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. 2020 May;581(7808):303-309.
doi: 10.1038/s41586-020-2157-4. Epub 2020 Mar 25.

Construction of a human cell landscape at single-cell level

Xiaoping Han #  1   2 , Ziming Zhou #  3 , Lijiang Fei #  3 , Huiyu Sun #  3 , Renying Wang #  3 , Yao Chen #  4 , Haide Chen #  3   5 , Jingjing Wang #  3   5 , Huanna Tang  6 , Wenhao Ge  7 , Yincong Zhou  8 , Fang Ye  3 , Mengmeng Jiang  3 , Junqing Wu  3 , Yanyu Xiao  3 , Xiaoning Jia  9 , Tingyue Zhang  3 , Xiaojie Ma  10 , Qi Zhang  11 , Xueli Bai  11 , Shujing Lai  3 , Chengxuan Yu  3 , Lijun Zhu  7 , Rui Lin  12 , Yuchi Gao  13 , Min Wang  14 , Yiqing Wu  4 , Jianming Zhang  15 , Renya Zhan  16 , Saiyong Zhu  10 , Hailan Hu  9 , Changchun Wang  17 , Ming Chen  8 , He Huang  18   19   20 , Tingbo Liang  11 , Jianghua Chen  6 , Weilin Wang  7 , Dan Zhang  4 , Guoji Guo  21   22   23   24   25
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V体育官网 - Construction of a human cell landscape at single-cell level

VSports手机版 - Xiaoping Han et al. Nature. 2020 May.

Abstract

Single-cell analysis is a valuable tool for dissecting cellular heterogeneity in complex systems1. 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 VSports手机版. 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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References

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