LANA-specific CD4+ effector T cells accumulate at the site of KSHV infection in humanized mice
Bibliographic record
Abstract
Abstract Kaposi’s sarcoma-associated herpesvirus (KSHV) infection is linked with the development of life-threatening malignancies in elderly and immunocompromised hosts, suggesting tight control of the infection by T cell responses. T cells against KSHV, however, are barely detectable in infected individuals, and the mechanisms underlying immune recognition of KSHV-infected cells remain poorly understood. Here, we present publicly available sequences of T cell receptors (TCRs) targeting the KSHV latency-associated nuclear antigen (LANA/ORF73). By using these TCRs transgenically expressed on T cells as identifiers for KSHV-specific cells, we show that despite their failure to recognize KSHV-infected B cells in vitro, activated effector memory differentiated LANA-specific CD4 + T cells accumulate in vivo at infection sites in the preclinical infection model of humanized mice. This suggests more efficient antigen-presentation in vivo than by KSHV-infected B cells in vitro and highlights the possible contribution of CD4 + T cells to the immunosurveillance of latently infected B 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) | 0.001 | 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) | 0.003 | 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".