Evidence map›Paper›PMID 41839854›Full record

ArticleNature communications2026

Single-cell spatial map of cis-regulatory elements for disease-related genes in the macaque cortex.

Juan Meng, Cheng Chen, Zhiyong Zhu, Yongkang Sun, Yiming Huang, Kaijie Hu, Jiqiang Fu, Luyan Wu, Ling Li, Yiqin Bai and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

22 authors.

Juan Meng *Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0001-8495-1388
Cheng Chen *University of Chinese Academy of Sciences, Beijing, China.
Zhiyong Zhu *State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Hangzhou, China.
Yongkang Sun *Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Yiming Huang *Lingang Laboratory, Shanghai, China.
Kaijie Hu *Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Jiqiang FuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Luyan WuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Ling LiInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Yiqin BaiInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0001-6874-4194
Tianyi FeiSchool of Life Sciences and Technology, ShanghaiTech University, Shanghai, China.
Zhen LiuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-8619-8307
Chao LiInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Zhiming ShenInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0003-4560-7650
Longqi LiuState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Hangzhou, China.ORCID http://orcid.org/0000-0002-5828-5542
Chengyu LiLingang Laboratory, Shanghai, China.ORCID http://orcid.org/0000-0001-6829-0209
Tao SongInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0009-0799-489X
Cirong LiuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-7986-4615
Muming PooInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China.
Shiping LiuState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Hangzhou, China. liushiping@genomics.cn.ORCID http://orcid.org/0000-0003-0019-619X
Ying LeiState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Hangzhou, China. leiying1@genomics.cn.ORCID http://orcid.org/0000-0002-4349-3074
Yidi SunInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Shanghai, China. ydsun@ion.ac.cn.ORCID http://orcid.org/0000-0002-4191-2917

Funding

National Natural Science Foundation of China (National Science Foundation of China) No. T2422026
6 · The paper itself

Abstract

Single-cell spatial transcriptomes have demonstrated molecular and cellular diversity in the brain, but gene regulatory mechanisms underlying transcriptomic profiles and disease pathogenesis remain largely unknown in primates. Here we performed single-nucleus Assay for Transposase-Accessible Chromatin followed by sequencing (snATAC-seq) for ~1.6 million cells from 142 cortical regions of two male cynomolgus monkeys (Macaca fascicularis), and identified distinct chromatin accessibility profiles of cis-regulatory elements (CREs) for various cell types. By integrative analysis with large-scale spatial transcriptome data, we found that these CREs showed laminar and regional preferences, with their regional accessibility exhibiting striking dependence on the region's hierarchical level. Cross-species comparison of snATAC-seq data revealed human/macaque-enriched layer-4 glutamatergic neurons and LAMP5/LHX6-expressing GABAergic neurons as well as human/macaque-biased CREs for genes related to neurodevelopment and psychiatric diseases. Importantly, risk single-nucleotide polymorphisms for many brain disorders strongly associated with human/macaque-biased CREs in glutamatergic neuronal types and those for Alzheimer's disease strongly associated with CREs exclusively in microglia. Our results provided the basis for understanding the spatial gene regulatory mechanisms underlying cellular diversity and disease pathogenesis in the primate cortex.

Indexed as

Cerebral CortexRegulatory Sequences, Nucleic AcidSingle-Cell AnalysisAnimalsChromatinGABAergic NeuronsGene Expression RegulationHumansMacaca fascicularisMaleNeuronsPolymorphism, Single NucleotideSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsTranscriptomeChromatin

Identifiers

PMID41839854
PMCPMC13139587

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.