GEO DataSets

(Submitter supplied) Obesity is a risk factor for numerous metabolic disorders; however, not all obese individuals are prone to insulin resistance. The central aim of this study was to identify molecular pathways directly related to insulin resistance independent of BMI in obesity. We sought to determine the gene expression signature of adipose tissue in a body mass index (BMI)-matched obese cohort of patients that are either insulin sensitive or insulin resistant.

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3781

Platform:

GPL570

39 Samples

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Analysis of subcutaneous and visceral adipose tissue from body mass index (BMI)-matched, obese patients who were insulin-sensitive versus insulin-resistant, thereby eliminating obesity as a variable. Results provide insight into molecular mechanisms mediating obesity-related insulin resistance.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 disease state, 2 gender, 2 tissue sets

Platform:

GPL570

Series:

GSE20950

39 Samples

Download data: CEL

(Submitter supplied) Affymetrix submissions are typically submitted to GEO using the GEOarchive method described at http://www.ncbi.nlm.nih.gov/projects/geo/info/geo_affy.html June 03, 2009: annotation table updated with netaffx build 28 June 06, 2012: annotation table updated with netaffx build 32 June 23, 2016: annotation table updated with netaffx build 35 Protocol: see manufacturer's web site Complete coverage of the Human Genome U133 Set plus 6,500 additional genes for analysis of over 47,000 transcripts All probe sets represented on the GeneChip Human Genome U133 Set are identically replicated on the GeneChip Human Genome U133 Plus 2.0 Array. more...

Organism:

Homo sapiens

602 DataSets

5671 Series

61 Related Platforms

175585 Samples

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