Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MiRNA expression profiles in endometriotic cyst stromal cells (ECSCs).

ABSTRACT: To identify the miRNAs which play a role in the development of endometriosis, we explored differentially expressed miRNAs between ECSCs (N=8) and normal endometrial stromal cells (NESCs, n=8) using miRNA microarray. The expression profiles in ECSCs and NESCs were obtained, then the miRNAs were filtered by signal intensity (20.0<, at least one out of 16 samples have values within range) and flags (at least 70% of cases have good flags). The differentially expressed miRNAs in ECSCs compared with NESCs were identified using volcano plot (Fold change >= 2.0, Mann-Whiteny U test p<0.05).

ORGANISM(S): Homo sapiens

PROVIDER: GSE40186 | GEO | 2013/02/06

SECONDARY ACCESSION(S): PRJNA173037

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

miRNA expression profiles in endometriotic cyst stromal cells (ECSCs).

Project description:To identify the miRNAs which play a role in the development of endometriosis, we explored differentially expressed miRNAs between ECSCs (N=8) and normal endometrial stromal cells (NESCs, n=8) using miRNA microarray. The expression profiles in ECSCs and NESCs were obtained, then the miRNAs were filtered by signal intensity (20.0<, at least one out of 16 samples have values within range) and flags (at least 70% of cases have good flags). The differentially expressed miRNAs in ECSCs compared with NESCs were identified using volcano plot (Fold change >= 2.0, Mann-Whiteny U test p<0.05). The primary culture of ECSCs and NESCs (controls) were utilized. Total RNA was extracted from them, and miRNA microarray analysis was performed. The miRNAs differentially expressed between ECSCs and NESCs were identified, and aberrantly expressed miRNAs in ECSCs were defined as the endometriosis related miRNAs.

2013-02-06 | E-GEOD-40186 | biostudies-arrayexpress

miRNA expression profiles in decidualized and non-decidualized endometriotic cyst stromal cells (ECSCs).

Project description:To identify the miRNAs which regulate the decidualization of ECSCs, we explored differentially expressed miRNAs between untreated ECSCs (n=4) and decidualized ECSCs (n=4) using miRNA microarray. The miRNA expression profiles in untreated ECSCs and decidualized ECSCs were obtained, then the miRNAs were filtered by signal intensity (50.0<, at least one out of 8 samples have values within range) and flags (at least 17% of cases have good flags). We established the criteria for regulated genes: ratio ≥2.0-fold for up-regulated genes and ratio ≤0.5 for down-regulated genes.

2016-10-12 | GSE75422 | GEO

mRNA expression profiles in decidualized and non-decidualized endometriotic cyst stromal cells (ECSCs).

Project description:To identify the mRNAs which regulate the decidualization of ECSCs, we explored differentially expressed mRNAs between untreated ECSCs (n=4) and decidualized ECSCs (n=4) using gene expression microarray. The mRNA expression profiles in untreated ECSCs and decidualized ECSCs were obtained, then the mRNAs were filtered by signal intensity (50.0<, at least one out of 8 samples have values within range) and flags (at least 58% of cases have good flags). We established the criteria for regulated genes: Z-score ≥2.0 and ratio ≥2.0-fold for up-regulated genes, and Z-score ≤–2.0 and ratio ≤0.5 for down-regulated genes.

2016-10-12 | GSE75423 | GEO

miRNA expression profiles in decidualized and non-decidualized normal endometrial stromal cells (NESCs).

Project description:To identify the miRNAs which regulate endometrial decidualization, we explored differentially expressed miRNAs between untreated NESCs (n=4) and decidualized NESCs (n=4) using miRNA microarray. The miRNA expression profiles of untreated NESCs and decidualized NESCs were obtained, then the miRNAs were filtered by signal intensity (50.0<, at least one out of 8 samples have values within range) and flags (at least 13% of cases have good flags). We established the criteria for regulated genes: ratio ≥2.0-fold for up-regulated genes and ratio ≤0.5 for down-regulated genes.

2016-10-12 | GSE75424 | GEO

Expression profiles in decidualized and non-decidualized endometriotic cyst stromal cells (ECSCs) and normal endometrial stromal cells (NESCs)

Project description:Expression profiles in decidualized and non-decidualized endometriotic cyst stromal cells (ECSCs) and normal endometrial stromal cells (NESCs)

| PRJNA304176 | ENA

mRNA expression profiles in decidualized and non-decidualized normal endometrial stromal cells (NESCs).

Project description:To identify the mRNAs which regulate endomrtial decidualization, we explored differentially expressed mRNAs between untreated NESCs (n=4) and decidualized NESCs (n=4) using gene expression microarray. The mRNA expression profiles of untreated in NESCs and decidualized NESCs were obtained, then the mRNAs were filtered by signal intensity (50.0<, at least one out of 8 samples have values within range) and flags (at least 43% of cases have good flags). We established the criteria for regulated genes: Z-score ≥2.0 and ratio ≥2.0-fold for up-regulated genes, and Z-score ≤–2.0 and ratio ≤0.5 for down-regulated genes.

2016-10-12 | GSE75425 | GEO

Observation of the Changes in Chemokine-related Gene Expression of Endometriotic Cyst Stromal Cells by Three-dimensional Collagen Gel Culture

Project description:Endometriotic cyst stromal cells (ECSCs) were isolated from ovarian endometriotic cyst and cultured for 48 hours in the floating three-dimensional collagen gel culture or in the conventional two-dimensional culture. Total mRNAs were extracted and subjected to gene expression microarray.

2020-07-31 | GSE136412 | GEO

Genome-wide gene expression analysis of new cardiomyocytes (CMs) derived from resident c-kitpos endogenous cardiac stem cells (eCSCs) after myocardial injury by Isoproterenol (ISO) in mice.

2013-07-30 | GSE49318 | GEO

Expression profiles in decidualized and non-decidualized endometriotic cyst stromal cells (ECSCs) and normal endometrial stromal cells (NESCs)

Project description:This SuperSeries is composed of the SubSeries listed below.

2016-10-12 | GSE75427 | GEO

Genome-wide gene expression analysis of new cardiomyocytes (CMs) derived from resident c-kitpos endogenous cardiac stem cells (eCSCs) after myocardial injury by Isoproterenol (ISO) in mice.

Project description:Genome-wide gene expression analysis of new cardiomyocytes (CMs) derived from resident c-kitpos endogenous cardiac stem cells (eCSCs) after myocardial injury by Isoproterenol (ISO) in mice. These data show that of new CMs derived from resident c-kitpos eCSCs have a gene expression profile that closely resembles the specific gene expression of adult cardiomyocytes. This result supports a role of c-kitpos eCSCs in the regeneration and repair of myocardial damage. To test the identity and the degree of differentiation of new cardiomyocytes (CMs) derived from resident c-kitpos endogenous cardiac stem cells (eCSCs) after myocardial injury by Isoproterenol (ISO) in mice. Global gene expression profiles by microarray was obtained in c-kitpos eCSCs, c-kitpos eCSC-derived YFPpos CMs and normal adult CMs. c-kitposCD45neg eCSCs were isolated from B6.129X1-Gt(ROSA)26Sortm1(EYFP)Cos/J mice and harvested at 4th passage (n=3). YFPpos cardiomyocytes were FACS sorted from left ventricle apex of Lentirius-c-kit/cre recombined B6.129X1-Gt(ROSA)26Sortm1(EYFP)Cos/J mice 28 days after ISO (N=3). Normal adult CMs were isolated from B6.129X1-Gt(ROSA)26Sortm1(EYFP)Cos/J mice (n=3).

2013-07-30 | E-GEOD-49318 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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