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Series GSE12413 Query DataSets for GSE12413
Status Public on Sep 19, 2008
Title Prediction of left ventricle systolic dysfunction in mice using gene expression profiling
Organism Mus musculus
Experiment type Expression profiling by array
Summary We tested the hypothesis that a set of differentially expressed genes could be used to predict cardiovascular phenotype in mice after prolonged catecholamine stress.

Keywords: Treatment
 
Overall design We observed that WT FVB and B2KO mice developed systolic dysfunction in response to continuous catecholamine infusion while WT C57 mice developed diastolic dysfunction. Using these mice as the derivation cohort, we identified a set of 83 genes whose differential expression correlated with left ventricle systolic dysfunction. The gene set was then used to accurately predict development of left ventricle systolic dysfunction in a separate group of mice (WT B6129SF2/J) after catecholamine stress.
 
Contributor(s) Patterson A, Agrawal R
Citation(s) 19770745
Submission date Aug 11, 2008
Last update date Feb 11, 2019
Contact name Rani Agrawal
E-mail raniagrawal@gmail.com
Phone (650) 726-0355
Organization name Stanford University
Department Anesthesia
Lab Patterson Lab
Street address 300 Pasteur Drive, Dept of Anesthesia
City stanford
State/province CA
ZIP/Postal code 94305
Country USA
 
Platforms (1)
GPL1261 [Mouse430_2] Affymetrix Mouse Genome 430 2.0 Array
Samples (86)
GSM311495 FVB; No Treatment #1
GSM311496 FVB; No Treatment #2
GSM311497 FVB; No Treatment #3
Relations
BioProject PRJNA113103

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
GSE12413_RAW.tar 298.3 Mb (http)(custom) TAR (of CEL)
Raw data provided as supplementary file
Processed data included within Sample table

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