Single-cell RNA sequencing of human kidney
Jinling Liao, Zhenyuan Yu, Chen Yang, Mengying Bao, Chunlin Zou, Haiying Zhang, Deyun Liu, Tianyu Li, Qingyun Zhang, Jiaping Li, Jiwen Cheng, Zengnan Mo
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.