Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Expression data from open bariatric surgery patients - various adipose samples

ABSTRACT: Diabetes and obesity are widespread diseases with signifciant socioeconomic implications. We used three different types of human adipose tissue (epigastric, visceral, and subcutaneous) in order to determine differences in global gene expression between these adipose depots in severely obese patients. In this dataset, we include the expression data obtained from three types of adipose tissue; epigastric, subcutaneous, and visceral all obtained through open gastric bypass surgery. 18 total samples were analyzed. Tissues were paired together to run on one genechip, with three pairs of epigastric, three pairs of subcutaneous, and three pairs of visceral were ran on nine genechips. Comparisons of gene expression in the form of fold changes between pairs of adipose types (i.e., subcutaneous/epigastric, visceral/epigastric, and subcutaneous/visceral) were completed by Spotfire Analysis.

ORGANISM(S): Homo sapiens

SUBMITTER: George Argyropoulos 

PROVIDER: E-GEOD-42715 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Gene expression profiling in subcutaneous, visceral and epigastric adipose tissues of patients with extreme obesity.

Gerhard G S GS   Styer A M AM   Strodel W E WE   Roesch S L SL   Yavorek A A   Carey D J DJ   Wood G C GC   Petrick A T AT   Gabrielsen J J   Ibele A A   Benotti P P   Rolston D D DD   Still C D CD   Argyropoulos G G  

International journal of obesity (2005) 20130816 3

<h4>Objective</h4>The goal of the present study was to identify differences in gene expression between SAT, VAT and EAT depots in Class III severely obese individuals.<h4>Design</h4>Human subcutaneous (SAT) and visceral (VAT) adipose tissues exhibit differential gene expression profiles. There is little information, however, about the other proximal white adipose tissue, epigastric (EAT), in terms of its function and contribution to metabolism.<h4>Subjects and methods</h4>Using RNA from adipose  ...[more]

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