Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression profile of plasma exosomal microRNAs in women with polycystic ovary syndrome and control women

ABSTRACT: Polycystic ovary syndrome (PCOS) is a highly prevalent endocrine-metabolic disorder. Epigenetic etiology is suggested to play an important role in PCOS pathogenesis, since it is hard to elucidate completely by genetic variations. Exosomal microRNAs (miRNAs) have recently been identified as a novel mechanism of intercellular communication, and a more stable regulator of gene expression compared with free miRNAs. The aim of this study is to detect the different expression profile of plasma exosomal miRNAs between PCOS patients and healthy controls.

ORGANISM(S): Homo sapiens

PROVIDER: GSE142819 | GEO | 2021/07/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Identification of exosomal miRNAs specifically derived from intrafollicular cells involved in polycystic ovary syndrome

Project description:Exosomes have recently been shown to play a key role in cell-to-cell communication through delivery of various functional content, including microRNAs (miRNAs). We investigated the potential roles of exosomal miRNA derived intrafollicular cells in polycystic ovary syndrome (PCOS). Using microarray profiling, a total of 492 miRNAs and 220 miRNAs were found in follicular fluid-derived exosomes and serum-derived exosomes, respectively, in PCOS and non-PCOS females. By excluding miRNAs existing in serum-derived exosomes, we found 179 miRNAs which were specifically expressed in follicular fluid-derived exosomes both in PCOS and non-PCOS females. Using microarray profiling, a total of 492 miRNAs and 220 miRNAs were found in follicular fluid-derived exosomes and serum-derived exosomes, respectively, in PCOS and non-PCOS females. By excluding miRNAs existing in serum-derived exosomes, we found 179 miRNAs which were specifically expressed in follicular fluid-derived exosomes both in PCOS and non-PCOS females.

2022-02-01 | GSE145318 | GEO

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.

2019-11-25 | PXD012034 | Pride

Multiomics analysis reveals molecular abnormalities in granulosa cells of women with polycystic ovary syndrome

Project description:Polycystic ovary syndrome (PCOS) is the most common complex endocrine and metabolic disease in women of reproductive age. It is characterized by anovulatory infertility, hormone disorders, and polycystic ovarian morphology. Regarding the importance of granulosa cells (GCs) in the pathogenesis of PCOS, few studies have investigated the etiology at a single “omics” level, such as with an mRNA expression array or methylation profiling assay, but this can provide only limited insights into the biological mechanisms. Here, genome-wide DNA methylation together with lncRNA-miRNA-mRNA profiles were simultaneously detected in GCs of PCOS cases and controls. A total of 3579 lncRNAs, 49 miRNAs, 669 mRNAs, and 890 differentially methylated regions (DMR)-associated genes were differentially expressed between PCOS cases and controls. Pathway analysis indicated that these differentially expressed genes were commonly associated with steroid biosynthesis and metabolism-related signaling, such as glycolysis/gluconeogenesis. In addition, we constructed ceRNA networks and identified some known ceRNA axes, such as lncRNAs-miR-628-5p-CYP11A1/HSD17B7. We also identified many new ceRNA axes, such as lncRNAs-miR-483-5p-GOT2. Interestingly, most ceRNA axes were also closely related to steroid biosynthesis and metabolic pathways. These findings suggest that it is important to systematically consider the role of reproductive and metabolic genes in the pathogenesis of PCOS.

2021-03-08 | GSE168404 | GEO

Identification of microRNAs involved in polycystic ovary syndrome based on High-throughput sequencing [miRNA-seq]

Project description:Aberration in miRNA expression or DNA methylation is a causal factor for numerous pathological conditions including polycystic ovarian syndrome PCOS, a common endocrine disorders and leading cause of infertility. The epigenetic interactions between miRNA and DNA methylation remain unexplored in PCOS. Few studies have reported that the regulation of miRNAs in polycystic ovary syndrome(PCOS). Our study helps to understand the molecular pathogenesis of PCOS in human ovarian granulosa cells from the perspective of post-transcriptional level.

