Evidence map›Paper›PMID 41959153›Full record

ArticlebioRxiv : the preprint server for biology2026

Enhancer hubs govern chromatin topology and Th17 cell identity.

Keith Siklenka, Chuangchuang Zhang, Liqing Li, Morgan Parker, Naren Mehta, Alejandro Barrera, Revathy Venukuttan, Gregory E Crawford, Charles A Gersbach, Maria Ciofani and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Keith SiklenkaDepartment of Biostatistics & Bioinformatics, Duke University, Durham NC.
Chuangchuang ZhangDepartment of Biostatistics & Bioinformatics, Duke University, Durham NC.
Liqing LiDepartment of Biostatistics & Bioinformatics, Duke University, Durham NC.
Morgan ParkerDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC.
Naren MehtaDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC.
Alejandro BarreraDepartment of Biostatistics & Bioinformatics, Duke University, Durham NC.
Revathy VenukuttanDepartment of Biostatistics & Bioinformatics, Duke University, Durham NC.
Gregory E CrawfordDepartment of Pediatrics, Duke University Medical Center, Durham NC.
Charles A GersbachDepartment of Biomedical Engineering, Duke University, Durham NC.
Maria CiofaniDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC.ORCID 0000-0001-6472-5260
Timothy E ReddyDepartment of Biostatistics & Bioinformatics, Duke University, Durham NC.

Funding

Regulatory Mechanisms of CD4+ T Cell DifferentiationUM1HG009428 · NHGRI · DUKE UNIVERSITY · PI CIOFANI, MARIA, CRAWFORD, GREGORY E · 2017 to 2021
$4.6M
Regulatory mechanisms governing Th17 cell effector identity and plasticityR01AI194223 · NIAID · DUKE UNIVERSITY · PI Maria Ciofani · 2025 to 2026
$1.2M
Cis-regulatory mechanisms governing RORgt expression in type 3 lymphocytesF31AI181082 · NIAID · DUKE UNIVERSITY · PI Naren U Mehta · 2024 to 2026
$149k
Regulation of the type 1 program during ILC3 plasticityF31AI152457 · NIAID · DUKE UNIVERSITY · PI PARKER, MORGAN ELIZABETH · 2020 to 2021
$76k
NHGRI NIH HHS UM1 HG009428NIAID NIH HHS F31 AI152457NIAID NIH HHS F31 AI181082NIAID NIH HHS R01 AI194223
6 · The paper itself

Abstract

A wealth of noncoding regulatory elements has been described across mammalian cell types, yet determining their functional role remains a challenge. Regulatory control of gene expression is critical during active processes such as the adaptive immune response. Upon antigen presentation, a naive CD4+ T cell undergoes major transcriptional and structural reorganization necessary for establishment of subset identity and immune function. In this study, we systematically measure the regulatory potential of candidate regulatory elements associated with open chromatin across five mouse CD4+ T cell subsets. Using ATAC-STARR-seq, we found that approximately one quarter of open chromatin regions demonstrate regulatory activity. Most exhibit shared functional potential across subsets, though we identify enhancers with activity that is restricted to specific cellular contexts. To distinguish regulatory potential from endogenous function, we performed CRISPR-based epigenome editing screens at noncoding regions of Th17 cells and identified a set of core elements essential for subset polarization. Integrating Region Capture Micro-C, we resolved precise 3D chromatin topologies that explain functional regulatory networks via physical contacts. We characterize examples of active regulatory hubs formed through multiple CTCF-independent interactions organized in a hierarchical architecture. Furthermore, we discover a critical

Identifiers

PMID41959153
PMCPMC13060143

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.