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Series GSE151671 Query DataSets for GSE151671
Status Public on Apr 19, 2022
Title Single Cell Transcriptomics of Human Native Kidney and Kidney Allografts
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We tested the hypothesis that single-cell RNA-sequencing (scRNA-seq, 10X) and computational analysis of human kidney allograft biopsies will reveal new cell types and cell states and yield insights to personalize the care of transplant recipients.
 
Overall design 3 kidney biopsies from 3 individuals for scRNA-seq; (i) HK: native kidney biopsy from a living kidney, (ii) AK1: allograft kidney biopsy with transplant glomerulopathy, fibrosis, and worsening kidney function but with undetectable circulating anti-HLA antibodies, and (iii) AK2: allograft kidney biopsy after treatment of active antibody-mediated rejection but with persistent circulating donor-specific anti-HLA antibodies.
 
Contributor(s) Muthukumar T, Suryawanshi H, Morozov P
Citation(s) 35657798
Submission date Jun 02, 2020
Last update date Jun 23, 2022
Contact name Pavel Morozov
Organization name Rockefeller University
Department Tuschl Lab
Lab RNA biology Lab.
Street address 1230
City New York
State/province NY
ZIP/Postal code 10065
Country USA
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (3)
GSM4587971 Native Kidney Biopsy
GSM4587972 Allograft Kidney Biopsy #1
GSM4587973 Allograft Kidney Biopsy #2
Relations
BioProject PRJNA636807
SRA SRP265651

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE151671_Cell_barcode_assignment.xlsx 276.7 Kb (ftp)(http) XLSX
GSE151671_RAW.tar 16.6 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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