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 HCL data, we can identify cell-type specific/selective E3 ligases to facilitate the development of tumor-specific/selective PROTACs.
“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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Characterization of the Zebrafish Cell Landscape at Single-Cell Resolution
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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
- 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
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.
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