[HTML][HTML] Single-cell RNA sequencing of human kidney
J Liao, Z Yu, Y Chen, M Bao, C Zou, H Zhang, D Liu… - Scientific data, 2020 - nature.com
J Liao, Z Yu, Y Chen, M Bao, C Zou, H Zhang, D Liu, T Li, Q Zhang, J Li, J Cheng, Z Mo
Scientific data, 2020•nature.comA 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 …
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 …
Abstract
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.
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