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Series GSE46300 Query DataSets for GSE46300
Status Public on Nov 01, 2015
Title Classifying distinct grades of human non-alcoholic fatty liver disease employing a systems biology approach
Organism Homo sapiens
Experiment type Expression profiling by array
Summary With an estimated prevalence of about 30% in western countries non-alcoholic fatty liver disease (NAFLD) is a major public health issue [PMID: 18956290]. NAFLD is associated with the metabolic syndrome of insulin resistance, obesity, glucose intolerance. Although many studies are pointing to an induction of insulin resistance by NAFLD causality between both phenotypes is not fully clarified. Furthermore, mechanisms leading to strongly differing progression of NAFLD have to be elucidated which range from mild steatosis up to severe steatohepatitis. Steatohepatitis might even result in liver cirrhosis and hepatocellular carcinoma. Additional complexity is introduced into the understanding of the disease by recent studies providing evidence for a direct development of carcinoma from steatosis without the formerly assumed intermediary phase of cirrhosis. Here, we investigate liver samples from patients with varying severities of steatosis in an integrative approach employing transcriptomics, serum biomarker profling, metabolomics data and systems biology models.
 
Overall design Total RNA obtained from hepatocytes derived from nine obese patients with distinct grades of steatosis.
 
Contributor(s) Wasco W, Justyna J
Citation(s) 26646939
Submission date Apr 23, 2013
Last update date Aug 13, 2018
Contact name Wasco Wruck
E-mail(s) [email protected]
Organization name Universitätsklinikum Düsseldorf
Street address Moorenstr. 5
City Düsseldorf
ZIP/Postal code 40225
Country Germany
 
Platforms (1)
GPL10558 Illumina HumanHT-12 V4.0 expression beadchip
Samples (18)
GSM1128362 liver_H0004_1
GSM1128363 liver_H0004_2
GSM1128364 liver_H0007_1
Relations
BioProject PRJNA198657

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
GSE46300_RAW.tar 26.2 Mb (http)(custom) TAR
GSE46300_non_normalized.txt.gz 5.8 Mb (ftp)(http) TXT
Processed data included within Sample table

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