Activation of thymic T cells by MHC alloantigen requires syngeneic, activated CD4+ T cells and B cells as APC
Bibliographic record
Abstract
We examine here the in vitro requirements to activate immunocompetent T cells, present among thymocytes, to give rise to CTL, CD4+ T cells producing IL-2 and CD8+ T cells producing IFN-gamma. These thymocytes are naive in not having received antigen-dependent signals characteristic of the periphery. Their activation, upon stimulation with allogeneic spleen cells depleted of T cells, referred to here as allogeneic antigen-presenting cells (APCs), to produce allo-MHC-specific effector T cells, requires activated (radiation resistant) CD4+ T cells, syngeneic with the responding thymocytes. We refer here to these T cells as 'help'. Furthermore, optimal T cell activation requires an Ig+ B220+ cell in the allogeneic APC population, most probably a B cell. The allogeneic APCs cannot be replaced by conventional bone marrow (BM)-derived dendritic cells (DCs) activated by CD40 ligation or exposure to LPS. The requirements for both help and allogeneic B cells in the activation of thymocytes contrast with the requirements to generate substantial responses from splenic T cell populations. Activated, BM-derived DCs stimulate substantial splenic responses without help. These different requirements for activation could reflect the fact that thymocytes have not received an exit-thymus signal and/or that splenic T cells are heterogeneous, containing naive, memory and partially-activated T 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) | 0.000 | 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 | 0.000 |
| 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".