Superiority of Bone Marrow-Derived Dendritic Cells Over Monocyte-Derived Ones for the Expansion of Regulatory T Cells in the Macaque
Bibliographic record
Abstract
Regulatory T cells (Treg) have been identified as playing a pivotal role in the control of tolerance and in the suppression of pathologic immune responses in autoimmune diseases, transplantation, and graft-versus-host disease. Treg expanded ex vivo by dendritic cells could be potential reagents to promote antigen-specific tolerance in vivo. However, in vivo studies have been carried out mostly in rodents and will need validation in primates before clinical application. We characterized macaque dendritic cell derived either from bone marrow with and without prior CD34+ cell selection (BMDC), or from CD14+ peripheral blood mononuclear cells (Mo-DC). We demonstrate that with a semi-mature phenotype, BMDC are superior to Mo-DC in their capacity to expand freshly isolated allogeneic macaque CD4+ CD25+ CD127- Foxp3+ Treg in vitro in the presence of interleukin-2. Moreover, the expanded Treg maintain their phenotype and suppressive activity. These data provide a step toward the use of macaque dendritic cell to expand Treg for future preclinical testing.
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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 | 0.000 | 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) | 0.001 | 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".