Single-cell RNA sequencing of human kidney
Version 2 2019-11-09, 13:36Version 2 2019-11-09, 13:36
Version 1 2019-08-19, 09:58Version 1 2019-08-19, 09:58
dataset
posted on 2019-11-09, 13:36 authored by Jinling Liao, Zhenyuan YuZhenyuan Yu, Yang ChenA
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 human kidney, we performed a
method to obtain single-cell suspension of kidney rapidly, and conducted
single-cell RNA sequencing (scRNA-seq). We present scRNA-seq data of
23,366 high quality cells from human kidneys of 3 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 3 subtypes and collecting ducts cells into 2
subtypes. Collectively, our data will provide a reliable reference for the
studies of renal cell biology and kidney diseases.
Funding
National Natural Science Foundation of China (81770759)
National Natural Science Foundation of China (81370857)
National Key R&D Program of China (2017YFC0908000)
Guangxi Natural Science Fund for Innovation Research Team (2013GXNSFFA019002)
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