Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Immune dysfunction mediated by the competitive endogenous RNA network in fetal side placental tissue of polycystic ovary syndrome

ABSTRACT: Immune dysfunction mediated by the competitive endogenous RNA network in fetal side placental tissue of polycystic ovary syndrome

PROVIDER: PRJNA1049348 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR27109000.fastq.gz	Fastqsanger.gz
	SRR27109001.fastq.gz	Fastqsanger.gz
	SRR27108982_1.fastq.gz	Fastqsanger.gz
	SRR27108982_2.fastq.gz	Fastqsanger.gz
	SRR27108983_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 30

Similar Datasets

Immune dysfunction mediated by the competitive endogenous RNA network in fetal side placental tissue of polycystic ovary syndrome

Project description:Polycystic ovary syndrome (PCOS) is a commonly occurring endocrine and metabolic disorder that impacts women in their reproductive years. Emerging evidence suggests that the maternal-fetal immune system is crucial for proper pregnancy. However, whether immune function is altered during pregnancy in PCOS women and the underlying molecular mechanisms is currently unexplored. Herein, the basic maternal immune system was investigated (n = 136 in the control group; n = 103 in the PCOS group), and whole-transcriptome sequencing was carried out to quantify the mRNAs, miRNAs, and lncRNAs expression levels in fetal side placental tissue of women with PCOS. GO, KEGG, and GSEA analysis were employed for functional enrichment analysis. The process of identifying hub genes was conducted utilizing the PPI network. CIBERSORT and Connectivity Map were deployed to determine immune cell infiltration and predict potential drugs, respectively. A network of mRNA-miRNA-lncRNA was constructed and then validated by qRT-PCR.

2024-03-02 | GSE249470 | GEO

GWAS of Polycystic Ovary Syndrome Phenotypes

Project description:GWAS of Polycystic Ovary Syndrome Phenotypes

| PRJNA75733 | 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 |

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

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

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

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

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

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