Single-cell RNA sequencing of human kidney.

Sci Data, 2020/01/02;7(1):4.

Liao J[1, 2, 3], Yu Z[1, 2, 3, 4, 5], Chen Y[1, 2, 3, 4, 5], Bao M[1, 2, 3], Zou C[6, 7], Zhang H[1, 2, 3], Liu D[4, 5], Li T[4, 5], Zhang Q[1, 2, 3, 4, 8], Li J[9, 10, 11], Cheng J[12, 13, 14, 15, 16], Mo Z[17, 18, 19, 20, 21]

Affiliations

PMID: 31896769DOI: 10.1038/s41597-019-0351-8

Impact factor: 8.501

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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