Human in vitro induced T regulatory cells and memory T cells share common demethylation of specific FOXP3 promoter region
Bibliographic record
Abstract
BACKGROUND: The FOXP3 gene is the master regulator for T regulatory cells and is under tight DNA methylation control at the Treg specific demethylated region (TSDR) in its first intron. This said, methylation of its promoter region, the significance of which is unknown, has also been associated with various immune-related disease states such as asthma, food allergy, auto-immunity and cancer. Here, we used induced T regulatory cells (iTreg) as a target cell population to identify candidate hypomethylated CpG sites in the FOXP3 gene promoter to design a DNA methylation quantitative assay for this region. FINDINGS: Three CpG sites at the promoter region showed clear demethylation pattern associated with high FOXP3 expression after activation in presence of TGFβ and were selected as primary targets to design methylation-dependent RT-PCR primers and probes. We then examined the methylation of this 'inducible-promoter-demethylated-region' (IPDR) in various FOXP3+ T cell subsets. Both naïve and memory thymic-derived Treg cells were found to be fully demethylated at both the IPDR and TSDR. Interestingly, in addition to iTregs, both CD25- and CD25(lo) conventional memory CD4+CD45RA- T cells displayed a high fraction of IPDR demethylated cells in absence of TSDR demethylation. CONCLUSION: This implies that the fraction of memory T cells should be taken in account when interpreting FOXP3 promoter methylation results from clinical studies. This approach, which is available for testing in clinical samples could have diagnostic and prognostic value in patients with immune or auto-inflammatory diseases.
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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) | 0.000 | 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".