Regulatory T cells differ from conventional <scp>CD</scp>4<sup>+</sup> T cells in their recirculatory behavior and lymph node transit times
Bibliographic record
Abstract
Abstract Regulatory T cells (Tregs) continuously suppress autoreactive immune responses within tissues to prevent autoimmunity, yet the recirculatory behavior of Tregs between and within tissues enabling the maintenance of peripheral tolerance remains incompletely defined. Here, we quantified homing efficiency to and the dwell time of Tregs within secondary lymphoid organs ( SLO s) and used intravital two‐photon microscopy to measure Treg surveillance behavior of dendritic cells. Tregs homed substantially less efficiently to SLO s compared with conventional CD 4 + T cells (Tconvs), despite similar expression of homing receptors. Tregs remained on average 2–3 times longer within the LN than Tconvs before exiting, and retained Tregs differed from recirculating Tregs in phenotype, motility and interaction duration with dendritic cells. Taken together, these data revealed fundamental differences in Treg versus conventional T cell in vivo recirculation and migration behaviors, identified a Treg population with prolonged LN dwell time, and provided quantitative insight into their spatiotemporal behavior within LN s.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 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; both teacher heads agree on what is shown here.
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".