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Series GSE157640 Query DataSets for GSE157640
Status Public on Feb 02, 2021
Title Urinary single cell profiling captures cellular diversity of the kidney
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We performed single cell transcriptomic analysis on 17 urine samples obtained from five subjects at two different occasions using both spot and 24-hour urine collection. In addition, we used a combined spot urine samples of five healthy individuals as a control sample. We sequenced a total of 71,667 cells. After quality control and downstream analysis, we found that epithelial cells were the most common cell types in the urine. We were also able to identify most kidney cell types in the urine, such as podocyte, proximal, and collecting duct (CD), in addition to macrophages, monocytes and lymphocytes.
 
Overall design Single cell RNA sequencing for 17 urine samples collected from 5 DKD patients of TRIDENT cohort and a pooled urine sample of five healthy individuals
 
Contributor(s) Chatterjee S, Abedini A, Zhu YO, Halasz G, Devalaraja-Narashimha K, Shrestha R, Park J, Zhou T, Sullivan KM, Hu H, Sheng X, Liu H, Wei Y, Boustany-Kari CM, Patel U, Almaani S, Palmer M, Townsend R, Blady S, Hogan J, Morton L, Susztak K
Citation(s) 33531352
Submission date Sep 08, 2020
Last update date May 04, 2021
Contact name Katalin Susztak
E-mail(s) [email protected]
Organization name University of Pennsylvania
Department Department of Medicine
Lab Susztak Lab
Street address 3400 Civic Center Blvd
City Philadelphia
State/province Pennsylvania
ZIP/Postal code 19104
Country USA
 
Platforms (1)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (18)
GSM4771931 Spot_urine_patient1_visit1
GSM4771932 Spot_urine_patient1_visit2
GSM4771933 24hr_urine_patient1_visit1
Relations
BioProject PRJNA662313
SRA SRP281212

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE157640_Human_urine_sigle_cell_datamatrix.txt.gz 34.4 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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