Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Peritoneal fluid from subjects with endometriosis regulates gene expression in cultured endometrial cells

ABSTRACT: Purpose: This study was undertaken to evaluate the effect of peritoneal fluid from subjects with differing stages of endometriosis on gene expression in endometrial stromal cells. Methods: Peritoneal fluid from subjects with minimal, moderate, and severe stages of endometriosis or without endometriosis (controls) was collected, filtered and separated from peritoneal cells. Telomerase – immortalized human endometrial stromal cells (T-HESC) were treated with the peritoneal fluid samples for 48 hours. RNA was isolated from treated cells and processed for DNA microarray. Results: 162 genes were found to be differentially expressed in T-HESC cells treated with peritoneal fluid from subjects with differing stages of endometriosis. Three of the differentially expressed genes were chosen for confirmatory studies using quantitative RT-PCR; these were interleukin 8, corin and matrix metalloproteinase 3. The primary gene ontologies identified by microarray highlight functions expected to be involved in the establishment of endometriosis, such as proteases, signal transduction, defense and immune system, cell adhesion, cell cycle and cell death, cytoskeleton, transcriptional regulation and translation, extracellular matrix, and enzymes and metabolism. Conclusions: This study demonstrated that the severity of endometriosis affected the factors present in peritoneal fluid which, in turn, affected gene expression in endometrial stromal cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE101176 | GEO | 2019/07/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Reciprocal communication between endometrial stromal cells and macrophages

Project description:Endometriosis is an inflammatory disease and bone marrow-derived cells are abundant in endometriotic lesions and in the peritoneal fluid of women with the disease. This study tested the hypothesis that reciprocal communication occurs between macrophages and cultured human endometrial stromal cells and that this communication contributes to the pathology of endometriosis. Changes in gene expression elicited by exposure to factors secreted by the opposing cell type were measured by DNA microarray to test this hypothesis. 716 named genes were differentially expressed in cultured endometrial stromal cells in response to factors secreted by macrophages. Genes that were up-regulated included IL8/CXCL8, MMP3, phospholamban, CYR61/CCN1, CTGF/CCN2, tenascin C, and NNMT, whereas integrin alpha 6 was down-regulated. In contrast, 15 named genes were differentially expressed in macrophages in response to factors secreted by cultured endometrial stromal cells. The data document reciprocal communication between macrophages and endometrial stromal cells and suggest that interaction with macrophages stimulates the expression of genes in endometrial stromal cells that contribute to migration, adhesion, invasion, neovascularization and mitosis of endometrial cells that may support the establishment of endometriosis.

2010-07-21 | GSE19834 | GEO

Homo sapiens

Project description:Peritoneal fluid from subjects with endometriosis regulates gene expression in cultured endometrial cells

| PRJNA393836 | ENA

KrM-CM-<ppel-like Factor 9 and Progesterone Receptor Co-Regulation of Decidualizing Endometrial Stromal Cells: Implications for its Loss in the Pathogenesis of Endometriosis

Project description:Endometriosis is characterized by progesterone resistance and is associated with infertility. KrM-CM-<ppel-like Factor 9 (KLF9) is a progesterone receptor (PGR)-interacting protein, and mice null for Klf9 are subfertile. Whether loss of KLF9 contributes to progesterone resistance of eutopic endometrium of women with endometriosis is unclear. The aim of this study was to investigate KLF9 and PGR co-regulation of human endometrial stromal cell (HESC) transcriptome network. Microarray gene expression analysis was conducted in decidualizing HESC by silencing the expression of KLF9 and PGR, alone or in combination by a siRNA approach, to identify additional KLF9 and PGR co-regulated genes and signaling networks/pathways. HESC also treated with 8-bromo-cAMP, 17M-CM-^_-estradiol, and medroxyprogesterone acetate (cAME) to mimic stromal progression from a proliferative to a differentiated state.

2012-04-03 | E-GEOD-31683 | biostudies-arrayexpress

Single cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis

Project description:Background. Endometriosis is a common, complex disorder which is underrecognized and subject to prolonged delays in diagnosis. It is accompanied by significant changes in the eutopic endometrial lining. Methods . We have undertaken the first single cell RNA-sequencing (scRNA-Seq) comparison of endometrial tissues in freshly collected menstrual effluent (ME) from 33 subjects, including confirmed endometriosis patients (cases) and controls as well as symptomatic subjects (who have chronic symptoms of endometriosis but have not been diagnosed). Results . We identify a unique subcluster of proliferating uterine natural killer (uNK) cells in ME-tissues from controls that is almost absent from endometriosis cases, along with a striking reduction of total uNK cells in the ME of cases (p<10 -16 ). In addition, an IGFBP1+ decidualized subset of endometrial stromal cells are abundant in the shed endometrium of controls when compared to cases (p<10 -16 ) confirming findings of compromised decidualization of cultured stromal cells from cases. By contrast, endometrial stromal cells from cases are enriched in cells expressing pro-inflammatory and senescent phenotypes. An enrichment of B cells in the cases (p=5.8 x 10 -6 ) raises the possibility that some may have chronic endometritis, a disorder which predisposes to endometriosis. Conclusions . We propose that characterization of endometrial tissues in ME will provide an effective screening tool for identifying endometriosis in patients with chronic symptoms suggestive of this disorder. This constitutes a major advance, since delayed diagnosis for many years is a major clinical problem in the evaluation of these patients. Comprehensive analysis of ME is expected to lead to new diagnostic and therapeutic approaches to endometriosis and other associated reproductive disorders such as female infertility.

