An integrated transcription factor framework for Treg identity and diversity
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 ROR?+ 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. Overall design: We isolated CD4 T cells from mouse spleen and LNs, and used CRISPR-Cas9 ribonucleoprotein complexes to engineer Tregs carrying Smarcc1 deletions (and corresponding non-targeting gRNA controls), which were then parked in vivo in Treg-dpeleted hosts (Foxp3-DTR mice) for 1 wk in vivo before isolation for bulk ATAC-seq.