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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".