Immunization with a Lentiviral Vector Stimulates both CD4 and CD8 T Cell Responses to an Ovalbumin Transgene
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Lentiviral vectors encoding antigens are promising vaccine candidates because they transduce dendritic cells (DC) in vivo and prime CTL responses. Here we examine their stimulation of antigen-specific CD4(+) T cells, critical for protective immunity against tumors or infectious disease. We constructed lentiviral vectors (lentivectors) expressing ovalbumin, which was secreted (OVA), cytoplasmic (OVAcyt), or fused to either invariant chain (Ii-OVA) or transferrin receptor (TfR-OVA) sequences, targeting the MHC class II presentation pathway. Murine DC infected with the various lentivectors could stimulate OT-I (CD8(+), OVA TCR transgenic) T cells and all except OVAcyt could also stimulate OT-II (CD4(+), OVA TCR transgenic) T cells in vitro. Direct injection of the OVA-, Ii-OVA-, or TfR-OVA-expressing vectors into mice resulted in a CD4(+) T cell response, as shown by expansion of adoptively transferred OT-II T cells and upregulation of CD44 on these cells. The Ii-OVA vector was the most potent inducer of IFN-gamma-secreting CD4(+) and CD8(+) T cells and was the only vector to protect mice completely from challenge with OVA-expressing tumor cells. Therefore directly injected lentivectors can stimulate CD4(+) T cells; both CD4(+) and CD8(+) responses can be enhanced by targeting the antigen to the MHC class II pathway.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it