The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
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]
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Self-citationSTAR: ultrafast universal RNA-seq aligner
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Spatial reconstruction of single-cell gene expression data
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mRNA-Seq whole-transcriptome analysis of a single cell
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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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Sun, C., Sun, Y., Wu, P., Ding, W., Wang, S., Li, J., Liang, L., Chai, C., Fu, Y., Li, Z., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14220762
Self-citationAdditional file 4 of Single Cell Atlas: a single-cell multi-omics human cell encyclopedia
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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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