Tetramer identification of functional mouse mucosal associated invariant T cells (INC6P.352)
Bibliographic record
Abstract
Abstract Mucosal associated invariant T (MAIT) cells have a semi-invariant TCR Vα chain, and their development is dependent upon the commensal flora and the expression of MR1. MAIT cells are activated in vitro in an MR1-restricted manner by cells infected with diverse strains of bacteria suggesting a widely shared antigen. Such an antigen was recently defined by the observation that human MR1 binds bacterial riboflavin metabolites (ribityllumazines, RL antigens) that are capable of activating MAIT cells. Recently MR1/RL tetramers were constructed allowing us to compare MR1-dependency and function of mouse MAIT cell subsets in invariant TCR Vα19-Jα33 (Vα19i) transgenic (Tg) mice. Although significant numbers of tetramer+ cells were detected in both MR1+/+ and MR1-/- Vα19i Tg mice, only tetramer+ cells from MR1+/+ and not MR1-/- Vα19i Tg mice had predominant expression of CD69, NK1.1 and Vβ6/8 and displayed robust in vitro responses to IL-12+IL-18 or RL Ag. In addition, tetramer+ MAIT cells expressing CD4, CD8 or neither developing in MR1+/+ Vα19i Tg mice had disparate cytokine profiles in response to RL Ag. Most notably, after mycobacterial infection all MAIT cell subsets decreased in the blood regardless of whether they express NK1.1 and/or Vβ6/8; however, only the NK1.1+Vβ6/8+ subset predominated in the lung airways of infected MR1+/+ Vα19i Tg mice. These findings present evidence for the functional diversity of MAIT cell responses to innate cytokines, RL Ag and bacterial infection.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".