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 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".