Ly-6A is critical for the function of double negative regulatory T cells
Bibliographic record
Abstract
We have recently demonstrated that CD3+CD4-CD8- double negative (DN) T cells can down-regulate allogeneic immune responses both in vitro and in vivo by killing activated syngeneic CD8+ T cells. The goal of this study was to identify molecules that are crucial for DN T cell-mediated suppression. We demonstrate that Ly-6A (Sca-1) is highly expressed on DN T cells. Incubation with IL-10 significantly reduced Ly-6A expression and the function of DN T cells. DN T cell-mediated killing was significantly reduced when Ly-6A was blocked.Ly-6A-deficient mice showed an accelerated allograft rejection when compared to wild-type controls. Furthermore we demonstrate that pretransplantation donor lymphocyte infusion (DLI) led to activation and proliferation of recipient DN T cells and prolongation of bm1-->B6 skin allograft survival. However, when the recipients were deficient in Ly-6A, the beneficial effect of DLI on allograft survival was abolished. Moreover, deficiency in Ly-6A did not affect the activation and proliferation of DN T cells. Rather, it impaired the ability of DN T cells to kill activated anti-donor CD8+ T cells. Taken together, our data indicate that Ly-6A plays a crucial role in DN T cell-mediated regulation in vitro and in vivo, perhaps by enhancing DN-CD8+ T cell signaling.
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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) | 0.001 | 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".