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Series GSE131685 Query DataSets for GSE131685
Status Public on May 30, 2019
Title Single-cell RNA sequencing of human kidney
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary A comprehensive cellular anatomy of normal human kidney is vital 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 22,808 high quality cells from human kidneys of 3 donors. In this dataset, we show 13 clusters of normal human renal cells. Due to the high quality of single cell transcriptomic information, proximal tubule (PT) cells were classified into 6 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.
 
Overall design Primary kidney samples from 3 patients were used for single cell RNA sequencing by 10X Genomics
 
Contributor(s) Liao J, Yu Z, Chen Y, Zou C, Zhang H, Cheng J, Liu D, Li T, Zhang Q, Mo Z
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Submission date May 23, 2019
Last update date Jun 01, 2019
Contact name Zhenyuan Yu
E-mail(s) yuzhenyuan@126.com
Phone +8613617715617
Organization name Guangxi Medical University
Department Center for Genomic and Personalized Medicine
Street address Shuangyong road 22
City Nanning
State/province Guangxi
ZIP/Postal code 530021
Country China
 
Platforms (1)
GPL20795 HiSeq X Ten (Homo sapiens)
Samples (3)
GSM3813936 Patient 1 Kidney Homogenate
GSM3813937 Patient 2 Kidney Homogenate
GSM3813938 Patient 3 Kidney Homogenate
Relations
BioProject PRJNA544431
SRA SRP199294

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Supplementary file Size Download File type/resource
GSE131685_RAW.tar 71.8 Mb (http)(custom) TAR (of MTX, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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