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Series GSE159253 Query DataSets for GSE159253
Status Public on Nov 17, 2020
Title Genetically defined syngeneic mouse models of ovarian cancer as tools for the discovery of combination immunotherapy (Exome)
Organism Mus musculus
Experiment type Genome variation profiling by high throughput sequencing
Summary Purpose: There are three goals of this study: 1. To compare the genomic, exome and chromatin accessiblity profiles of the specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models (this study) using whole-exome, whole-genome and ATAC-seq sequencing.
Methods: For whole-exome analysis, genomic DNA was extracted from the cell lines mentioned below.
Conclusions: We conclude that whole-exome, whole-genome and ATAC-seq characterization would expedite genetic network analyses and permit the dissection of complex biological functions.
 
Overall design Genomic profiles from specific engineered fallopian tube cells were generated by whole-exome, whole-genome and ATAC-seq sequencing.
 
Contributor(s) Weinberg RA, Iyer S, Bell GW
Citation(s) 33158843
Submission date Oct 08, 2020
Last update date Nov 17, 2020
Contact name Sonia Iyer
E-mail(s) [email protected], [email protected], [email protected]
Organization name Whitehead Institute
Lab Weinberg
Street address 455 Main Street
City Cambridge
State/province MA
ZIP/Postal code 02142
Country USA
 
Platforms (1)
GPL23479 BGISEQ-500 (Mus musculus)
Samples (3)
GSM4824362 KPCA
GSM4824363 KPCA.C
GSM4824364 KPCA.A
This SubSeries is part of SuperSeries:
GSE158474 Genetically defined syngeneic mouse models of ovarian cancer as tools for the discovery of combination immunotherapy
Relations
BioProject PRJNA668139
SRA SRP286773

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
GSE159253_RAW.tar 5.4 Mb (http)(custom) TAR (of VCF)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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