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Series GSE38852 Query DataSets for GSE38852
Status Public on Sep 05, 2013
Title Protein sets define disease states and predict in vivo effects of drug treatment [heart]
Organism Mus musculus
Experiment type Expression profiling by array
Summary Gaining understanding of common complex diseases and their treatments are the main drivers for life sciences. As we show here, comprehensive protein set analyses offer new opportunities to decipher functional molecular networks of diseases and assess the efficacy and side-effects of treatments in vivo. Using mass spectrometry, we quantitatively detected several thousands of proteins and observed significant changes in protein pathways that were (dys-) regulated in diet-induced obesity mice. Analysis of the expression and post-translational modifications of proteins in various peripheral metabolic target tissues including adipose, heart, and liver tissue generated functional insights in the regulation of cell and tissue homeostasis during high-fat diet feeding and medication with two antidiabetic compounds. Protein set analyses singled out pathways for functional characterization, and indicated, for example, early-on potential cardiovascular complication of the diabetes drug rosiglitazone. In vivo protein set detection can provide new avenues for monitoring complex disease processes, and for evaluating preclinical drug candidates.
 
Overall design Male C57BL/6 mice (age 6 wks) were fed for 12 weeks with high-fat diet (HFD) and than distributed into 3 groups. Mice were then fed over 3 weeks with HFD without compound ('HFD'), HFD with 4 mg/kg/d rosiglitazone ('HFD_RSG') or with 100 mg/kg/d amorfrutin 1 ('HFD_A1'). Finally, HEART tissue was harvested and RNA extracted. --> 3-4 biological replicates (2 mice per each replicate, RNA of 2 mice always pooled).
 
Contributor(s) Weidner C
Citation(s) 23579186
Submission date Jun 21, 2012
Last update date Jan 16, 2019
Contact name Christopher Weidner
E-mail(s) weidner@molgen.mpg.de
Organization name Max Planck-Institute for Molecular Genetics
Department Otto Warburg Laboratory
Lab Sauer
Street address Ihnestraße 63
City Berlin
ZIP/Postal code 14195
Country Germany
 
Platforms (1)
GPL6887 Illumina MouseWG-6 v2.0 expression beadchip
Samples (10)
GSM950724 heart_HFD_1
GSM950725 heart_HFD_2
GSM950726 heart_HFD_3
This SubSeries is part of SuperSeries:
GSE38856 Protein sets define disease states and predict in vivo effects of drug treatment
Relations
BioProject PRJNA169106

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
GSE38852_RAW.tar 15.8 Mb (http)(custom) TAR
GSE38852_non_normalized.txt.gz 3.0 Mb (ftp)(http) TXT
Processed data included within Sample table

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