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Series GSE229782 Query DataSets for GSE229782
Status Public on Dec 01, 2023
Title Combinatorial genetic strategy accelerates the discovery of cancer genotype-phenotype associations [scDNA-Seq]
Organisms Homo sapiens; Mus musculus
Experiment type Other
Summary Available genetically-defined cancer models are limited in genotypic and phenotypic complexity and underrepresent the heterogeneity of human cancer. Herein, we describe a combinatorial genetic strategy applied to an organoid transformation assay to rapidly generate diverse, clinically relevant models of bladder and prostate cancer. Importantly, the clonal architecture of the resultant tumors can be resolved using single-cell or spatially resolved next-generation sequencing to uncover polygenic drivers of cancer phenotypes.
 
Overall design scDNA sequencing was performed on the bladder/prostate tumors generated by transducing the bladder urothelial cells with a pooled lentivirus containing candidate oncogenic events, in order to deconvolute the clonality and heterogenity formed in the generated tumors. Different cell populations were identified in each tumor samples with enriched candidate factors in each population.
 
Contributor(s) Li S, Wong A, Sun H, Lee JK
Citation(s) 38424461
Submission date Apr 14, 2023
Last update date Mar 13, 2024
Contact name John K. Lee
E-mail(s) jklee5@fredhutch.org
Phone 2066673652
Organization name Fred Hutch Cancer Research Ctr
Street address 1100 Fairview Ave N Rm E2-430
City Seattle
State/province Washington
ZIP/Postal code 98101
Country USA
 
Platforms (2)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
GPL19969 Illumina MiSeq (Homo sapiens; Mus musculus)
Samples (6)
GSM7177625 FHBT-7_pLvb4-ms2-tumor A
GSM7177626 FHBT-7_pLvb4-ms2-tumor B
GSM7177627 prostate_tumor_large_cell
This SubSeries is part of SuperSeries:
GSE229783 Combinatorial genetic strategy accelerates the discovery of cancer genotype-phenotype associations
Relations
BioProject PRJNA955821

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
GSE229782_RAW.tar 9.4 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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