Gene Expression Profiling On Insulin Resistance And Obesity

我们正在进行全球外显子表达谱分析，以补充正在进行的确定糖尿病及其预测因子、胰岛素抵抗、胰岛素分泌功能障碍和肥胖的易感基因的工作。为此，我们正在使用Affymetrix外显子阵列检查非糖尿病纯血统皮马印第安人组织样本中的外显子表达谱，该阵列查询了整个基因组中超过100万个已知和预测的外显子。

We are performing global exon expression profiling to complement the ongoing effort to identify susceptibility genes for diabetes and its predictors, insulin resistance, insulin secertory dysfunction and obesity. To this end, we are examining exon expression profiles in tissue samples from non-diabetic full-blooded Pima Indians using Affymetrix exon arrys that query over 1 million known and predicted exons across the entire genome. We have collected 225 skeletal muscle tissue samples and 250 adipose tissue samples from non-diabetic Pima Indians who have been metabolically phenotyped for body composition and insulin action in vivo using the hyperinsulinemic euglycemic clamp. Follow up data is available on the diabtic status of most of these volunteers, up to 7-10 years later, so will be able to identify a prediabtic exon expression profile in this population. We have completed the exon arrays on all skeletal muscle and adipose tissue samples and are currently analyzing these data and comparing to genotypic data collected on many of the subjects from our genome-wide association study using single nucleotide polymorphisms as well as from exome and whole-genome sequencing. Initial analyses have identified signifigant associations between cis-acting sinlge nucleotide polymorphisms and levels of transcript expression in muscle and/or adipose tissue.