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Construction of a human cell landscape at single-cell level
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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“By leveraging a recent human pan-tissue scRNA-Seq data (a.k.a. Human Cell Landscape; HCL) [12], we can identify cell-type specific/selective E3 ligases to facilitate the development of tumor-specific/selective PROTACs.”
From Proteolysis targeting chimeras (PROTACs) are emerging therapeutics for hematologic malignancies (2020) · cites this paper as [12]
Citations
Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Self-citationSTAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
SCANPY: large-scale single-cell gene expression data analysis
Wolf, F. A., Angerer, P., & Theis, F. J. (2018) · Genome Biology · doi:10.1186/s13059-017-1382-0 · Cited by 8,881
Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.
Macosko, E. Z., Basu, A., Satija, R., Nemesh, J., Shekhar, K., Goldman, M., Tirosh, I., Bialas, A. R., Kamitaki, N., Martersteck, E. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.002 · Cited by 7,110
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520
The single-cell transcriptional landscape of mammalian organogenesis
Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D. M., Hill, A. J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F. J., et al. (2019) · Nature · doi:10.1038/s41586-019-0969-x · Cited by 4,490
circlize implements and enhances circular visualization in R
Gu, Z., Gu, L., Eils, R., Schlesner, M., & Brors, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu393 · Cited by 4,290
La Manno, G., Soldatov, R., Zeisel, A., Braun, E., Hochgerner, H., Petukhov, V., Lidschreiber, K., Kastriti, M. E., Lönnerberg, P., Furlan, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0414-6 · Cited by 4,118
mRNA-Seq whole-transcriptome analysis of a single cell
Tang, F., Barbacioru, C., Wang, Y., Nordman, E., Lee, C., Xu, N., Wang, X., Bodeau, J., Tuch, B. B., Siddiqui, A., et al. (2009) · Nature Methods · doi:10.1038/nmeth.1315 · Cited by 3,969
Research works printed but not linked: 1
- Cao, J. et al. Comprehensive single-cell transcriptional profiling of a multicellular organism. Science 357, 661–667 (2017). · DOI · Paper page
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Self-citationGuo, Y., Kasai, Y., Tanaka, Y., Ohashi‐Kumagai, Y., Sakamoto, T., Ito, T., & Murakami, Y. (2024) · Cancer Science · doi:10.1111/cas.16166 · Cited by 6
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Meng, X., Wang, L., Du, Y.-C., Cheng, D., & Zeng, T. (2024) · Clinics and Research in Hepatology and Gastroenterology · doi:10.1016/j.clinre.2024.102343 · Cited by 7
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Fang, W., Qu, J., Zhao, W., Cao, X., Liu, J., Han, Q., Chen, D., Lv, W., Xie, Y., & Sun, Y. (2024) · Life Medicine · doi:10.1093/lifemedi/lnae012 · Cited by 8
Single‐cell sequencing: Current applications in various tuberculosis specimen types
Zeng, Y., Ma, Q., Chen, J., Kong, X., Chen, Z., Liu, H., Liu, L., Yan, Q., Wang, X., & Lu, S. (2024) · Cell Proliferation · doi:10.1111/cpr.13698 · Cited by 6
Self-citationLiu, Q., Guo, K., Jiang, L., Yang, H., Ni, Z., & Xiang, N. (2024) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2024.136408 · Cited by 7
Lyu, T., Wu, K., Zhou, Y., Kong, T., Li, L., Wang, K., Fu, P., Wei, P., Chen, M., & Zheng, J. (2024) · Cancer Science · doi:10.1111/cas.16436 · Cited by 7
Self-citationRecent advances in pancreatic α-cell transdifferentiation for diabetes therapy
Li, Y., Zhu, J., Yue, C., Song, S., Tian, L., & Wang, Y. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1551372 · Cited by 10
Tian, Y., Liu, S., Shi, H., Li, J., Wan, X., Sun, Y., Li, H., Cao, N., Feng, Z., Zhang, T., et al. (2025) · Advanced Science · doi:10.1002/advs.202413819 · Cited by 8
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Mercatelli, D., Balboni, N., Giorgio, F. D., Aleo, E., Garone, C., & Giorgi, F. M. (2021) · Methods and Protocols · doi:10.3390/mps4020028 · Cited by 9
Hong, M., Wu, J., Ma, L., Han, X., Lu, T., Wang, Z., Zhao, J., Liu, L., Fu, H., Huang, W., et al. (2021) · Biomarker Research · doi:10.1186/s40364-021-00304-w · Cited by 7
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Li, Y., Zeng, W., Li, T., Guo, Y., Zheng, G., He, X., Bai, L., Ding, G., Li, J., & Liu, X. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.679616 · Cited by 7
Zhang, Y., Wang, M., Zheng, Y., Chen, D.-Y., Wang, W., Wang, J.-B., & Chen, J. (2022) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2022.3188591 · Cited by 5
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Self-citationMuto, Y., Li, H., & Humphreys, B. D. (2022) · Springer eBooks · doi:10.1007/978-3-031-11570-7_5 · Cited by 6
Ye, W., Xu, M., Liu, X., Lin, S., Pei, W., Zhou, P., Liu, H., Wu, P., Yu, Y., & Cao, C. (2023) · MedComm · doi:10.1002/mco2.209 · Cited by 7
Models of Congenital Adrenal Hyperplasia for Gene Therapies Testing
Glazova, O., Bastrich, A., Deviatkin, A. A., Onyanov, N., Kaziakhmedova, S., Shevkova, L., Sakr, N., Petrova, D., Vorontsova, M. V., & Volchkov, P. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065365 · Cited by 7
Hu, L., & Wu, C. (2021) · BMC Medical Genomics · doi:10.1186/s12920-021-00977-0 · Cited by 7
A Single-Cell RNA Expression Map of Human Coronavirus Entry FactorsPreprint
Singh, M., Bansal, V., & Feschotte, C. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3611279 · Cited by 9
Metadata
- 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
- Published
- 2020-03-25
- Volume
- 581
- Issue
- 7808
- Pages
- 303-309
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- 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
- 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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