Inducible reprogramming of human T cells into Treg cells by a conditionally active form of FOXP3
Bibliographic record
Abstract
FOXP3 is required for the development of Treg and its expression is often used as a surrogate marker of functional suppression. However, it is now known that activated human T effector cells can also express FOXP3 without acquiring regulatory activity. To more closely examine the requirements for FOXP3 to reprogram human T cells into Treg, we developed a conditionally active form of FOXP3 and show here that full acquisition of Treg phenotype and function is strictly dependent on the amount of active FOXP3 a T cell expresses. In addition, the phenotypic and functional alterations induced by FOXP3 are only fully manifested following prolonged induction of protein activity. Induction of FOXP3 activity does not upregulate EBI3 or p35 mRNA, providing evidence that secretion of IL-35 does not substantially contribute to the suppressive mechanism of human Treg. These data represent the first formal evidence that FOXP3 acts as a quantitative regulator rather than a simple molecular switch for Treg.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".