Evidence map›Paper›PMID 42791404›Full record

ArticleNature methods2026

Spatially resolved chromatin architectures in mammalian brain tissues.

Zhenping Chen, Maoni Guo, Lin Zhang, Hao Yu, Xinxin Wang, Xinrui Yu, Mingyue Chen, Junjie Lv, Zhisong Chen, Changjun Peng and 12 more

Abstract read
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In one paragraph

Article in Nature methods, 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

22 authors.

Zhenping Chen *GMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macao Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.ORCID http://orcid.org/0009-0008-5771-9565
Maoni Guo *GMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macao Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Lin Zhang *GMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macao Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Hao YuKey Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-2687-1501
Xinxin WangGuangzhou National Laboratory, Guangzhou, China.
Xinrui YuDepartment of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, USA.
Mingyue ChenGuangzhou National Laboratory, Guangzhou, China.
Junjie LvGuangzhou National Laboratory, Guangzhou, China.
Zhisong ChenGuangzhou National Laboratory, Guangzhou, China.
Changjun PengGuangzhou National Laboratory, Guangzhou, China.
Qian GongGuangzhou National Laboratory, Guangzhou, China.
Qiao ZhangGuangzhou National Laboratory, Guangzhou, China.
Ru GuoGuangzhou National Laboratory, Guangzhou, China.
Yiping HuangGMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macao Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Lei GaoKey Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-0882-7518
Shan JiangKey Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Junmei WangSchool of Life Science, University of Chinese Academy of Sciences, Beijing, China.
Zhihua ZhangCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0000-0002-7706-9247
Jianliang QianDepartment of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, USA.ORCID http://orcid.org/0000-0003-3058-0096
Jianrong WangDepartment of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, USA.ORCID http://orcid.org/0000-0002-9290-4888
Jiang LiuKey Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China. liujiang@ibp.ac.cn.ORCID http://orcid.org/0000-0002-5687-5047
Xuepeng ChenGMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macao Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China. chen_xuepeng@gzlab.ac.cn.ORCID http://orcid.org/0000-0001-7316-6894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unraveling 3D chromatin architectures is crucial for decoding regulatory programs of development and disease. However, current sequencing-based methods typically profile 3D genome organizations while sacrificing the spatial context of tissues. Here we present spatial high‑throughput chromosome conformation capture (Hi-C), a technology that resolves genome-wide chromatin structures directly within tissue sections. Spatial Hi-C could decipher 3D chromatin structures in mouse embryos and brains with high fidelity and reproducibility. In the cerebellum, granular layer subclusters defined by distinct 3D genomes, aligned with anatomical lobules, link chromatin topology to spatial microdomain functions. Furthermore, spatial Hi-C of the adult cortex could reconstruct single-spot 3D chromatin structures at 10-μm resolution, similar to single-cell data. Finally, we found an increasing radial gradient of the short-versus-long chromatin interaction ratio on coronal sections in developing brains, which could track neuronal maturity. In summary, spatial Hi-C establishes a paradigm to investigate spatially resolved chromatin structures and their regulatory functions within complex tissue microenvironments.

Indexed as

BrainChromatinAnimalsMiceChromatin

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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.