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Series GSE181002 Query DataSets for GSE181002
Status Public on May 12, 2022
Title Single-cell RNA-seq of human kidney organoids
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We used scRNA-Seq  (and other biological experiments) to study the impact of a high oscillatory glucose regime in the differentiation and metabolic status of human kidney organoids further emulating early hallmarks of the diabetic kidney. To study the interplay between those changes and SARS-CoV-2 infection we  assessed the effect of early stages of infection (1 day post infection) in normoglicemic (5 mM), hyperglicemic (5-25 mM oscillatory regime) and differentiating (11 mM) conditions. We retrieved metabolic changes and an upregulation of inflammatory related processes upon infection, whilst there was not an impact in the viability of the different cell types in the kidney organoids. Also, we studied the differences between ACE2 CRISPR/Cas9 knockouts and ACE2 WT organoids, using single cell RNA sequencing to resolve cell-type specific and cell proportion changes.
 
Overall design Single-cell RNA-seq of human kidney organoids
 
Contributor(s) Montserrat N, Ullate-Agote A
Citation(s) 35561674
Submission date Jul 28, 2021
Last update date May 16, 2022
Contact name Asier Ullate-Agote
E-mail(s) [email protected]
Organization name CIMA
Department Hemato-Oncology
Lab Advanced Genomics
Street address Av. de Pío XII, 55
City Pamplona
State/province Navarra
ZIP/Postal code 31008
Country Spain
 
Platforms (2)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (8)
GSM5481909 Kidney organoids 5mM glucose mock
GSM5481910 Kidney organoids 5mM glucose 1dpi SARS-CoV-2
GSM5481911 Kidney organoids 5-25mM oscillatory glucose mock
Relations
BioProject PRJNA750396
SRA SRP330212

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Supplementary file Size Download File type/resource
GSE181002_RAW.tar 396.8 Mb (http)(custom) TAR (of H5)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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