Lentiviral Vector-Transduced Dendritic Cells Induce Specific T Cell Response in a Nonhuman Primate Model
Bibliographic record
Abstract
Dendritic cells (DCs) are effective in stimulating and controlling the outcome of T cell responses. Human immunodeficiency virus type 1-based lentiviral vectors can achieve sustained transduction of genes/antigens in dividing and nondividing cells, thus representing a candidate vector for stable expression of antigens in DCs. We previously established conditions for transduction of purified cytokine mobilized rhesus CD34(+) cells in vitro, and transplantation of the autologous transduced cells in a nonhuman primate model in vivo. In the present study, we transplanted DCs derived from EGFP-transduced CD34(+) cells into nonmyeloablated rhesus macaques. Transplantation of DCs stably expressing EGFP into autologous animals induces persistent, long-lived (up to 100 weeks) EGFP-specific T cell responses. Of note, no humoral responses against EGFP are detected in the transplanted animals. These studies provide, to our knowledge, the first demonstration that lentiviral transduction of CD34(+) progenitor cells subsequently differentiated to DCs is capable of priming a specific T cell response in a nonhuman primate in vivo. Taken together, our data provide formal in vivo evidence that lentivirus-transduced dendritic cells represent a potential approach in eliciting cellular immune responses in primates.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".