps containing both TCR and MHC-I had formed on the surface of these activated T cells. When conjugates were formed between NK cells and these activated T cells, >80% of the contact sites were in the MHC-I(dim) region outside the TCR-MHC-I cap. Stimulation with phorbol myristate acetate plus Ionomycin, which bypasses the need for cell surface events during activation, did not induce either cap formation or NK cell activation. Further, the addition of the protein transport inhibitor Brefeldin A did not block activation of NK cells. MHC-I is the major inhibitory ligand recognized by NK cells. One possible mechanism for the activation of NK cells by TCR-MHC-I-capped T cells is that aggregation of MHC-I into one region leaves the remaining T cell surface denuded of ligands for NK-inhibitory receptors. As a test of this hypothesis, we aggregated MHC-I on T cells with plate-bound anti-MHC-I mAb. This treatment conferred upon the T cells the capacity to activate NK cells, suggesting that MHC-I clustering could contribute to the observed phenomenon.
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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".