Evidence map›Paper›PMID 40301621›Full record

ArticleNature methods2025

Tri-omic single-cell mapping of the 3D epigenome and transcriptome in whole mouse brains throughout the lifespan.

Haoxi Chai, Xingyu Huang, Guangzhou Xiong, Jiaxiang Huang, Katarzyna Karolina Pels, Lingyun Meng, Jin Han, Dongmei Tang, Guanjing Pan, Liang Deng and 7 more

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Decoding the regulatory genome: single-cell four-omics integration.Signal transduction and targeted therapy · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Enhancer Dynamics for Gene Regulation in the Cardiovascular System.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
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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

17 authors.

Haoxi Chai *Life Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Xingyu Huang *Life Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Guangzhou XiongLife Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Jiaxiang HuangLife Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Katarzyna Karolina PelsLife Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Lingyun MengLife Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Jin HanLife Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Dongmei TangLife Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Guanjing PanLife Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Liang DengLife Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Qin XiaoLife Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Xiaotao WangObstetrics and Gynecology Hospital, Institute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-3531-2157
Meng ZhangDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-1800-0928
Krzysztof BaneckiLaboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.ORCID http://orcid.org/0000-0001-9573-0804
Dariusz PlewczynskiLaboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.ORCID http://orcid.org/0000-0002-3840-7610
Chia-Lin WeiDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-6820-0461
Yijun RuanLife Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, China. yjruan@zju.edu.cn.ORCID http://orcid.org/0009-0008-5273-5195

Funding

Single Cell and Single Molecule Technologies for Multiplex Chromatin Interaction AnalysisR01HG011253 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEI, CHIA-LIN · 2020 to 2023
$3.3M
Development of Single Molecule Chromatin Interaction Assays (smChIA) in Single NucleiR01GM127531 · NIGMS · JACKSON LABORATORY · PI WEI, CHIA-LIN · 2019 to 2022
$2.3M
National Natural Science Foundation of China (National Science Foundation of China) 32250710678National Natural Science Foundation of China (National Science Foundation of China) 32400426NHGRI NIH HHS R01 HG011253NIGMS NIH HHS R01 GM127531
6 · The paper itself

Abstract

Exploring the genomic basis of transcriptional programs has been a long-standing research focus. Here we report a single-cell method, ChAIR, to map chromatin accessibility, chromatin interactions and RNA expression simultaneously. After validating in cultured cells, we applied ChAIR to whole mouse brains and delineated the concerted dynamics of epigenome, three-dimensional (3D) genome and transcriptome during maturation and aging. In particular, gene-centric chromatin interactions and open chromatin states provided 3D epigenomic mechanism underlying cell-type-specific transcription and revealed spatially resolved specificity. Importantly, the composition of short-range and ultralong chromatin contacts in individual cells is remarkably correlated with transcriptional activity, open chromatin state and genome folding density. This genomic property, along with associated cellular properties, differs in neurons and non-neuronal cells across different anatomic regions throughout the lifespan, implying divergent nuclear mechano-genomic mechanisms at play in brain cells. Our results demonstrate ChAIR's robustness in revealing single-cell 3D epigenomic states of cell-type-specific transcription in complex tissues.

Indexed as

BrainEpigenomeEpigenomicsSingle-Cell AnalysisTranscriptomeAgingAnimalsChromatinMiceMice, Inbred C57BLNeuronsChromatin

Identifiers

PMID40301621
PMCPMC12955729

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.