T Cell Signalling Induced by Bacterial Superantigens
Bibliographic record
Abstract
Bacterial superantigens (SAgs) constitute a large family of bacterial toxins that share the capacity to induce massive activation of the human immune system. Such a feature is based on the ability of these toxins to activate T cells that express Beta-chains of the T cell antigen receptor (TCR) containing variable regions (V) coded by specific families of VBeta genes. In addition, bacterial SAgs bypass the need for processing by antigen-presenting cells by directly binding to major histocompatibility complex class II molecules on the surface of these cells. Emerging work indicates that bacterial SAgs utilize not only the canonical pathways of TCR-mediated T cell activation but also other pathways. Here, we review the structural information on recognition of bacterial SAgs by T cells, the TCR signalling induced by this recognition event, and the effector functions that this recognition triggers. We analyze experimental evidence suggesting the existence of alternative receptors and coreceptors for bacterial SAgs, and outline future challenges in the research with these toxins.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".