Interleukin-12 can replace CD28-dependent T-cell costimulation during nonspecific cytotoxic T lymphocyte induction by anti-CD3 antibody
Bibliographic record
Abstract
Cytotoxic T lymphocyte (CTL) development is regulated closely by an intricate series of signals provided by the T-cell receptor/CD3 complex, cytokines, and costimulatory ligand/receptor systems. In this study, we have explored the role of interleukin (IL)-12 and CD28 in mouse CTL development. Activation of T cells with anti-CD3 monoclonal antibody (mAb) in the presence of anti-CD86 mAb, which prevents CD28-CD86 interaction, led to decreased production of type 1 (IL-2, interferon-gamma) and type 2 (IL-4, IL-6, IL-10) cytokines, as well as diminished expression of granzyme B (Gzm B) and reduced cytotoxic effector function. Cytolytic activity in T-cell cultures that were activated in the presence of anti-CD86-blocking mAb alone or in combination with anti-CD80 mAb could be restored by the addition of exogenous IL-12 at initiation of culture. The ability of IL-12 to substitute for CD28-costimulatory signaling during CTL development was found to be dependent on the presence of IL-2 rather than interferon-gamma. IL-2 is required for IL-12Rbeta2 expression by T cells activated in the presence of anti-CD86 mAb. Moreover, IL-12Rbeta2 expression by T cells activated in the presence of anti-CD86 mAb is enhanced by IL-12. We, therefore, conclude that the ability of IL-12 to substitute for CD28-costimulatory signaling during CTL development is a result of the interaction of IL-12 with IL-12Rbeta2 induced by low levels of IL-2 synthesized by T cells activated in a CD28-independent manner.
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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".