Cited by 1,087Single-cell and spatial transcriptomicsGenomics and Phylogenetic StudiesGene Regulatory Network Analysis

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Construction of a human cell landscape at single-cell level

Han, Xiaoping, Zhou, Ziming, Fei, Lijiang, Sun, Huiyu, Wang, Renying, Chen, Yao, Chen, Haide, Wang, Jingjing, Tang, Huanna, Ge, Wenhao, Zhou, Yincong, Ye, Fang, Jiang, Mengmeng, Wu, Junqing, Xiao, Yanyu, Jia, Xiaoning, Zhang, Tingyue, Ma, Xiaojie, Zhang, Qi, Bai, Xueli, Lai, Shujing, Yu, Chengxuan, Zhu, Lijun, Lin, Rui, Gao, Yuchi, Wang, Min, Wu, Yiqing, Zhang, Jianming, Zhan, Renya, Zhu, Saiyong, Hu, Hailan, Wang, Changchun, Chen, Ming, Huang, He, Liang, Tingbo, Chen, Jianghua, Wang, Weilin, Zhang, Dan, Guo, Guoji·2020·Nature

DOI 10.1038/s41586-020-2157-4

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Abstract

Single-cell analysis is a valuable tool for dissecting cellular heterogeneity in complex systems 1. However, a comprehensive single-cell atlas has not been achieved for humans. Here we use single-cell mRNA sequencing to determine the cell-type composition of all major human organs and construct a scheme for the human cell landscape (HCL). We have uncovered a single-cell hierarchy for many tissues that have not been well characterized. We established a 'single-cell HCL analysis' pipeline that helps to define human cell identity. Finally, we performed a single-cell comparative analysis of landscapes from human and mouse to identify conserved genetic networks. We found that stem and progenitor cells exhibit strong transcriptomic stochasticity, whereas differentiated cells are more distinct. Our results provide a useful resource for the study of human biology.

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Authors: Han, X., Zhou, Z., Fei, L., Sun, H., Wang, R., Chen, Y., Chen, H., Wang, J., Tang, H., Ge, W., Zhou, Y., Ye, F., Jiang, M., Wu, J., Xiao, Y., Jia, X., Zhang, T., Ma, X., Zhang, Q., Bai, X., Lai, S., Yu, C., Zhu, L., Lin, R., Gao, Y., Wang, M., Wu, Y., Zhang, J., Zhan, R., Zhu, S., Hu, H., Wang, C., Chen, M., Huang, H., Liang, T., Chen, J., Wang, W., Zhang, D., & Guo, G.
Affiliations: First Affiliated Hospital Zhejiang University (CN)
Zhejiang University (CN)
Women's Hospital, School of Medicine, Zhejiang University (CN)
Second Affiliated Hospital of Zhejiang University (CN)
Annoroad Gene Technology (China) (CN)
Chinese Academy of Sciences (CN)
Corresponding author: Han, Xiaoping
Guo, Guoji
ORCID: Han, Xiaoping
Fei, Lijiang
Sun, Huiyu
Wang, Renying
Chen, Yao
Chen, Haide
Wang, Jingjing
Zhou, Yincong
Ye, Fang
Jiang, Mengmeng
Wu, Junqing
Xiao, Yanyu
Zhang, Tingyue
Ma, Xiaojie
Zhang, Qi
Bai, Xueli
Lai, Shujing
Yu, Chengxuan
Zhu, Lijun
Lin, Rui
Gao, Yuchi
Wang, Min
Wu, Yiqing
Zhang, Jianming
Zhan, Renya
Zhu, Saiyong
Hu, Hailan
Wang, Changchun
Chen, Ming
Huang, He
Liang, Tingbo
Chen, Jianghua
Wang, Weilin
Zhang, Dan
Guo, Guoji
Venue: Nature
Publisher: Springer Science and Business Media LLC
Published: 2020-03-25
Volume: 581
Issue: 7808
Pages: 303-309
ISSN: 0028-0836 (ISSN-L)
1476-4687
DOI: 10.1038/s41586-020-2157-4
OpenAlex: W3013151148
Cited by: 1,087
References: 72
Citations by year: 2026: 91 · 2025: 163 · 2024: 159 · 2023: 186 · 2022: 203 · 2021: 198 · 2020: 86
FWCI: 56.76
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Nature (publishedVersion)
PubMed (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords: single-cell atlas, human cell types, cellular heterogeneity, human organs, fetal development, stem/progenitor cells, cell identity
MeSH terms: Adult, Animals, Cell Differentiation, Cell Line, Cell Separation, Cells, China, Ethnicity, Fetus, Hematopoietic Stem Cells, Humans, Immunity, Islets of Langerhans, Organ Specificity, RNA, Messenger, Stochastic Processes, Databases, Factual, Sequence Analysis, RNA, Asian People, Mice, Induced Pluripotent Stem Cells, Embryoid Bodies, Single-Cell Analysis

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