GEO DataSets

(Submitter supplied) Individualized analysis through expression profiling of 20,000 probes in 28 tissue samples evaluated in subcutaneous and omental adipose tissue obtained during surgical intervention in non-obese and obese patients. Patients consisted of men and women of varying body size (lean to severely obese). Samples were collected at the time of operation in the fasting state.

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3679

Platform:

GPL4044

28 Samples

Download data: XLS

Analysis of SC and OM adipose tissue collected from morbidly obese patients. Patients grouped as Low or High Acylation Stimulating protein (ASP) and Triglyceride (TG). ASP is associated with various metabolic disorders. Results provide insight into molecular basis of the two ASP-TG lipemic indices.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 disease state, 16 individual, 2 tissue sets

Platform:

GPL4044

Series:

GSE15524

28 Samples

Download data: XLS

(Submitter supplied) To provide a comprehensive understanding of how GC affect adipose tissue and adipocyte function, we analyzed patterns of gene expression after culture of abdominal subcutaneous (sc) and omental (Om)) Adipose tissue of severely obese subjects (3F, 1M) in the presence of insulin or insulin (7 nM) plus dexamethasone (dex, 25 nM) for 7d.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL8300 GPL91

14 Samples

Download data: CEL, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL570 GPL7020

26 Samples

Download data: CEL

(Submitter supplied) The objective was to characterize differences in the secretome of human omental compared with subcutaneous adipose tissue using global gene expression profiling. Gene expression was measured using Affymetrix microarrays in subcutaneous and omental adipose tissue (n=3 independent subjects; 6 arrays). Predictive bioinformatic algorithms were employed to identify those differentially expressed genes that code for secreted proteins and to identify common pathways between these proteins. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

6 Samples

Download data: CEL

(Submitter supplied) The objective was to characterize differences in the secretome of human omental compared with subcutaneous adipose tissue using global gene expression profiling. Gene expression was measured using Affymetrix microarrays in subcutaneous and omental adipose tissue (n=5 independent subjects; 10 arrays). Predictive bioinformatic algorithms were employed to identify those differentially expressed genes that code for secreted proteins and to identify common pathways between these proteins. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL7020

20 Samples

Download data: CEL

(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

Download data: CEL

(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:

GDS3962

Platform:

GPL570

19 Samples

Download data: CEL

Analysis of omental and subcutaneous adipose tissue samples from a body mass index (BMI)-matched, morbidly-obese cohort of patients that are either insulin-sensitive or insulin-resistant. Results provide insight into mechanisms underlying obesity-related insulin resistance independent of BMI.

Organism:

Homo sapiens

Type:

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

Platform:

GPL570

Series:

GSE15773

19 Samples

Download data: CEL

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) 5 arrays from obese insulin-resistant and lean insulin-sensitive females adipose tissue at fasting and after 3h hyperinsulinemia

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

20 Samples

Download data: CEL