Identification of a novel myosin antigen activating CD8 <sup>+</sup> T cells in C57BL/6 mice
Bibliographic record
Abstract
Summary Heart-specific T cells play important roles in myocardial diseases, including myocarditis, myocardial infarction, and heart failure. However, only few cardiac antigens and their respective specific T cell receptors (TCRs) have been validated so far. Therefore, we sought to identify new cardiac T cell epitopes in C57BL/6 mice and to characterize the specific TCRs. Antigen mapping of myosin heavy chain alpha (MYHCA) led to the identification of a 9-mer epitope (MYHCA 724-732 ) recognized by CD8 + T cells. Single-cell TCR sequencing (scTCR-seq) analysis of MYHCA-stimulated CD8 + T cells enabled the identification of distinct TCRs enriched on specific T cells. Selected TCRs inferred from scTCR-seq data were then expressed on reporter cell lines and functionally validated. Our study expands the toolkit required to study heart-directed immune responses by revealing a new cardiac antigen and specific TCRs. These tools will enable in vivo characterization of myosin-specific CD8 + T cells in murine models of myocardial diseases.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".