Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

49 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genetic Risk Factors for Type 2 Diabetes: A Trans-Regulatory Genetic Architecture?

ABSTRACT: Transcriptional Profiling of Insulin Sensitive and Insulin Resistant Samples Sixty two participants at the tail ends of the distribution of insulin sensitivity adjusted for age, gender and natural logarithm of BMI for each ethnic group separately. Individuals at tail ends were well matched for age, gender, BMI, and percent fat, but were different for insulin sensitivity. Participants were of age 20 years to 55 years, body mass index (BMI) between 19 kg/m2 and 42 kg/m2, and had all biopsies obtained in the fasting state.

ORGANISM(S): Homo sapiens

SUBMITTER: Eric Gamazon

PROVIDER: E-GEOD-40234 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Genetic risk factors for type 2 diabetes: a trans-regulatory genetic architecture?

Elbein Steven C SC Gamazon Eric R ER Das Swapan K SK Rasouli Neda N Kern Philip A PA Cox Nancy J NJ

American journal of human genetics 20120901 3

To date, 68 loci have been associated with type 2 diabetes (T2D) or glucose homeostasis traits. We report here the results of experiments aimed at functionally characterizing the SNPs replicated for T2D and glucose traits. We sought to determine whether these loci were associated with transcript levels in adipose, muscle, liver, lymphocytes, and pancreatic β-cells. We found an excess of trans, rather than cis, associations among these SNPs in comparison to what was expected in adipose and muscle ...[more]

PMID: 22958899

Similar Datasets

Relationship between insulin sensitivity and gene expression in human skeletal muscle (Study B)

Project description:We studied 9 healthy young non-diabetic men without any family history of diabetes. The mean age and body mass index (BMI) were 25.33 ± 0.33 years and 24.57 ± 0.62 kg/m2, respectively, and the mean 1/ homeostatic model assessment of insulin resistance (HOMA-IR) was 1.17 ± 0.12. We included baseline gene expression profile data (i.e. only before bed rest)

2020-11-19 | GSE161720 | GEO

Phosphoproteomic analysis of three exercise modalities in human skeletal muscle

Project description:To characterize phosphorylation-based signaling events across different exercise modalities we subjected eight healthy young men (age, 26.3±1.3 years; BMI, 23.5±0.7 kg/m2; maximal oxygen uptake (VO2 max), 42.6±1.5 ml/kg/min) that did not perform regular physical activity apart from local bicycling to an acute bout of endurance (90 min ~60% of VO2 max), sprint (3 x 30-s all-out cycling), or resistance exercise (6 sets of 10 RM knee extensions) in the fasting state. All participants completed the three types of exercise in a randomized crossover design with 14 days washout between each exercise bout.

2022-07-18 | PXD031049 | Pride

Preadipocytes of T2DM patients display an intrinsic gene expression profile of decreased differentiation capacity

Project description:Insulin resistance and Type 2 Diabetes Mellitus (T2DM) are associated with increased adipocyte size, altered secretory pattern and decreased differentiation of preadipocytes. To identify the underlying molecular processes in preadipocytes of T2DM patients that are a characteristic of the development of T2DM, preadipocyte cell cultures were prepared from subcutaneous fat biopsies of T2DM patients and compared with age- and BMI matched control subjects. Gene expression profiling showed changed expression of transcription factors involved in adipogenesis and in extracellular matrix remodeling, actin cytoskeleton and integrin signaling genes, which indicated decreased capacity to differentiate. Additionally, genes involved in insulin signaling and lipid metabolism were down-regulated, and inflammation/apoptosis was up-regulated in T2DM preadipocytes. The down-regulation of genes involved in differentiation can provide a molecular basis for the reduced adipogenesis of preadipocytes of T2DM subjects, leading to reduced formation of adipocytes in subcutaneous fat depots, and ultimately leading to ectopic fat storage. 7 T2DM preadipocyte samples and 9 age- and BMI-matched control samples were hybridized using 70-mer oligonucleotide microarrays. Samples were labeled with either Cy3 or Cy5. A total of 20 arrays were used including dye swop. Per array, a T2DM sample was hybridized with a control sample of the same gender and matched based on age and BMI. To ensure hybridization of two samples with the same gender, three T2DM (5064, 5128, 5395) and one control sample (5616) were used twice and listed as technical replicates.

2010-05-16 | E-GEOD-15790 | biostudies-arrayexpress

Relationship between insulin sensitivity and gene expression in human skeletal muscle (Study A)

Project description:To identify genes correlated to insulin sensitivity in skeletal muscle, we studied 38 non-diabetic men from Malmö, Sweden. Briefly, the Malmö Exercise Intervention cohort consists of sedentary but otherwise healthy male subjects from southern Sweden. They all have European ancestry and 18 of them have a first-degree family member with T2D. The mean age and body mass index (BMI) were 37.71 ± 0.71 years and 28.47 ± 0.48 kg/m2, respectively, and the mean 1/the homeostatic model assessment-insulin resistance (HOMA-IR) was 0.69 ± 0.04

2020-11-19 | GSE161719 | GEO

Proteomics of Human Skeletal Muscle

Project description:The skeletal muscle proteomics study of vastus lateralis muscle biopsies which were collected from participants from the Genetic and Epigenetic Study of Aging and Laboratory Testing (GESTALT). The participants were free of major diseases, except for controlled hypertension or a history of cancer that had been clinically silent for at least 10 years, were not chronically medicated (except one on antihypertensive medication), had no physical or cognitive impairments, had a BMI less than 30 kg/m2, and were not professional athletes.

