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Series GSE128775 Query DataSets for GSE128775
Status Public on Mar 26, 2019
Title Stochastic Changes in Gene Expression Promote Chaotic Dysregulation of Homeostasis in Clonal Breast Tumors
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Much remains unknown about the mechanisms contributing to molecular and cellular diversity in cancer. This diversity enables the evolutionary processes that govern tumor progression and contributes to treatment failures. In a previous study, we described atypical losses of heterozygosity at the DNA level in Her2/neu-driven breast tumors from first generation (F1) intercrossed mice. We now describe similar losses of heterozygosity at the level of gene expression. By quantitating each parental allele for genes expressed across a population of clonal tumors, we found variegated patterns of expression outliers in hundreds of genes, enriched in pathways typically co-opted by tumors. The frequency of outliers was correlated with transcriptional repression of a large set of homozygous genes. These findings reveal the potential for sporadic epigenetic errors that cause dysregulated cellular homeostasis and generate phenotypic variations available for clonal selection.
 
Overall design Quantitation and characterization of germline-encoded BALB/c versus FVB/J allelic expression in breast tumors from [BALB/c x FVB/J] F1 mice.
 
Contributor(s) Felts SJ, Pease LR
Citation(s) 31240244
Submission date Mar 25, 2019
Last update date Jul 01, 2019
Contact name Larry R Pease
E-mail(s) pease.larry@mayo.edu
Phone 507-284-8177
Organization name Mayo Clinic
Department Immunology
Street address 200 First St SW
City Rochester
State/province MN
ZIP/Postal code 55906
Country USA
 
Platforms (1)
GPL21103 Illumina HiSeq 4000 (Mus musculus)
Samples (20)
GSM3684818 s_1_Lo_2
GSM3684819 s_2_Lo_3
GSM3684820 s_3_Lo_7
Relations
BioProject PRJNA528873
SRA SRP189304

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
GSE128775_geneCount.tsv.gz 1.7 Mb (ftp)(http) TSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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