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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
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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.
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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
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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 |
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Submission date |
Sep 08, 2020 |
Last update date |
May 04, 2021 |
Contact name |
Katalin Susztak |
E-mail(s) |
[email protected]
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Organization name |
University of Pennsylvania
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Department |
Department of Medicine
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Lab |
Susztak Lab
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Street address |
3400 Civic Center Blvd
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City |
Philadelphia |
State/province |
Pennsylvania |
ZIP/Postal code |
19104 |
Country |
USA |
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Platforms (1) |
GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
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Samples (18)
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Relations |
BioProject |
PRJNA662313 |
SRA |
SRP281212 |
Supplementary file |
Size |
Download |
File type/resource |
GSE157640_Human_urine_sigle_cell_datamatrix.txt.gz |
34.4 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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