Evidence map›Paper›PMID 41000900›Full record

ArticlebioRxiv : the preprint server for biology2025

Metadomain and metaloop genome interactions in mammalian T cells.

Gabriel Dolsten, Zhong-Mig Wang, Xiao Huang, Susie Song, Michael J Wilson, Xin Yang Bing, Wenfan Ke, Thomas R Cafiero, Amy N Nelson, Sebastian Fernando and 6 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

16 authors.

Gabriel Dolsten
Zhong-Mig Wang
Xiao Huang
Susie Song
Michael J Wilson
Xin Yang Bing
Wenfan Ke
Thomas R Cafiero
Amy N Nelson
Sebastian Fernando
Alexander Ploss
Paul Schedl
Michael S Levine
Aaron D Viny
Alexander Y Rudensky

Funding

Regulatory genomics of T cells in mouse and humanDP2AI171161 · NIAID · PRINCETON UNIVERSITY · PI Yury Pritykin · 2022 to 2026
$2.4M
NIAID NIH HHS DP2 AI171161
6 · The paper itself

Abstract

Recent studies have advanced our understanding of chromosomal organization and its principal role in gene regulation. However, most analyses have focused on short-range interactions (<2 Mb), limiting insight into broader regulatory architecture. In particular, the relationships between topologically associating domains (TADs), sub-TAD loops, long-range cross-TAD interactions, and higher-order chromosomal compartmentalization remain poorly understood. Here, we identify extensive multi-megabase and interchromosomal interactions (metaloops) in T lymphocytes, which organize into larger meta-TAD associations (metadomains). Metaloops bridge distal promoters and regulatory elements of key T cell-specific genes such as Ctla4, Ikzf2, Il2ra, Ets1, Lef1, Runx1, Bach2, Foxo1 and others, and are both shared and cell type-specific across functionally distinct T cell lineages. Reanalysis of published data confirms the reproducibility of these interactions in both mouse and human T cells and their dependence on superenhancers. Genome-wide clustering of metadomains reveals three interchromosomal hubs with distinct epigenomic profiles, including a superenhancer-enriched hub associated with T cell-specific gene activation. By integrating a compendium of new and public T cell epigenomic data, we infer distinct architectural factors associated with short-range loops and long-range metaloops. Altogether, our study reveals new features of T cell-specific 3D genome organization across scales, and our computational framework is broadly applicable to analyses of chromatin architecture across different cell types and experimental systems.

Identifiers

PMID41000900
PMCPMC12458385

What OpenQuestion holds

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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.