SLAM family receptors are key drivers of CD8 T cell immunity towards B cells (IRM12P.657)
Bibliographic record
Abstract
Abstract Epstein-Barr virus (EBV) poses serious health consequences for immunocompromised individuals, such as patients undergoing transplant or chemotherapeutic regimens, and is strongly associated with an expanding list of human cancers. To gain insight into immunity against EBV, a rare congenital immunodeficiency defined by exquisite sensitivity to EBV but not other pathogens called X-linked lymphoproliferative disease, a syndrome caused by mutations in the SH2D1A gene that encodes SLAM-associated protein (SAP), has been the subject of intense investigation. The unique B cell tropism of EBV led us to speculate that SAP and SLAM family receptors are especially critical for optimal CD8 T cell immunity against antigen-expressing B cells and B lymphoma cells. Consistent with this hypothesis, Sh2d1a-/- CD8 T cells exhibited greatly diminished proliferation and effector functions relative to wild type CD8 T cells when cultured with antigen-coated B cells or B lymphoma cells in vitro. By contrast, both wild type and Sh2d1a-/- CD8 T cells responded robustly when stimulated with either antigen-coated B cell-depleted splenocytes or antigen-presenting tumor cells lacking SLAM family receptor expression. Collectively, these observations suggest that the recognition of SLAM family receptors on the surface of antigen presenting-B cells and -B lymphoma cells are essential for antigen priming and immunosurveillance by CD8 T cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".