2019-10-09 | GSE138572 | GEO

Transcription profiling of human theca cells from women with polycystic ovary syndrome and normal theca cells treated with valproate

Project description:Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder that affects 5-10% of reproductive aged women. The hallmark characteristic of PCOS is increased ovarian androgen synthesis. Previous studies by our laboratory demonstrated that increased androgen synthesis is a stable biochemical phenotype of PCOS theca cells which are the primary source of ovarian androgen production. The increase in theca cell steroidogenesis was due to an increase in expression of several steroidogenic enzymes including CYP17 and CYP11A but not StAR. Interestingly, the anti-epileptic drug valproic acid induces increased theca cell androgen synthesis and increased CYP17 and CYP11A mRNA levels. In this study we have characterized the gene expression profiles of theca cells obtained from normal or polycystic ovaries which were maintained in the absence (UNT) or presence (VPA) of valproic acid. The data identifed new candidate genes and novel signaling pathways which may contribute to the manifestation of PCOS phenotypes including increased androgen production. The experiments in this study were carried using the Affymetrix U133A and U133B oligonucleotide chips.

2007-08-13 | E-GEOD-1615 | biostudies-arrayexpress

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

Project description:In vitro studies of subcutaneous (SC) abdominal adipose stem cells (ASC) from women with polycystic ovary syndrome (PCOS) show altered ASC commitment to preadipocytes and differentiation to mature adipocytes related to hyperandrogenism. The goal of the study is to use microarrays to examine whether SC abdominal ASC gene expression are altered in normal-weight PCOS women and correlated with hyperandrogenemia and/or insulin resistance, which are prevalent clinical pathologies of PCOS.

2019-01-24 | GSE124226 | GEO

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

2017-05-03 | GSE98421 | GEO

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

Project description:CONTEXT: The polycystic ovary syndrome (PCOS) is frequently associated with visceral obesity, suggesting that omental adipose tissue might play an important role in the pathogenesis of the syndrome. OBJECTIVE: The objective was to study the expression profiles of omental fat biopsy samples obtained from morbidly obese women with or without PCOS at the time of bariatric surgery. DESIGN: This was a case-control study. SETTINGS: We conducted the study in an academic hospital. PATIENTS: Eight PCOS patients and seven nonhyperandrogenic women submitted to bariatric surgery because of morbid obesity. INTERVENTIONS: Biopsy samples of omental fat were obtained during bariatric surgery. MAIN OUTCOME MEASURE: The main outcome measure was high-density oligonucleotide arrays. RESULTS: After statistical analysis, we identified changes in the expression patterns of 63 genes between PCOS and control samples. Gene classification was assessed through data mining of Gene Ontology annotations and cluster analysis of dysregulated genes between both groups. These methods highlighted abnormal expression of genes encoding certain components of several biological pathways related to insulin signaling and Wnt signaling, oxidative stress, inflammation, immune function, and lipid metabolism, as well as other genes previously related to PCOS or to the metabolic syndrome. CONCLUSION: The differences in the gene expression profiles in visceral adipose tissue of PCOS patients compared with nonhyperandrogenic women involve multiple genes related to several biological pathways, suggesting that the involvement of abdominal obesity in the pathogenesis of PCOS is more ample than previously thought and is not restricted to the induction of insulin resistance.

2007-10-26 | E-GEOD-5090 | biostudies-arrayexpress

Differential genes in adipocytes induced from polycystic ovary syndrome-derived and non- polycystic ovary syndrome-derived human embryonic stem cells

Project description:To explore the molecular mechanisms of obesity and insulin resistance in the patients with polycystic ovary syndrome (PCOS) at the level of human embryonic stem cells (hESCs).Three PCOS-derived and one non-PCOS-derived hESC lines were induced into adipocytes, and then total mRNA was extracted from these adipocytes. The differential genes between PCOS-derived and non-PCOS-derived adipocytes were identified with GeneChip, and then were validated with real-time PCR.There were 153 differential genes. Of the 153 genes, 91 genes were up-regulated and 62 down-regulated. Nuclear receptor subfamily 0, group B, member 2 (NR0B2) was an up-regulated gene, and GeneChip software system indicated that it was associated with obesity and diabetes. Three PCOS-derived and one non-PCOS-derived hESC lines were induced into adipocytes, and then total mRNA was extracted from these adipocytes. The differential genes between PCOS-derived and non-PCOS-derived adipocytes were identified with GeneChip, and then were validated with real-time PCR.

2013-11-22 | E-GEOD-52422 | biostudies-arrayexpress

Whole genomic DNA methylation analysis across human polycystic ovary syndrome ovary granulosa cells [MBD-seq]

Project description:Aberration in miRNA expression or DNA methylation is a causal factor for numerous pathological conditions including polycystic ovarian syndrome PCOS, a common endocrine disorders and leading cause of infertility. The epigenetic interactions between miRNA and DNA methylation remain unexplored in PCOS. Our study identifies epigenetic alternation in ovarian granulosa cells from PCOS patients and helps to reveal the pathogenesis of PCOS.

2019-10-09 | GSE138573 | GEO

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