Evidence map›Paper›PMID 41261161›Full record

ArticleNature communications2025

Molecularly defined cellular atlas of the entire mouse brain with isotropic single-cell resolution.

Mengting Zhao, Jiandong Zhou, Tao Jiang, Miao Ren, Chuhao Dou, Lingyi Cai, Shengda Bao, Xueyan Jia, Zhaoyang Meng, Feifang Tang and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Mengting Zhao *State Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China.ORCID http://orcid.org/0000-0003-2037-9129
Jiandong Zhou *Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China.ORCID http://orcid.org/0009-0004-8540-2400
Tao Jiang *HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.
Miao RenState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China.
Chuhao DouBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China.
Lingyi CaiBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China.
Shengda BaoBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China.
Xueyan JiaHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.ORCID http://orcid.org/0000-0002-1221-6357
Zhaoyang MengBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China.
Feifang TangBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China.
Zhao FengState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China.
Jing YuanHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.ORCID http://orcid.org/0000-0001-9050-4496
Xiaoquan YangState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China.
Hui GongHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China.ORCID http://orcid.org/0000-0001-5519-6248
Qingming LuoState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China. qluo@hainanu.edu.cn.ORCID http://orcid.org/0000-0002-6725-9311
Xiangning LiState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China. lixiangning@hainanu.edu.cn.ORCID http://orcid.org/0000-0002-3747-2824
Anan LiState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China. aali@brainsmatics.org.ORCID http://orcid.org/0000-0002-5877-4813

Funding

National Natural Science Foundation of China (National Science Foundation of China) T2122015
6 · The paper itself

Abstract

The mammalian brain comprises a vast number of neurons, exhibiting remarkable diversity in both molecular composition and spatial distribution. However, a comprehensive understanding of how these neurons are organized within the brain remains elusive, largely due to the lack of systematic studies providing three-dimensional coverage of molecularly defined neurons across the entire brain. In this study, we utilized transgenic mice and fMOST imaging to map the spatial distribution of glutamatergic, GABAergic, and modulatory neurons at the single-cell level throughout the whole brain. Our approach enabled precise registration of individual cells to the standardized brain coordinate framework, facilitating the construction of whole-brain cell atlases for commonly used Cre recombinase driver lines. Analysis revealed diverse cellular composition patterns across the brain, aligning with the boundaries of known brain regions in some areas while uncovering previously uncharacterized subdivisions in others. Notably, cortical and subcortical nuclei as small as approximately one millimeter in size exhibited intricate three-dimensional organization, suggesting the presence of finer functional zones.

Indexed as

BrainNeuronsSingle-Cell AnalysisAnimalsBrain MappingGABAergic NeuronsImaging, Three-DimensionalIntegrasesMaleMiceMice, TransgenicIntegrases

Identifiers

PMID41261161
PMCPMC12630788

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.