Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

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

PROVIDER: PRJNA606756 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

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

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

Project description: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.

2021-07-01 | GSE142819 | 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

Transcriptome Profiling Reveals the key genes and pathways involved in polycystic ovary syndrome [RNA-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 key genes and pathways involved in polycystic ovary syndrome(PCOS). Our study helps to understand the molecular pathogenesis of PCOS in human ovarian granulosa cells and identifiy genes and pathways that may be potential therapeutic targets for PCOS treatment..

2019-10-08 | GSE138518 | GEO

GWAS of Polycystic Ovary Syndrome Phenotypes

Project description:GWAS of Polycystic Ovary Syndrome Phenotypes

| PRJNA75733 | ENA

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

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

| PRJNA598459 | ENA

Coding and Non-coding gene expression signatures of endometrium from Polycystic Ovary Syndrome Patients

Project description:Polycystic ovary syndrome (PCOS), one of the most common endocrinal diseases among reproductive-aged women, is characterized by hyperandrogenemia, chronic oligo/anovulation and polycystic ovarian morphology. In this research, we presented microarrays to identify the differential expressed protein-coding genes and lncRNAs expression profile in the endometrium during the window of implantation between the PCOS and healthy subjects.

2019-09-13 | GSE137354 | GEO

Coding and Non-coding gene expression signatures of granulosa cells from Polycystic Ovary Syndrome Patients

Project description:Polycystic ovary syndrome (PCOS), one of the most common endocrinal diseases among reproductive-aged women,is characterized by hyperandrogenemia, chronic oligo/anovulation and polycystic ovarian morphology. In this research, we presented microarrays to identify the differential expressed protein-coding genes and lncRNAs expression profile in the luteinized granulosa cells obtained from PCOS and healthy control patients.

2018-10-30 | GSE114419 | GEO

Proteomics study of endometrium in patients with polycystic ovary syndrome

Project description:Proteomics study of endometrium in patients with polycystic ovary syndrome

2022-03-16 | PXD032383 |

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.

2013-11-22 | GSE52422 | 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