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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.
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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.
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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 |
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Platforms (1) |
GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
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Samples (3) |
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Relations |
BioProject |
PRJNA636807 |
SRA |
SRP265651 |