Study / S1L0F38T52026-04-04

Multi-enhancer regulatory hubs control Th17 cell identity

Keith Siklenka, Chuangchuang Zhang, Liqing Li, Morgan Parker, Naren Mehta et al.

About this study

Between one and two million noncoding regulatory elements have been described across mammalian genomes, but determining their functional role remains a challenge. To address this gap, we measure the regulatory potential of open chromatin regions (OCRs) in five closely related mouse CD4+ T cell subsets with ATAC-STARR-seq, then map endogenous enhancer function and three-dimensional contacts in Th17 cells with pooled CRISPR-based noncoding screens and high-resolution Micro-C. Of all CD4+ T cell OCRs, approximately 25% demonstrate largely subset-shared regulatory activity, though we identify subset-restricted active elements distinguishable by their sequence features. In Th17 cells, we reveal a set of core regulatory OCRs essential for subset polarization at the Batf, Rorc(t) and Il17a/f loci, and confirm their requirement for cell identity in vivo. At these three loci, we resolve nested yet selective enhancer-to-enhancer and enhancer-to-promoter physical interactions that converge into multi-enhancer hubs. Importantly, these hubs contain many of the strongest functional elements. Perturbation of a single enhancer within the Batf locus selectively disrupts hub contacts and Batf expression in Th17 cells, recapitulating the genome-wide transcriptional and chromatin accessibility signatures of a germline knockout. Together, this work assigns regulatory activity to accessible chromatin across CD4+ T cell subsets and couples the function of a set of essential elements to selective three-dimensional contacts in Th17 cells.

Full author list & citation

Keith Siklenka, Chuangchuang Zhang, Liqing Li, Morgan Parker, Naren Mehta, Alejandro Barrera, Revathy Venukuttan, Gregory E Crawford, Charles A Gersbach, Maria Ciofani, Timothy E Reddy. Multi-enhancer regulatory hubs control Th17 cell identity. 2026-04-04. https://doi.org/10.64898/2026.04.02.715458

Experiments 5

E1PYAF411

ATAC-STARR-seq activity in mouse Th2 CD4+ T cells

A common pooled episomal ATAC-STARR-seq library made from mouse CD4+ T-cell open-chromatin fragments was nucleofected into in vitro polarized Th2 cells. The table reports Th2 RNA-output versus pooled input activity statistics for the 135,897 tested OCRs.

ATAC-STARR-seqMousemm10
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E5AII8MMF

ATAC-STARR-seq activity in mouse induced Treg cells

A common pooled episomal ATAC-STARR-seq library made from mouse CD4+ T-cell open-chromatin fragments was nucleofected into in vitro induced regulatory T cells. The table reports Treg RNA-output versus pooled input activity statistics for the 135,897 tested OCRs.

ATAC-STARR-seqMousemm10
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E6VD2RSO3

ATAC-STARR-seq activity in mouse Th0 CD4+ T cells

A common pooled episomal ATAC-STARR-seq library made from mouse CD4+ T-cell open-chromatin fragments was nucleofected into activated, unpolarized Th0 cells. The table reports Th0 RNA-output versus pooled input activity statistics for the 135,897 tested OCRs.

ATAC-STARR-seqMousemm10
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E7GJOANSU

ATAC-STARR-seq activity in mouse Th1 CD4+ T cells

A common pooled episomal ATAC-STARR-seq library made from mouse CD4+ T-cell open-chromatin fragments was nucleofected into in vitro polarized Th1 cells. The table reports Th1 RNA-output versus pooled input activity statistics for the 135,897 tested OCRs.

ATAC-STARR-seqMousemm10
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E86XHZDG9

ATAC-STARR-seq activity in mouse Th17 CD4+ T cells

A common pooled episomal ATAC-STARR-seq library made from mouse CD4+ T-cell open-chromatin fragments was nucleofected into in vitro polarized Th17 cells. The table reports Th17 RNA-output versus pooled input activity statistics for the 135,897 tested OCRs.

ATAC-STARR-seqMousemm10
Explore data

Raw source data 3 files

Original supplemental and deposited inputs retained for this study. Download files individually or together as a ZIP; nested folders are preserved. Source reuse terms apply, and sequencing reads may be omitted.

Download all 3 files (ZIP)media-1.tsvmedia-2.tsvsource_notes.txt

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