Dataset Information


Differential Gene Expression in Granulosa Cells from Polycystic Ovary Syndrome Patients with and without Insulin Resistance: Identification of Susceptibility Gene Sets through Network Analysis

ABSTRACT: Polycystic ovary Syndrome (PCOS) is a heterogeneous endocrine disorder that shows evidence of genetic predidposition among affected individuals. We have utilized the Microarray data from granulosa cells of normal and PCOS women for network construction. Human granulosa cells were isolated from ovarian aspirates from normal and PCOS women undergoing IVF and for each sample, RNA was extracted and hybridized to an Affymetrix GeneChip.

ORGANISM(S): Homo sapiens  

SUBMITTER: Kellie J Archer   Rita Singh  Surleen Kaur  Jerome F Strauss  Alka Kriplani  M G Devi 

PROVIDER: E-GEOD-34526 | ArrayExpress | 2012-11-06



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Differential gene expression in granulosa cells from polycystic ovary syndrome patients with and without insulin resistance: identification of susceptibility gene sets through network analysis.

Kaur Surleen S   Archer Kellie J KJ   Devi M Gouri MG   Kriplani Alka A   Strauss Jerome F JF   Singh Rita R  

The Journal of clinical endocrinology and metabolism 20120817 10

Polycystic ovary syndrome (PCOS) is a heterogeneous, genetically complex, endocrine disorder of uncertain etiology in women.Our aim was to compare the gene expression profiles in stimulated granulosa cells of PCOS women with and without insulin resistance vs. matched controls.This study included 12 normal ovulatory women (controls), 12 women with PCOS without evidence for insulin resistance (PCOS non-IR), and 16 women with insulin resistance (PCOS-IR) undergoing in vitro fertilization. Granulosa  ...[more]

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