Antibody blockade of Thy‐1 (CD90) impairs mouse cytotoxic T lymphocyte induction by anti‐CD3 monoclonal antibody
Bibliographic record
Abstract
Thy-1 (CD90) expressed by mouse T cells is known to have signal transducing properties, but the ability of Thy-1 to enhance cytotoxic T lymphocyte (CTL) development is not well understood. Here we show that stimulation of mouse T cells with monoclonal antibodies (mAb) to CD3, CD28 and Thy-1 (clone G7), which were coimmobilized on polystyrene microbeads, resulted in a greater proliferative response than stimulation with only anti-CD3 and anti-CD28 mAb, indicating that Thy-1 cross-linking enhanced T cell receptor/CD28-driven T cell activation. Consistent with this finding, Thy-1 blockade with a soluble nonactivating anti-Thy-1 mAb (clone 30-H12) inhibited anti-CD3-induced proliferation of CD4+ and CD8+ T cells, and the induction of cytotoxic effector cells in a dose-dependent fashion. Interleukin-2 synthesis and CD25 expression were also impaired by Thy-1 blockade. The inhibitory effect involved a defect at or before the level of protein kinase C activation because the addition of phorbol ester ablated the anti-Thy-1-mediated inhibition of anti-CD3-induced T cell activation. The CTL that were induced in the presence of blocking anti-Thy-1 mAb adhered to target cells but showed reduced expression of granzyme B and perforin. In contrast, Fas ligand expression and function was not affected by Thy-1 blockade. We conclude that Thy-1 signalling promotes the in vitro generation of CTL that kill in a granule-dependent fashion.
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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) | 0.001 | 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".