Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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: Rita Singh

PROVIDER: E-GEOD-34526 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

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

<h4>Context</h4>Polycystic ovary syndrome (PCOS) is a heterogeneous, genetically complex, endocrine disorder of uncertain etiology in women.<h4>Objective</h4>Our aim was to compare the gene expression profiles in stimulated granulosa cells of PCOS women with and without insulin resistance vs. matched controls.<h4>Research design and methods</h4>This study included 12 normal ovulatory women (controls), 12 women with PCOS without evidence for insulin resistance (PCOS non-IR), and 16 women with ins ...[more]

PMID: 22904171

Similar Datasets

Expression data from human cumulus cells isolated from oocytes at MI and MII stages in polycystic ovary syndrome (PCOS) patients

Project description:Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder that is characterized by increased circulating androgen levels, anovulatory infertility, and frequently, insulin resistance and hyperinsulinemia.The abnormity of oocyte nuclear maturity is the main reason for anovulatory infertility and pregnancy loss in PCOS patients.The bidirectional exchanges between oocyte and contiguous CCs are important for oocyte competence acquisition, early embryonic development and CC expansion.Gene expression profiles of CCs has been suggested to predict embryo development and pregnancy outcome. We used microarrays to detail the global programme of gene expression of CCs isolated from oocytes at metaphase I (CCMI) and metaphase II (CCMII) stage under controlled ovarian stimulation (COS) cycle in PCOS patients. Cumulus cells were isolated from oocyte at stage metaphase 1(MI)and stage metaphase II (MII) of PCOS patients for RNA extraction and hybridization on Affymetrix microarrays. For microarray analysis, we used three chips for each CC category. That is, CCMI1,CCMI2,CCMI3,CCMII1,CCMII2 and CCMII3.

2013-06-05 | E-GEOD-40400 | biostudies-arrayexpress

Altered microRNA profiles in cumulus cells isolated from PCOS patients

Project description:To identify the altered miRNA expression profiles of PCOS patients, the differentially expressed miRNAs were identified from cumulus cells of PCOS patients by comparing to that of normal women. Case-control study that involved 18 women with PCOS and 18 women without PCOS (control). The miRNA expression profiles of cumulus cells were identified by miRNA array.

2016-06-01 | E-GEOD-72274 | biostudies-arrayexpress

Proteomic analysis of follicular fluid of Patients with Polycystic Ovary Syndrome

Project description:Polycystic ovary syndrome (PCOS) is a common disorder encompassing reproductive, metabolic, and endocrine abnormalities, affecting 5 to 10% of women of reproductive age.To reveal the differences in proteomic profiles of follicular fluid between patients with and without PCOS and explore possible mechanisms underlying PCOS.Follicular fluid samples were collected from 9 infertile patients with PCOS and 9 infertile patients without PCOS. Quantitative proteomics analysis based on mass spectrometry was used to measure the protein levels and understand the protein networks. The tandem mass tag (TMT) based proteomics technology and bioinformatics analysis were used to determine the differentially expressed proteins(DEPs). : In this study, we have identified a total of 1216 proteins,these included 70 DEPs, in which 32 proteins were upregulated, and 38 proteins were downregulated. The bioinformatics analyses revealed multiple biological functions associated with these DEPs, some DEPs were enriched in the immune and metabolic-related biological processes in PCOS patients.

2022-10-14 | PXD031996 | Pride

Quantitative mass spectrometric analysis to unravel glycoproteomic signature of follicular fluid in women with polycystic ovary syndrome

Project description:Polycystic ovary syndrome (PCOS) is a complex endocrinopathy affecting reproductive aged women, whose etiology has not been fully understood yet. The follicular growth is arrested at preantral stage leading to cyst formation, consequently resulting in anovulatory infertility in these women. As follicular fluid provides the microenvironment for the growing oocyte, molecular profiling of the fluid may provide unique information about pathophysiology associated with follicular development in PCOS. Modification with oligosaccharide chains are known to influence functions of several secreted proteins and these glycoproteins also play a role in disease pathology. The glycoproteomic profile of follicular fluid of PCOS has not been explored in PCOS yet. In the present study, we performed comparative glycoproteomic analysis by first enriching glycoproteins using three different lectins viz. concanavalin A, wheat germ agglutinin and Jacalin from follicular fluid of women with PCOS and controls undergoing in vitro fertilization. Peptides generated by trypsin digestion were labeled with isobaric tags for relative and absolute quantification reagents and analyzed by liquid chromatography tandem mass spectrometry. We identified 10 differentially expressed glycoproteins, in the follicular fluid of women with PCOS compared to control. Two important differentially expressed proteins- SERPINA1 and ITIH4, were consistently upregulated and downregulated respectively, upon validation by Western blotting in follicular fluid and real-time polymerase chain reaction in granulosa cells. These proteins play a role in angiogenesis and extracellular matrix stabilization which are vital for follicle maturation. In conclusion, comparative glycoprotein profiling of follicular fluid from women with PCOS and controls revealed altered expression of proteins which may contribute to defects in follicle development in PCOS pathophysiology.

