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Series GSE76285 Query DataSets for GSE76285
Status Public on Aug 01, 2016
Title The epigenetic signature of systemic insulin resistance in obese women [BL]
Organism Homo sapiens
Experiment type Methylation profiling by genome tiling array
Summary Impaired ability of insulin to stimulate cellular glucose uptake and regulate metabolism, that is insulin resistance (IR), links adiposity to metabolic disorders such as type 2 diabetes (T2D), dyslipidemia and cardiovascular disease (Langenberg, 2012). Both genetic and epigenetic factors are implicated in development of systemic IR (Vaag, 2001). IR is characterized by elevated levels of fasting insulin in the general circulation. The aim of this study is to explore whether white adipose tissue (WAT) epigenetic dysregulation is associated with systemic IR by global CpG methylation and gene expression profiling in subcutaneous and visceral adipose tissue. A secondary aim is to determine whether the DNA methylation signature in peripheral blood mononuclear cells reflect WAT methylation, and can be used as marker for systemic IR.
 
Overall design DNA methylation was analyzed in DNA extracted from SAT (subcutaneous adipose tissue) and VAT (visceral adipose tissue) pieces, as well as PBMCs (peripheral blood mononuclear cells), using the Infinium Human Methylation 450 BeadChip assay.
This data is from PBMCs.
 
Contributor(s) Arner P, Sahlqvist AS, Sinha I, Xu H, Yao X, Waterworth D, Loomis K, Thorell A, Näslund E, Ryden M, Dahlman I
Citation(s) 27535281
Submission date Dec 22, 2015
Last update date Mar 22, 2019
Contact name Ingrid Dahlman
E-mail(s) [email protected]
Organization name Karolinska Institute
Department Department of Medicine
Street address Hälsovägen 7
City Huddinge
ZIP/Postal code 14157
Country Sweden
 
Platforms (1)
GPL13534 Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)
Samples (80)
GSM1979061 bl_5794
GSM1979062 bl_5803
GSM1979063 bl_5810
This SubSeries is part of SuperSeries:
GSE76399 The epigenetic signature of systemic insulin resistance in obese women
Relations
BioProject PRJNA313302

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
GSE76285_RAW.tar 183.1 Mb (http)(custom) TAR
GSE76285_unmethylated_methylated_signal_intensities.txt.gz 191.2 Mb (ftp)(http) TXT
Processed data included within Sample table

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