Regulatory T cells sense effector T‐cell activation through synchronized JunB expression
Bibliographic record
Abstract
To maintain immune tolerance, effector T-cell (Teff) responses must be checked by the regulatory T cells (Tregs) in time. It remains incompletely understood how Tregs sense real-time Teff activation. Here, we report that the AP-1 transcription factor JunB, which is induced in Teffs upon T-cell receptor (TCR) activation, is also increased in Tregs by TCR stimuli. Treg-specific deletion of Junb impairs Treg identity, causes uncontrolled inflammatory cytokine production by Teffs and leads to the T-box transcription factor T-bet-dependent spontaneous inflammation. Furthermore, JunB deficiency in Tregs unleashes antitumor Teff responses in a mouse model of melanoma. We conclude that JunB alarms Tregs of the emerging Teff activation and synchronizes immune regulation with the immune reaction in autoimmunity and cancer.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.010 |
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".