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Series GSE7270 Query DataSets for GSE7270
Status Public on Oct 12, 2007
Title Identification of cancer modifiers using parental strain expression mapping
Organism Mus musculus
Experiment type Expression profiling by array
Summary Inherited genetic risk factors play an important role in cancer. However, other than cancer susceptibility genes found in familial cancer syndromes and inherited in a Mendelian fashion, little is known about modifier genes (germline variants that interact with each other and with environmental factors) that contribute to individual susceptibility. Here we develop a strategy “parental strain expression mapping” (PSEM), which utilizes the homogeneity of inbred mice and genome-wide mRNA expression analyses, to directly identify candidate germline modifier genes and pathways underlying phenotypic differences among murine strains exposed to transgenic activation of AKT1. We identified multiple candidate modifier pathways and specifically, the glycolysis pathway as a candidate negative modulator of AKT1-induced proliferation. In keeping with findings in murine models, the expression of the glycolysis pathway was strongly enriched in the non-cancer prostate tissue from patients with prostate cancer who did not recur after surgical resection. Together these data suggest that PSEM can directly identify germline modifier pathways of relevance to human disease.
Keywords: genetic modifier
 
Overall design mRNA expression profiling was carried out with 24 samples of VP from 6 inbred strains.
 
Contributor(s) Xu Q, Ross K, Sellers W
Citation(s) 17978178
Submission date Mar 14, 2007
Last update date Jan 08, 2019
Contact name qing xu
E-mail(s) qing_xu@dfci.harvard.edu
Phone 6176322930
Organization name dana farber cancer institute
Department Medical Oncology
Lab sellers
Street address 44 binney st
City boston
State/province MA
ZIP/Postal code 02115
Country USA
 
Platforms (1)
GPL339 [MOE430A] Affymetrix Mouse Expression 430A Array
Samples (24)
GSM175342 AKR VP, biological rep1
GSM175343 AKR VP, biological rep2
GSM175344 AKR VP, biological rep3
Relations
BioProject PRJNA97987

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
GSE7270_RAW.tar 80.9 Mb (http)(custom) TAR (of CEL)

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