Genome wide methylation of subcutaneous adipose tissue collected from women with polycystic ovary syndrome (PCOS) and healthy controls.
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Michelle Jones
PROVIDER: E-MTAB-3777 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Subcutaneous adipose tissue was collected from 23 PCOS cases and 13 healthy controls, and snap frozen in LN2 at collection. DNA and RNA was extracted and stored. Gene expression arrays were run in all samples.
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Project description:Why ~70% of women with polycystic ovary syndrome (PCOS) have intrinsic insulin resistance (IR), above and beyond that associated with body mass, including dysfunctional glucose metabolism in adipose tissue (AT), remains a fundamental question. In these experiments, we sought to explore the role of miRNAs in the AT of PCOS and matched controls. Analysis determined that PCOS AT has a differentially expressed miRNA profile, including upregulated miR-93. We observed a significant association between HOMA-IR, and GLUT4 and miR-93 expression in human AT. Our results point to a novel mechanism for regulating insulin-stimulated glucose uptake via miR-93, and demonstrate upregulated miR-93 expression in PCOS, possibly accounting for the IR of the syndrome, and also in non-PCOS women with IR. We performed miRNA microarrays to determine PCOS-related miRNA expression in adipose derived from lean PCOS patients and matched control women. We analyized miRNA from total RNA extracted from subcutaneous (sc) adipose tissue from three lean PCOS patients and three matched control women.
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Project description:The tissue stroma plays a major role in tumors natural history. Important programs for tumor progression such as epithelial mesenchymal transition are not activated as cell-autonomous processes but under the conditions of cross-talk between tumor and stroma. Adipose tissue is a major component of the stroma and, because of their extended half-life, adipocytes are witnesses of tissue exposures. This study compares breast fat in women with breast tumors to those in healthy women to try to define a signature that could be translated into biomarkers for cancer and / or cancer risk. In the tumor-bearing breasts, we sampled adipose tissues adjacent to or distant from the tumor. Parameters studied include: adipocytes size and density; immune cells infiltration, vascularization, functional excretion and gene expression. Adipose tissues from tumor-bearing breasts whether adjacent to or distant from the tumor, did not differ from each other by any of these parameters. By contrast, when compared to adipose tissues from tumor-free breasts, tissues from tumor-bearing breasts displayed functional characteristics pointing to some sort of \\"activation\\". They have the capacity to excrete twice as much of interleukin 8 (p=0.001) and they differentially express a set of around 200 genes, at a threshold of p-value 0.001, of which many belong to inflammation mediated by chemokine and cytokine signaling and integrin signaling pathways. The presence of mast cells appears as a strong predictor of IL-8 secretion capacity (Log2 scale p = 0.002). Therefore, breast fat tissues from breast cancer patients have distinct functional and expression profiles. Although a dialogue effect with the tumor cannot be ruled out, it is also possible that this status is individually defined thus determining the constitutive permissiveness of the tissue for the development of cancer. The activation of pathways that was observed could potentially be translated into biomarkers or therapeutic targets. This transcriptomic analysis has been performed on two types of samples at short and long distances from the tumour in comparison with samples from normal tissues on Illumina beadarrays.
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Project description:Impaired ability of insulin to stimulate cellular glucose uptake and regulate metabolism, that is insulin resistance (IR), links adiposity to metabolic disorders such as type 2 diabetes (T2D), dyslipidemia and cardiovascular disease (Langenberg, 2012). Both genetic and epigenetic factors are implicated in development of systemic IR (Vaag, 2001). IR is characterized by elevated levels of fasting insulin in the general circulation. The aim of this study is to explore whether white adipose tissue (WAT) epigenetic dysregulation is associated with systemic IR by global CpG methylation and gene expression profiling in subcutaneous and visceral adipose tissue. A secondary aim is to determine whether the DNA methylation signature in peripheral blood mononuclear cells reflect WAT methylation, and can be used as marker for systemic IR. DNA methylation was analyzed in DNA extracted from SAT (subcutaneous adipose tissue) and VAT (visceral adipose tissue) pieces, as well as PBMCs (peripheral blood mononuclear cells), using the Infinium Human Methylation 450 BeadChip assay. This data is from SAT.
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Project description:Impaired ability of insulin to stimulate cellular glucose uptake and regulate metabolism, that is insulin resistance (IR), links adiposity to metabolic disorders such as type 2 diabetes (T2D), dyslipidemia and cardiovascular disease (Langenberg, 2012). Both genetic and epigenetic factors are implicated in development of systemic IR (Vaag, 2001). IR is characterized by elevated levels of fasting insulin in the general circulation. The aim of this study is to explore whether white adipose tissue (WAT) epigenetic dysregulation is associated with systemic IR by global CpG methylation and gene expression profiling in subcutaneous and visceral adipose tissue. A secondary aim is to determine whether the DNA methylation signature in peripheral blood mononuclear cells reflect WAT methylation, and can be used as marker for systemic IR. DNA methylation was analyzed in DNA extracted from SAT (subcutaneous adipose tissue) and VAT (visceral adipose tissue) pieces, as well as PBMCs (peripheral blood mononuclear cells), using the Infinium Human Methylation 450 BeadChip assay. This data is from VAT (omental).
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Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
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