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Series GSE61260 Query DataSets for GSE61260
Status Public on Nov 03, 2014
Title Human liver gene expression data from subjects of varying ages
Organism Homo sapiens
Experiment type Expression profiling by array
Summary N=134 human liver samples from morbidly obese patients and healthy controls were analysed by array-based mRNA expression profiling. Liver messenger RNA expression datasets from the German patients were generated on the HuGene 1.1 ST gene array The purpose of the study was to correlate these gene expression data with body mass index and with an epigenetic measure of age acceleration based on DNA methylation data.
 
Overall design The liver samples come from subjects whose body mass index ranged from 14.8 to 70.2. Ages varied between 10 and 85.
 
Contributor(s) Horvath S, Hampe J
Citation(s) 25313081
Submission date Sep 09, 2014
Last update date Nov 08, 2016
Contact name Steve Horvath
E-mail(s) [email protected]
Organization name University of California, Los Angeles
Department Human Genetics
Lab Horvath
Street address 695 Charles E. Young Drive South, Box 708822
City Los Angeles
State/province CA
ZIP/Postal code 90095-7088
Country USA
 
Platforms (1)
GPL11532 [HuGene-1_1-st] Affymetrix Human Gene 1.1 ST Array [transcript (gene) version]
Samples (134)
GSM1501013 Human liver expression data from subject S11a10882
GSM1501014 Human liver expression data from subject S11a108b2
GSM1501015 Human liver expression data from subject S11a10bf2
This SubSeries is part of SuperSeries:
GSE61256 Obesity accelerates epigenetic aging of human liver
Relations
BioProject PRJNA260615

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
GSE61260_LiverExpression_Explanation_of_characteristic_variables2.pdf.gz 168.6 Kb (ftp)(http) PDF
GSE61260_RAW.tar 555.1 Mb (http)(custom) TAR (of CEL)
GSE61260_datLiverNormalizedExpr.csv.gz 13.9 Mb (ftp)(http) CSV
Processed data are available on Series record

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