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An integrated transcription factor framework for Treg identity and diversity

GSE298730 Mus musculus Genome binding/occupancy profiling by high throughput sequencing 5 samples Submitted 2025/06/02 Platform GPL30172
Summary
Vertebrate cell identity depends on the combined activity of scores of transcription factors (TF). While TFs have often been studied in isolation, a systematic perspective on their integration has been missing. Focusing on FoxP3+ regulatory T cells (Tregs), key guardians of immune tolerance, we combined single-cell chromatin accessibility, machine learning, and high-density genetic variation, to resolve a validated framework of diverse Treg chromatin programs, each shaped by multi-TF inputs. This framework identified previously unrecognized Treg controllers (Smarcc1) and illuminated the mechanism of action of FoxP3, which amplified a pre-existing Treg identity, diversely activating or repressing distinct programs, dependent on different regulatory partners. Treg subpopulations in the colon relied variably on FoxP3, Helios+ Tregs being completely dependent, but RORγ+ Tregs largely independent. These differences were rooted in intrinsic biases decoded by the integrated framework. Moving beyond master regulators, this work unravels how overlapping TF activities coalesce into Treg identity and diversity.
Published in
An integrated transcription factor framework for Treg identity and diversity
Chowdhary K, Léon J, Mathis D et al. · Proceedings of the National Academy of Sciences of the United States of America 2024 · PMID 39196621 · doi:10.1073/pnas.2411301121
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Also filed as BioProject PRJNA1271020 and SRA study SRP589433. Searching any of these in the dataset finder brings you back here.

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