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Gene Expression Data of Adipose Stem Cells from Normal-Weight Polycystic Ovary Syndrome Women vs. Controls

ABSTRACT: Gene Expression Data of Adipose Stem Cells from Normal-Weight Polycystic Ovary Syndrome Women vs. Controls

PROVIDER: PRJNA516631 | ENA |

REPOSITORIES: ENA

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Gene Expression Data of Adipose Stem Cells from Normal-Weight Polycystic Ovary Syndrome Women vs. Controls

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RNA-seq Data of Newly-Formed Adipocytes from Adipose Stem Cells of Normal-Weight Polycystic Ovary Syndrome Women vs. Controls

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Expression data from subcutaneous adipose tissue of lean polycystic ovary syndrome (PCOS) and normoandrogenic women

Project description:Lean polycystic ovary syndrome (PCOS) women have a greater proportion of android (abdominal) fat, increased numbers of small subcutaneous (SC) abdominal adipocytes and preferential intra-abdominal fat accumulation. This study examines whether abnormal gene expression of SC abdominal adipose stem cells (ASCs) from lean PCOS women underlies this altered abdominal adipose structure-function. In this dataset, we include the expression data obtained from PCOS and NL subcutaneous adipose tissue. Differential expression of at least 1.5-fold change (P<0.05) were obtained in 120 genes (48 upregulated, 72 downregulated) of SC abdominal ASCs from PCOS versus NL women

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RNA-seq Data of Newly-Formed Adipocytes from Adipose Stem Cells of Normal-Weight Polycystic Ovary Syndrome Women vs. Controls

Project description:RNA-seq Data of Newly-Formed Adipocytes from Adipose Stem Cells of Normal-Weight Polycystic Ovary Syndrome Women vs. Controls

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Analysis of plasma proteome of pregnant women with polycystic ovary syndrome (PCOS

Project description:Polycystic ovary syndrome (PCOS) is the most common endocrinological disorder of fertile-aged women. PCOS has been associated with adverse pregnancy outcomes and abnormalities of the placenta. By taking a quantitative label-free quantitative proteomics approach we set out to investigate if changes in the plasma proteome of pregnant women with PCOS could elucidate the mechanisms behind the pathologies observed in PCOS pregnancies. We have performed label-free quantitative proteomics on plasma samples from pregnant women with PCOS at term (n=14) and plasma samples from pregnant control women (n = 23) matched for age, gestational length and BMI. The samples are derived from BASIC pregnancy cohort from Uppsala, Sweden. A total of 169 proteins with two or more unique peptides were identified.

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Transcription profiling of human omental adipose tissue in women with polycystic ovary syndrome (PCOS)

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