CD2-CD48 Interactions Promote Cytotoxic T Lymphocyte Induction and Function: Anti-CD2 and Anti-CD48 Antibodies Impair Cytokine Synthesis, Proliferation, Target Recognition/Adhesion, and Cytotoxicity
Bibliographic record
Abstract
The role of CD2 signaling in cytotoxic T lymphocyte (CTL) development was examined by stimulating mouse T cells with anti-CD3 monoclonal antibody (mAb) in the absence or presence of anti-CD2 mAb or anti-CD48 mAb or both. Induction of nonspecific CTL and interleukin-2 (IL-2) and interferon-gamma (IFN-gamma) synthesis were impaired in the absence of CD2-CD48 interactions. Anti-CD2 mAb also inhibited activation-induced expression of the high-affinity IL-2 receptor (IL-2R). In contrast, IFN-gamma receptor (IFNGR) expression was increased in the presence of anti-CD2 mAb. Reduced cytotoxicity by CTL induced in the absence of CD2-CD48 interactions was associated with a diminished ability of CTL to conjugate with target cells and reduced expression of granzyme B and perforin. Anti-CD2 mAb did not affect expression of Fas ligand and tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) by anti-CD3-activated T cells. Cytotoxic effector function and granzyme B and perforin expression were rescued when exogenous IL-2 and IFN-gamma were added in combination with anti-CD2 mAb to anti-CD3-activated T cells at initiation of culture. We conclude that CD2-CD48 interactions during T cell activation are critical for the synthesis of sufficient IL-2 and IFN-gamma to drive CD8(+) T cells to differentiate into functional cytotoxic effector cells.
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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 | 0.001 | 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".