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Construction of a human cell landscape at single-cell level
by
Xiao, Yanyu
, Zhang, Qi
, Wang, Weilin
, Fei, Lijiang
, Chen, Jianghua
, Hu, Hailan
, Huang, He
, Wang, Jingjing
, Zhou, Ziming
, Chen, Yao
, Chen, Haide
, Zhu, Saiyong
, Zhang, Tingyue
, Chen, Ming
, Han, Xiaoping
, Zhang, Jianming
, Ge, Wenhao
, Lin, Rui
, Lai, Shujing
, Ma, Xiaojie
, Zhu, Lijun
, Wu, Yiqing
, Jiang, Mengmeng
, Ye, Fang
, Liang, Tingbo
, Gao, Yuchi
, Zhou, Yincong
, Sun, Huiyu
, Wu, Junqing
, Zhang, Dan
, Wang, Changchun
, Bai, Xueli
, Jia, Xiaoning
, Tang, Huanna
, Zhan, Renya
, Wang, Min
, Wang, Renying
, Yu, Chengxuan
, Guo, Guoji
in
13/51
/ 45/100
/ 45/91
/ 631/553/1833
/ 631/61/212/2019
/ 631/61/2320
/ Adult
/ Analysis
/ Animals
/ Antigens
/ Asian Continental Ancestry Group
/ Bladder
/ Cell Differentiation
/ Cell Line
/ Cell Separation
/ Cells (biology)
/ Cells - cytology
/ Cells - metabolism
/ China
/ Comparative analysis
/ Databases, Factual
/ Embryoid Bodies - cytology
/ Embryoid Bodies - metabolism
/ Ethnic Groups
/ Fetus - cytology
/ Gene expression
/ Gene sequencing
/ Hematopoietic Stem Cells - cytology
/ Hematopoietic Stem Cells - metabolism
/ Heterogeneity
/ Human cell culture
/ Humanities and Social Sciences
/ Humans
/ Immunity
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - metabolism
/ Islets of Langerhans - cytology
/ Islets of Langerhans - metabolism
/ Methods
/ Mice
/ multidisciplinary
/ Organ Specificity
/ Organs
/ Progenitor cells
/ RNA sequencing
/ RNA, Messenger - analysis
/ RNA, Messenger - genetics
/ Science
/ Science (multidisciplinary)
/ Sequence Analysis, RNA
/ Single-Cell Analysis - instrumentation
/ Single-Cell Analysis - methods
/ Stem cells
/ Stochastic Processes
/ Stochasticity
/ Unicellular organisms
2020
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Construction of a human cell landscape at single-cell level
by
Xiao, Yanyu
, Zhang, Qi
, Wang, Weilin
, Fei, Lijiang
, Chen, Jianghua
, Hu, Hailan
, Huang, He
, Wang, Jingjing
, Zhou, Ziming
, Chen, Yao
, Chen, Haide
, Zhu, Saiyong
, Zhang, Tingyue
, Chen, Ming
, Han, Xiaoping
, Zhang, Jianming
, Ge, Wenhao
, Lin, Rui
, Lai, Shujing
, Ma, Xiaojie
, Zhu, Lijun
, Wu, Yiqing
, Jiang, Mengmeng
, Ye, Fang
, Liang, Tingbo
, Gao, Yuchi
, Zhou, Yincong
, Sun, Huiyu
, Wu, Junqing
, Zhang, Dan
, Wang, Changchun
, Bai, Xueli
, Jia, Xiaoning
, Tang, Huanna
, Zhan, Renya
, Wang, Min
, Wang, Renying
, Yu, Chengxuan
, Guo, Guoji
in
13/51
/ 45/100
/ 45/91
/ 631/553/1833
/ 631/61/212/2019
/ 631/61/2320
/ Adult
/ Analysis
/ Animals
/ Antigens
/ Asian Continental Ancestry Group
/ Bladder
/ Cell Differentiation
/ Cell Line
/ Cell Separation
/ Cells (biology)
/ Cells - cytology
/ Cells - metabolism
/ China
/ Comparative analysis
/ Databases, Factual
/ Embryoid Bodies - cytology
/ Embryoid Bodies - metabolism
/ Ethnic Groups
/ Fetus - cytology
/ Gene expression
/ Gene sequencing
/ Hematopoietic Stem Cells - cytology
/ Hematopoietic Stem Cells - metabolism
/ Heterogeneity
/ Human cell culture
/ Humanities and Social Sciences
/ Humans
/ Immunity
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - metabolism
/ Islets of Langerhans - cytology
/ Islets of Langerhans - metabolism
/ Methods
/ Mice