2019-11-14 | PXD011967 | Pride

Maternal Weight Phenotype as a Predictor of Methylation of Obesity-Related CpG Sites in Saliva Samples from Latino Children

Project description:Epigenetics presents a dynamic approach to assess complex individual variation in obesity susceptibility. However, few studies have examined epigenetic patterns in preschool-age children, despite the relevance of this developmental stage to trajectories of weight gain, because of difficulties obtaining blood tissue samples. This proof of principle study examined DNA methylation in 92 saliva samples, comparing Latino preschool children of normal weight mothers (Body Mass Index [BMI] <27 kg/m2 and WC <90 cm) to children of obese mothers (BMI >30 kg/m2 and WC >100 cm). We hypothesized that salivary DNA methylation patterns in Latino preschool age children born of normal weight vs obese weight mothers would be: 1) associated with maternal BMI phenotype in continuous linear regression analysis; 2) saliva could demonstrate epigenetic variation across individuals; and 3) preschool child saliva would be differentially methylated when comparing those children with obese versus normal weight mothers. One hundred and nineteen CpG sites were significantly (p-value <1.56 X 10-5, p-value adjusted <.05) associated with maternal BMI in linear regression models controlling for child’s age, gender, and BMI. Of these 119 CpG sites, 41 were found within the transcription start site, 5’ UTR, 3’ UTR, or another regulatory region outside of the gene body. Saliva, a practical human tissue to obtain in naturalistic settings and in pediatric populations, was confirmed to be a viable medium for genome-wide epigenetic testing with maternal weight. Although not identical to results yielded from other human tissue types (i.e., cord blood samples), saliva findings indicate potential epigenetic differences in Latino preschool children at risk for pediatric obesity.

2016-02-25 | GSE72556 | GEO

Potential Epigenetic Biomarkers of Obesity Related Insulin Resistance in Human Whole Blood

Project description:Obesity is a critical health concern, and identifying new biomarkers has become essential for better understanding the progression to disease such as type 2 diabetes. DNA methylation has become a useful epigenetic biomarker in part due to its susceptibility to disease influence. Detecting methylation changes in blood is important as it is an easily accessible, compared to the insulin responsive tissue skeletal muscle. The aim of our study was to identify methylation changes in whole blood that were strongly associated with obesity associated insulin resistance. Whole blood was obtained from lean (n=10; BMI= 23.6±0.7 kg/m2) and obese (n=10; BMI= 34.4±1.3 kg/m2) participants in combination with euglycemic hyperinsulinemic clamps to assess insulin sensitivity. We performed the next generation technique, reduced representation bisulfite sequencing (RRBS) on isolated genomic DNA. There were 49 significantly altered differentially methylated cytosines (DMCs; q<0.05). Of these, solute carrier family 19 member 1 (SLC19A1) was also identified using a differentially methylated region approach. The sites for this gene were significantly correlated (P<0.05) with body mass index, body fat percent, and the clamp Rd. Moreover, the decrease in SLC19A1 methylation was similar to the change previously found in skeletal muscle. Pyrosequencing confirmed the changes in methylation at Chr.21:46,957,915 in both tissues. These results demonstrate that the methylation status of SLC19A1 provides a new potential epigenetic biomarker for obesity related insulin resistance.

2016-10-01 | GSE85928 | GEO

Human islet sample RNA-seq

Project description:This collection represents whole transcriptome data on human islets.. From this collection of human islets RNA-seq data we aim to identify the difference between gender, age, body mass index (BMI) at a transcriptomic level.

2021-12-08 | GSE152111 | GEO

microRNA expression analysis of circulating monocytes in obese patients

Project description:Low-grade chronic inflammation plays an important role in the development of obesity and obesity-associated disorders such as insulin resistance, type 2 diabetes, the metabolic syndrome and atherosclerosis. One possible link between obesity and inflammation is the enhanced activation of circulating monocytes making them more prone to infiltration into the adipose and vascular tissues of obese persons. microRNAs are a class of small endogenous non-coding RNAs, which function as important regulators of inflammation by modulating gene expression. Therefore, microRNA analysis of circulating monocytes from control and obese patients will potentially provide insights into the pathophysiology of obesity and associated disorders and supply biomarkers for diagnostic purpose. The cohort comprised 6 lean age-matched controls (BMI: 20±0.8 kg/m2, mean±SEM) and 9 obese individuals without clinical symptoms of cardiovascular disease (BMI: 46±1.5 kg/m2, P<0.001 compared with lean controls). CD14+ monocytes were collected, total RNA was extracted and subjected to microRNA expression analysis. Samples consisted of CD14+ monocytes from 6 lean controls and 9 morbidly obese patients.

2012-05-17 | E-GEOD-34223 | biostudies-arrayexpress

Whole tissue mRNA expression from severely obese individuals: subcutaneous and visceral adipose tissues

Project description:Subcutaneous adipose tissue and visceral adipose tissue samples were obtained from severely obese individuals that underwent bariatric surgery. The goal of this study was to compare genome-wide gene expression levels in the two tissue types from healthy and unhealthy severely obese individuals. Whole-transcriptome subcutaneous adipose tissue gene expression levels were determined in 73 individuals with a BMI >35 kg/m2. Whole-transcriptome visceral adipose tissue gene expression levels were determined in 69 individuals with a BMI >35 kg/m2. Modules of co-expressed genes likely to be functionally related were identfied and correlated with BMI, plasma levels of glucose, insulin, HbA1c, triglycerides, non-esterified fatty acids, ALAT, ASAT, C-reactive protein, and LDL- and HDL cholesterol.

2010-06-03 | GSE22070 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data