Suppression of Human Dendritic Cells by Regulatory T Cells
Bibliographic record
Abstract
Regulatory T cells (Tregs) suppress immune responses via a variety of mechanisms and can be used as a cellular therapy to induce tolerance. The function of Tregs is commonly assessed in vitro using assays that measure suppression of effector T cell proliferation and/or cytokine production. However, Tregs can also suppress the function of antigen presenting cells, creating a need for methodology to routinely measure this aspect of their function. This protocol describes a method to measure human Treg-mediated suppression of CD80 and CD86 expression on mature, monocyte-derived dendritic cells. Representative data show suppression mediated by polyclonal Tregs as well as antigen-specific Tregs generated using chimeric antigen receptor (CAR) technology. This method can be used in parallel to T cell suppression assays to measure the functional activity of human Tregs.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".