Quantification of Repertoire Diversity of Influenza-Specific Epitopes with Predominant Public or Private TCR Usage
Bibliographic record
Abstract
The H-2Db-restricted CD8 T cell immune response to influenza A is directed at two well-described epitopes, nucleoprotein 366 (NP366) and acid polymerase 224 (PA224). The responses to the two epitopes are very different. The epitope NP366-specific response is dominated by TCR clonotypes that are public (shared by most mice), whereas the epitope PA224-specific response is private (unique within each infected animal). In addition to being public, the NP366-specific response is dominated by a few clonotypes, when T cell clonotypes expressing the Vbeta8.3 element are analyzed. Herein, we show that this response is similarly public when the NP366+Vbeta4+ CD8 T cell response is analyzed. Furthermore, to determine whether these features resulted in differences in total TCR diversity in the NP366+ and PA224+ responses, we quantified the number of different CD8 T clonotypes responding to each epitope. We calculated that 50-550 clonotypes recognized each epitope in individual mice. Thus, although the character of the response to the two epitopes appeared to be different (private and diverse vs public and dominated by a few clonotypes), similar numbers of precursor cells responded to both epitopes and this number was of similar magnitude to that previously reported for other viral CD8 T cell epitopes. Therefore, even in CD8 T cell responses that appear to be oligoclonotypic, the total response is highly diverse.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".