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Series GSE220289 Query DataSets for GSE220289
Status Public on Dec 31, 2022
Title Predicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary This SuperSeries is composed of the SubSeries listed below.
 
Overall design Refer to individual Series
 
Citation(s) 38347009
Submission date Dec 07, 2022
Last update date Feb 26, 2024
Contact name Nicolas Ledru
Organization name Washington University in St. Louis
Street address 660. S Euclid Ave., CB 8118
City Saint Louis
State/province MO
ZIP/Postal code 63108
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (55)
GSM6796908 RNA-seq of non-targeting siRNA-treated primary RPTEC, rep 1
GSM6796909 RNA-seq of non-targeting siRNA-treated primary RPTEC, rep 2
GSM6796910 RNA-seq of non-targeting siRNA-treated primary RPTEC, rep 3
This SuperSeries is composed of the following SubSeries:
GSE220222 Predicting drivers of proximal tubule cell state through regularized regression analysis of single cell multiomic sequencing
GSE220230 Predicting drivers of proximal tubule cell state through regularized regression analysis of single cell multiomic sequencing
GSE220251 Single nucleus RNA-seq, ATAC-seq, and multiomic sequencing of adult human kidney
Relations
BioProject PRJNA909579

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
GSE220289_RAW.tar 42.5 Gb (http)(custom) TAR (of H5, TBI, TSV)
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