Transfer of cell membrane components via trogocytosis occurs in CD4<sup>+</sup>Foxp3<sup>+</sup>CD25<sup>+</sup>regulatory T-cell contact-dependent suppression
Bibliographic record
Abstract
A key component of the immune system is its ability to establish and maintain peripheral tolerance. Naturally occurring CD4+ CD25+ Foxp3+ regulatory T (nTreg) cells represent an important means by which this is accomplished, through their potent ability to suppress the actions of both CD4+ and CD8+ effector (Teff) cells in vitro and in vivo. We hypothesized that direct contact between nTreg and Teff cells is sufficient for nTreg cell-contact suppression. We first show that nTreg cell suppression is independent of APCs and their derived co-stimulatory signals. We then used a two-colour, lipid dye labelling and quantification approach to formally demonstrate that nTreg cells specifically form cell conjugates with responding T (Tresp) cells only under TCR activating conditions. Strikingly, activated CD4+ nTreg cells undergo progressive trogocytosis, a process by which membrane fragments are transferred from one cell subset to another, with Tresp cells more readily than Teff cells. These results are the first to show that nTreg cell cognate interactions with Tresp cells leads to trogocytosis between the cells, and the first to relate the degree of trogocytosis with the level of nTreg-mediated suppression.
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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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".