CD28 Controls Differentiation of Regulatory T Cells from Naive CD4 T Cells
Bibliographic record
Abstract
CD28 is required for the development of regulatory T cells (Tregs; CD4(+)CD25(+)Foxp3(+)) in the thymus and also contributes to their survival and homeostasis in the periphery. We studied whether and how CD28 and ICOS control the differentiation of Tregs from naive T cells. By using wild-type, CD28-, ICOS-, or CD28/ICOS-double knockout mice on C57BL/6 background as T cell sources, we found that CD28 is essential, whereas ICOS is dispensable, for the development and homeostasis of Tregs. Furthermore, the differentiation of Tregs from naive CD4(+)CD25(-) T cells in vivo also depends on CD28. The requirement of CD28 for Treg differentiation was mediated by IL-2, because neutralization of IL-2 with its specific mAb-blocked Treg differentiation from wild-type CD4(+)CD25(-) T cells and addition of IL-2 restored Treg differentiation from CD28(-/-) T cells. Other common gamma-chain cytokines, IL-4, IL-7, or IL-15, do not share such a role with IL-2. Although CD28 is required for the differentiation of Tregs from naive T cells, already generated Tregs do not depend on CD28 to exert their suppressive function. Our study reveals a new aspect of CD28 function in regulating T cell response.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".