2019-03-22 | PXD012731 | Pride

Superior metabolic improvement of polycystic ovary syndrome traits after GLP1-based multi-agonist therapy

Project description:Polycystic ovary syndrome (PCOS) is a heterogeneous condition, of polyhedric pathogenesis and clinical presentation, defined by oligo-/anovulation, hyperandrogenism and/or polycystic ovaries. Metabolic complications are highly common also in patients suffering PCOS, including obesity, insulin resistance and type-2 diabetes, which severely compromise the clinical course of affected women. Yet, therapeutic options for PCOS remain mostly symptomatic and of limited efficacy for improving both metabolic and reproductive alterations. We report herein the hormonal, metabolic and gonadal responses to different GLP1-based multi-agonists, namely GLP1/Estrogen (GLP1/E), GLP1/GIP and GLP1/GIP/Glucagon, in two murine models of PCOS, with variable penetrance of metabolic and reproductive traits, and their comparison with metformin. Our data illustrate the superior efficacy of the di-agonist, GLP1/E, vs. other multi-agonists and metformin in the management of the metabolic complications of PCOS; GLP1/E was able to ameliorate also ovarian cyclicity in an ovulatory model of PCOS, without direct estrogenic uterotrophic effects. In keeping with GLP1-mediated brain targeting, label-free, quantitative proteomics revealed changes in common and distinct hypothalamic pathways in response to GLP1/E between the two PCOS models, as basis for differential efficiency. Altogether, our data set the basis for the use of GLP1-based multi-agonists, and particularly GLP1/E, in the personalized management of PCOS.

2024-10-02 | PXD044134 | Pride

Genome-wide methylation profiling in granulosa lutein cells of women with polycystic ovary syndrome (PCOS)

Project description:Our study is based on the hypothesis that PCOS can be explained by an integrated, epigenetic model, whereby environmental factors modify the effect of susceptibility genes and influence the clinical heterogeneity that is characteristic of the syndrome during adult life. With the aim to understand the molecular mechanisms underlying PCOS, we report results from a case-control, genome-wide methylation study using human DNA from granulosa lutein cells.

2019-03-01 | E-MTAB-6672 | biostudies-arrayexpress

Peptidomic analysis of follicular fluid in patients with polycystic ovarian syndrome

Project description:The aim of this study was to analyze and compare the differential expression of peptides within the follicular fluid of polycystic ovary syndrome (PCOS) patients versus normal women by using peptidomics techniques. The underlying mechanisms involved in PCOS pathogenesis will be explored, together with screening and identification of potential functional peptides via bioinformatics analysis.

2023-10-27 | PXD045753 | Pride

Different gene expression profiles of granulosa cells in Chinese obese patients with or without polycystic ovary syndrome

Project description:Obese or polycystic ovary syndrome (PCOS) women have encountered poor reproductive outcomes in natural as well as assisted conception. Furthermore, pregnancy complications of women with PCOS are profoundly worsened by obesity. Both obesity and PCOS affect function of granulosa cells, which is essential in offering the oocyte with nutrients and growth regulators.

2021-04-14 | GSE80432 | GEO

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

Project description: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.

2012-11-06 | GSE34526 | GEO

scAT gene expression from women with PCOS following LC n-3 PUFA or placebo supplementation

Project description:Gene expresion profiles from the scAT following 6 week LC n-3 PUFA and 6 week placebo supplementation were compared Women with PCOS were supplemented with 4g n-3 PUFA (containing 1.8g EPA and DHA) daily for 6 weeks and changes in subcutaneous adipose tissue gene expression was compared with 6 week placebo supplementation. This was a cross-over placebo, controlled dietary intervention wherein women with PCOS received both treatments.

2014-01-03 | E-GEOD-43266 | biostudies-arrayexpress

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