2022-09-21 | GSE203191 | GEO

Deep quantitative proteomics underlies extensive metabolic reprogramming and cancer-like changes of ectopic endometriotic stromal cells

Project description:Endometriosis is a prevalent health condition in women of reproductive age characterized by ectopic growth of endometrial tissue in the extrauterine environment. Thorough understanding of the molecular mechanisms underlying the disease are still lacking and incomplete. We dissect eutopic and ectopic endometrial primary stromal cell proteomes to a depth of nearly 6900 proteins using quantitative mass-spectrometry with a spike-in SILAC standard. Acquired data reveal metabolic reprogramming of ectopic stromal cells of endometriosis with extensive upregulation of glycolysis and down-regulation of oxidative respiration – a wide-spread metabolic phenotype previously described in many cancers. Our results also underlie other molecular changes of ectopic endometriotic stromal cells indicating reduced apoptotic potential, increased cellular adhesiveness/invasiveness and altered immune function. The changes related to metabolism are additionally reflected by attenuated aerobic respiration of ectopic endometrial stromal cells measured by live cell oximetry and by altered mRNA levels. These comprehensive proteomics data refine the current understanding of endometriosis presenting potential new avenues for therapies.

2015-12-21 | PXD002845 | Pride

Deep quantitative proteomics underlies extensive metabolic reprogramming and cancer-like changes of ectopic endometriotic stromal cells

2016-10-22 | MSV000080276 | MassIVE

Genome-wide DNA methylation profiling in cultured eutopic and ectopic endometrial stromal cells (expression)

Project description:Transcriptome profiles were investigated in isolated endometrial stromal cells (ESCs) from eutopic and ectopic endometrium. The profiles were quite different between eutopic ESC and ectopic ESC, whereas no clear dfference was recognized between eutopic ESC with and without endometriosis. Total RNA from three cultured endometrial stromal cells (ESCs) from eutopic endometria without endometriosis, three ESCs with endometriosis and three ESCs from chocolate cysts were hybridised to the Affymetrix Human Gene 1.0 ST Array.

2013-09-07 | E-GEOD-47360 | biostudies-arrayexpress

Genome-wide DNA methylation profiling in cultured eutopic and ectopic endometrial stromal cells (methylation)

Project description:Profiles of genome-wide DNA methylation were investigated in isolated endometrial stromal cells from eutopic and ectopic endometrium. DNA methylation profiles were quite different between eutopic ESC and ectopic ESC, whereas no clear dfference were recognized between eutpic ESC with and without endometriosis. Bisulphite converted DNA from three cultured endometrial stromal cells (ESCs) from eutopic endometria without endometriosis, three ESCs with endometriosis and three ESCs from chocolate cysts were hybridised to the Illumina infinium HumanMethylation27 BeadChip.

2013-09-07 | E-GEOD-47359 | biostudies-arrayexpress

TNFalpha and IL1beta stimulate differential gene expression in endometrial stromal cells

Project description:Cytokines are implicated in the development of inflammatory diseases such as endometriosis. This project was designed to test the hypothesis that specific cytokines that are secreted by macrophages, such as tumor necrosis factor α (TNFα) and interleukin 1 beta (IL1β), cause gene expression changes in endometrial stromal cells. Telomerase-immortalized human endometrial stromal cells (T-HESC) were treated with TNFα (5ng/ml) ± IL1β (1ng/ml). DNA microarray and real time RT-PCR were used to study the gene expression changes in T-HESC cells. Two hundred and nineteen genes featuring in various gene ontologies were found to be differentially expressed in T-HESC cells treated with TNFα ± ILIβ. The gene ontologies included functions expected to be associated with the development of endometriosis such as peptidases, cell adhesion, cell death/apoptosis, cell cycle, growth factors, cytoskeletal organization, defense/immune system, signal transduction, and transcriptional regulation. The differential expression of 4 genes (interleukin 8 (IL8), interleukin 6 (IL6), IL1β and matrix metalloproteinase (MMP3) was confirmed by real time RT-PCR. All four genes were up-regulated in response to TNFα ± ILIβ in T-HESC cells. The effect of TNFα ± ILIβ on migration and invasion of T-HESC cells, as measured with Boyden chambers, was not affected by treatment with these cytokines.

2014-08-01 | GSE40007 | GEO

Gene expression profiling of SF1 knockdown in human endometriotic stromal fibroblast

Project description:Epigenetic silencing of Steroidogenic Factor 1 (SF1) is lost in endometrial tissue in endometriosis and this is hypothesized to result in de novo local steroidogenesis favoring growth and inflammation. The goal of this study was to evaluate the endometrial specific transcriptional and functional role of SF1. Expression of SF1 was robustly increased in cultures established from stromal fibroblasts isolated from endometriomas (OsisHESC) over endometrial stromal cells isolated from eutopic sites in healthy proliferative phase endometrial biopsies (HESC). In order to evaluate the role of SF1 in the regulation of genes in fibroblast isolated from human endometriomas, OsisHESC were transfected with scrambled siRNA (siNT) or siRNA targeting SF1 (siSF1).

2016-05-12 | GSE67524 | 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