Single-cell RNA sequencing of human kidney
Single-cell RNA sequencing of human kidney
复制标题
人肾单细胞RNA测序
DOI：
10.1038/s41597-019-0351-8
复制
发表时间：
2020-01-02
期刊：
影响因子：
9.8
通讯作者：
Mo, Zengnan
中科院分区：
文献类型：
--
作者：
Liao, Jinling;Yu, Zhenyuan;Mo, Zengnan
正常人肾脏的全面细胞解剖对于解决肾脏疾病和肾癌的细胞起源至关重要。一些肾脏疾病可能是细胞类型特异性的，特别是肾小管细胞。为了研究人类肾脏的分类和转录组信息，我们快速获得了肾脏的单细胞悬液并进行了单细胞RNA测序（scRNA-seq）。在这里，我们展示了来自三名人类供体肾脏的23，366个高质量细胞的scRNA-seq数据。在这个数据集中，我们展示了10个正常人肾细胞簇。由于高质量的单细胞转录组信息，近端小管（PT）细胞分为三个亚型和集合管细胞分为两个亚型。总的来说，我们的数据为肾细胞生物学和肾脏疾病的研究提供了可靠的参考。
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.