|
| Status |
Public on Dec 16, 2021 |
| Title |
SARS-CoV-2 infects the human kidney and drives fibrosis in kidney organoids |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Single-cell RNA-seq of iPSC derived human kidney organoids. Single-nuclei RNA-seq data of COVID-19 patient autopsy kidney tissue. The current data was used to suggest that SARS-CoV-2 can directly infect kidney cells and induce cell injury as well as a pro-fibrotic environment which could explain acute kidney injury in COVID-19 patients and also long-term effects potentially leading to the development of chronic kidney disease.
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| |
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| Overall design |
CTR, iPSC kidney organoids; COVID, SARS-CoV-2 infected kidney organoids; COVID-19, SARS-CoV-2 infected kidney autopsy.
>>>Submitter states that raw data are not available due to patient privacy concerns<<<
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| |
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| Contributor(s) |
Jansen J, Reimer KC, Nagai JS, Schneider RK, Smeets B, Kramann R |
| Citation(s) |
35032430 |
| |
| Submission date |
Feb 26, 2021 |
| Last update date |
Mar 17, 2022 |
| Contact name |
Ivan Gesteira Costa |
| E-mail(s) |
ivan.costa@rwth-aachen.de
|
| Phone |
+49 241 80 89337
|
| Organization name |
UKA RWTH Aachen
|
| Department |
Joint Research Center for Computational Biomedicine
|
| Lab |
Institute for Computational Genomics
|
| Street address |
Pauwelsstr. 19
|
| City |
Aachen |
| State/province |
Northrhine-Westphalia |
| ZIP/Postal code |
52074 |
| Country |
Germany |
| |
|
| Platforms (2) |
| GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
| GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
|
| Samples (6)
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|
| Relations |
| BioProject |
PRJNA705189 |
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