HCA Data Explorer

Single-cell RNA sequencing of human kidney

Updated June 19, 2024

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.

Jiwen ChengGuangxi Medical Universitychengjiwen1977@foxmail.com
Zengnan MoGuangxi Medical Universityzengnanmo@hotmail.com
Jinling Liao1
Yang Chen1
Chunlin Zou1
Haiying Zhang1
Deyun Liu2
Tianyu Li2
Qingyun Zhang1
Zhenyuan Yu1
Jiwen Cheng1
Zengnan Mo1
1Guangxi Medical University
2The First Affiliated Hospital of Guangxi Medical University
Ami Day

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/2ef3655a-973d-4d69-9b41-21fa4041eed7
None
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

Atlas

KidneyKidney v1.0

Analysis Portals

None

Project Label

HumanAdultKidneyLiaoMo

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

kidney

Organ Part

Unspecified

Selected Cell Types

Unspecified

Disease Status (Specimen)

normal

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

10x 3' v2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

raw_matrix_generation

File Format

4 file formats

Cell Count Estimate

23.4k

Donor Count

3
fastq.gz8 file(s)mtx.gz3 file(s)tsv.gz6 file(s)xlsx1 file(s)