Single-cell RNA sequencing of human kidney

被引:145
|
作者
Liao, Jinling [1 ,2 ,3 ]
Yu, Zhenyuan [1 ,2 ,3 ,4 ,5 ]
Chen, Yang [1 ,2 ,3 ,4 ,5 ]
Bao, Mengying [1 ,2 ,3 ]
Zou, Chunlin [6 ,7 ,8 ]
Zhang, Haiying [1 ,2 ,3 ]
Liu, Deyun [4 ,5 ]
Li, Tianyu [4 ,5 ]
Zhang, Qingyun [1 ,2 ,3 ,4 ,9 ]
Li, Jiaping [10 ,11 ,12 ]
Cheng, Jiwen [1 ,2 ,3 ,4 ,5 ]
Mo, Zengnan [1 ,2 ,3 ,4 ,5 ]
机构
[1] Guangxi Med Univ, Ctr Genom & Personalized Med, Nanning 530021, Guangxi, Peoples R China
[2] Guangxi Collaborat Innovat Ctr Genom & Personaliz, Nanning 530021, Guangxi, Peoples R China
[3] Guangxi Key Lab Coll & Univ, Guangxi Key Lab Genom & Personalized Med, Nanning 530021, Guangxi, Peoples R China
[4] Guangxi Med Univ, Affiliated Hosp 1, Inst Urol & Nephrol, Nanning 530021, Guangxi, Peoples R China
[5] Guangxi Med Univ, Dept Urol, Affiliated Hosp 1, Nanning 530021, Guangxi, Peoples R China
[6] Guangxi Med Univ, Minist Educ, Key Lab Longev & Aging Related Dis, Nanning 530021, Guangxi, Peoples R China
[7] Guangxi Med Univ, Ctr Translat Med, Nanning 530021, Guangxi, Peoples R China
[8] Guangxi Med Univ, Sch Preclin Med, Nanning 530021, Guangxi, Peoples R China
[9] Guangxi Med Univ, Dept Urol, Affiliated Tumour Hosp, Nanning 530021, Guangxi, Peoples R China
[10] Guangxi Med Univ, Dept Cardiol, Affiliated Hosp 1, Nanning 530021, Guangxi, Peoples R China
[11] Guangxi Key Lab Precis Med Cardiocerebrovasc Dis, Nanning 530021, Guangxi, Peoples R China
[12] Guangxi Clin Res Ctr Cardiocerebrovasc Dis, Nanning 530021, Guangxi, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
GENE-EXPRESSION; LOCALIZATION;
D O I
10.1038/s41597-019-0351-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A comprehensive cellular anatomy of normal human kidney is crucial to address the cellular origins of renal disease and renal cancer. Some kidney diseases may be cell type-specific, especially renal tubular cells. To investigate the classification and transcriptomic information of the human kidney, we rapidly obtained a single-cell suspension of the kidney and conducted single-cell RNA sequencing (scRNA-seq). Here, we present the scRNA-seq data of 23,366 high-quality cells from the kidneys of three human donors. In this dataset, we show 10 clusters of normal human renal cells. Due to the high quality of single-cell transcriptomic information, proximal tubule (PT) cells were classified into three subtypes and collecting ducts cells into two subtypes. Collectively, our data provide a reliable reference for studies on renal cell biology and kidney disease.
引用
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页数:9
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