/ multidisciplinary
/ Organ Specificity
/ Organs
/ Progenitor cells
/ RNA sequencing
/ RNA, Messenger - analysis
/ RNA, Messenger - genetics
/ Science
/ Science (multidisciplinary)
/ Sequence Analysis, RNA
/ Single-Cell Analysis - instrumentation
/ Single-Cell Analysis - methods
/ Stem cells
/ Stochastic Processes
/ Stochasticity
/ Unicellular organisms
2020
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Construction of a human cell landscape at single-cell level
by
Xiao, Yanyu
, Zhang, Qi
, Wang, Weilin
, Fei, Lijiang
, Chen, Jianghua
, Hu, Hailan
, Huang, He
, Wang, Jingjing
, Zhou, Ziming
, Chen, Yao
, Chen, Haide
, Zhu, Saiyong
, Zhang, Tingyue
, Chen, Ming
, Han, Xiaoping
, Zhang, Jianming
, Ge, Wenhao
, Lin, Rui
, Lai, Shujing
, Ma, Xiaojie
, Zhu, Lijun
, Wu, Yiqing
, Jiang, Mengmeng
, Ye, Fang
, Liang, Tingbo
, Gao, Yuchi
, Zhou, Yincong
, Sun, Huiyu
, Wu, Junqing
, Zhang, Dan
, Wang, Changchun
, Bai, Xueli
, Jia, Xiaoning
, Tang, Huanna
, Zhan, Renya
, Wang, Min
, Wang, Renying
, Yu, Chengxuan
, Guo, Guoji
in
13/51
/ 45/100
/ 45/91
/ 631/553/1833
/ 631/61/212/2019
/ 631/61/2320
/ Adult
/ Analysis
/ Animals
/ Antigens
/ Asian Continental Ancestry Group
/ Bladder
/ Cell Differentiation
/ Cell Line
/ Cell Separation
/ Cells (biology)
/ Cells - cytology
/ Cells - metabolism
/ China
/ Comparative analysis
/ Databases, Factual
/ Embryoid Bodies - cytology
/ Embryoid Bodies - metabolism
/ Ethnic Groups
/ Fetus - cytology
/ Gene expression
/ Gene sequencing
/ Hematopoietic Stem Cells - cytology
/ Hematopoietic Stem Cells - metabolism
/ Heterogeneity
/ Human cell culture
/ Humanities and Social Sciences
/ Humans
/ Immunity
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - metabolism
/ Islets of Langerhans - cytology
/ Islets of Langerhans - metabolism
/ Methods
/ Mice
/ multidisciplinary
/ Organ Specificity
/ Organs
/ Progenitor cells
/ RNA sequencing
/ RNA, Messenger - analysis
/ RNA, Messenger - genetics
/ Science
/ Science (multidisciplinary)
/ Sequence Analysis, RNA
/ Single-Cell Analysis - instrumentation
/ Single-Cell Analysis - methods
/ Stem cells
/ Stochastic Processes
/ Stochasticity
/ Unicellular organisms
2020
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Construction of a human cell landscape at single-cell level
Journal Article
Construction of a human cell landscape at single-cell level
2020
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Overview
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.
Single-cell RNA sequencing is used to generate a dataset covering all major human organs in both adult and fetal stages, enabling comparison with similar datasets for mouse tissues.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ 45/100
/ 45/91
/ Adult
/ Analysis
/ Animals
/ Antigens
/ Asian Continental Ancestry Group
/ Bladder
/ China
/ Embryoid Bodies - metabolism
/ Hematopoietic Stem Cells - cytology
/ Hematopoietic Stem Cells - metabolism
/ Humanities and Social Sciences
/ Humans
/ Immunity
/ Induced Pluripotent Stem Cells - cytology
/ Induced Pluripotent Stem Cells - metabolism
/ Islets of Langerhans - cytology
/ Islets of Langerhans - metabolism
/ Methods
/ Mice
/ Organs
/ Science
/ Single-Cell Analysis - instrumentation
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