CoChat
Sign Up
Cited by 232Single-cell and spatial transcriptomicsNeuroscience and Neuropharmacology ResearchGenomics and Chromatin Dynamics

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

Single-cell spatial transcriptome reveals cell-type organization in the macaque cortex

Open access
Chen, Ao, Sun, Yidi, Lei, Ying, Li, Chao, Liao, Sha, Meng, Juan, Bai, Yiqin, Liu, Zhen, Liang, Zhifeng, Zhu, Zhiyong, Yuan, Nini, Yang, Hao, Wu, Zihan, Lin, Feng, Wang, Kexin, Li, Mei, Zhang, Shuzhen, Yang, Meisong, Fei, Tianyi, Zhuang, Zhenkun, Huang, Yiming, Zhang, Yong, Xu, Yuanfang, Cui, Luman, Zhang, Ruiyi, Han, Lei, Sun, Xing, Chen, Bichao, Li, Wenjiao, Huangfu, Baoqian, Ma, Kailong, Ma, Jianyun, Li, Zhao, Lin, Yikun, Wang, He, Zhong, Yanqing, Zhang, Huifang, Yu, Qian, Wang, Yaqian, Liu, Xing, Peng, Jian, Liu, Chuanyu, Chen, Wei, Pan, Wentao, An, Yingjie, Xia, Shihui, Lu, Yanbing, Wang, Mingli, Song, Xinxiang, Liu, Shuai, Wang, Zhifeng, Gong, Chun, Huang, Xin, Yuan, Yue, Zhao, Yun, Chai, Qinwen, Tan, Xing, Liu, Jianfeng, Zheng, Mingyuan, Li, Shengkang, Huang, Yaling, Hong, Yan, Huang, Zirui, Li, Min, Jin, Mengmeng, Li, Yan, Zhang, Hui, Sun, Suhong, Gao, Li, Bai, Yinqi, Cheng, Mengnan, Hu, Guohai, Liu, Shiping, Wang, Bo, Xiang, Bin, Li, Shuting, Li, Huanhuan, Chen, Mengni, Wang, Shiwen, Li, Minglong, Liu, Weibin, Liu, Xin, Zhao, Qian, Lisby, Michael, Wang, Jing, Fang, Jiao, Lin, Yun, Xie, Qing, Liu, Zhen, He, Jie, Xu, Huatai, Huang, Wei, Mulder, Jan, Yang, Huanming, Sun, Yangang, Uhlen, Mathias, Poo, Muming, Wang, Jian, Yao, Jianhua, Wei, Wu, Li, Yuxiang, Shen, Zhiming, Liu, Longqi, Liu, Zhiyong, Xu, Xun, Li, Chengyu·2023·Cell
DOI 10.1016/j.cell.2023.06.009

Published version of a preprint

Open this paper in CoChat — free accountOpen PDF

Abstract

Elucidating the cellular organization of the cerebral cortex is critical for understanding brain structure and function. Using large-scale single-nucleus RNA sequencing and spatial transcriptomic analysis of 143 macaque cortical regions, we obtained a comprehensive atlas of 264 transcriptome-defined cortical cell types and mapped their spatial distribution across the entire cortex. We characterized the cortical layer and region preferences of glutamatergic, GABAergic, and non-neuronal cell types, as well as regional differences in cell-type composition and neighborhood complexity. Notably, we discovered a relationship between the regional distribution of various cell types and the region's hierarchical level in the visual and somatosensory systems. Cross-species comparison of transcriptomic data from human, macaque, and mouse cortices further revealed primate-specific cell types that are enriched in layer 4, with their marker genes expressed in a region-dependent manner. Our data provide a cellular and molecular basis for understanding the evolution, development, aging, and pathogenesis of the primate brain.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.cell.2023.06.009

Cites

122 of 122 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 122 references

Research works printed but not linked: 1

  1. Yuste, 2020, A community-based transcriptomics classification and nomenclature of neocortical cell types, Nat. Neurosci., 23, 1456, 10.1038/s41593-020-0685-8 · DOI · Paper page

Cited by

Sorted by citations

Items 201–232 of 232

Related

See all

Metadata

Authors
Chen, A., Sun, Y., Lei, Y., Li, C., Liao, S., Meng, J., Bai, Y., Liu, Z., Liang, Z., Zhu, Z., Yuan, N., Yang, H., Wu, Z., Lin, F., Wang, K., Li, M., Zhang, S., Yang, M., Fei, T., Zhuang, Z., Huang, Y., Zhang, Y., Xu, Y., Cui, L., Zhang, R., Han, L., Sun, X., Chen, B., Li, W., Huangfu, B., Ma, K., Ma, J., Li, Z., Lin, Y., Wang, H., Zhong, Y., Zhang, H., Yu, Q., Wang, Y., Liu, X., Peng, J., Liu, C., Chen, W., Pan, W., An, Y., Xia, S., Lu, Y., Wang, M., Song, X., Liu, S., Wang, Z., Gong, C., Huang, X., Yuan, Y., Zhao, Y., Chai, Q., Tan, X., Liu, J., Zheng, M., Li, S., Huang, Y., Hong, Y., Huang, Z., Li, M., Jin, M., Li, Y., Zhang, H., Sun, S., Gao, L., Bai, Y., Cheng, M., Hu, G., Liu, S., Wang, B., Xiang, B., Li, S., Li, H., Chen, M., Wang, S., Li, M., Liu, W., Liu, X., Zhao, Q., Lisby, M., Wang, J., Fang, J., Lin, Y., Xie, Q., Liu, Z., He, J., Xu, H., Huang, W., Mulder, J., Yang, H., Sun, Y., Uhlen, M., Poo, M., Wang, J., Yao, J., Wei, W., Li, Y., Shen, Z., Liu, L., Liu, Z., Xu, X., & Li, C.
Affiliations
  • BGI Group (China) (CN)
  • Center for Excellence in Brain Science and Intelligence Technology (CN)
  • Tencent (China) (CN)
  • Shanghai Institute of Nutrition and Health (CN)
  • China National GeneBank (CN)
  • University of Copenhagen (DK)
  • Science for Life Laboratory (SE)
  • Chinese Academy of Sciences (CN)
Corresponding author
  • Sun, Yidi
  • Yao, Jianhua
  • Li, Yuxiang
  • Shen, Zhiming
  • Liu, Longqi
  • Liu, Zhiyong
  • Xu, Xun
  • Li, Chengyu
ORCID
Venue
Cell
Publisher
Elsevier BV
Published
2023-08
Volume
186
Issue
17
Pages
3726-3743.e24
ISSN
0092-8674 (ISSN-L)
DOI
10.1016/j.cell.2023.06.009
OpenAlex
W4384071384
Cited by
232
References
122
Citations by year
2026: 57 · 2025: 81 · 2024: 65 · 2023: 26
FWCI
20.41
Type
journal article
Language
en
Open access
Licence
Locations
  • Cell (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
Funders
  • National Natural Science Foundation of China (2018SHZDZX05, 31827803, 31900466)
  • Chinese Academy of Sciences (153D31KYSB20170059, 2018SHZDZX05, XDB32010100)
  • Shenzhen Fundamental Research Program
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
Keywords
macaque cortex, cortical cell types, single-nucleus RNA sequencing, spatial transcriptomics, cell type atlas, cortical layers, cortical regions, glutamatergic neurons, GABAergic neurons, non-neuronal cells, layer 4, cross-species comparison, primate brain evolution
MeSH terms
Animals, Cerebral Cortex, Humans, Macaca, Mice, Single-Cell Analysis, Transcriptome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review