Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrated microRNA and secretome analysis of human endometrial organoid reveal the miR-3194-5p/Aquaporin/S100A9 module in regulating trophoblast functions

ABSTRACT: We adopted the endometrial organoid model to simulate the hormonal conditions in the menstrual cycle and early gestation. We then established the first secretome profiles and miRNA atlas of these endometrial organoid in relation to their hormonal changes. We demonstrated for the first time that the miR-3194-5p/S100A9 axis is a key regulator of trophoblast invasion during early pregnancy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE197738 | GEO | 2022/03/15

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Integrated microRNA and secretome analysis of human endometrial organoid reveal the miR-3194-5p/Aquaporin/S100A9 module in regulating trophoblast functions

Project description:Successful placentation requires delicate communication between endometrium and trophoblasts. The invasion and integration of trophoblasts into the endometrium during early pregnancy is crucial to placentation. Dysregulation of these functions is associated with various pregnancy complications such as miscarriage and preeclampsia. The endometrial microenvironment exerts an important influence on trophoblast cell functions. We hypothesized that the hormonal environment regulates the miRNA profile and secretome of the human endometrial gland, which subsequently modulates trophoblast functions during early pregnancy. By establishing the first secretome profiles and miRNA atlas of these endometrial organoids to the hormonal changes followed by trophoblast functional assays, we demonstrated that sex steroid hormones modulate aquaporins (AQP)1/9 and S100A9 secretions through miR-3194 activation in endometrial epithelial cells, which in turn enhanced trophoblast migration and invasion during early pregnancy.

2023-05-10 | PXD036535 | Pride

Integrated microRNA and secretome analysis of human endometrial organoid reveal the miR-3194-5p/Aquaporin/S100A9 module in regulating trophoblast functions

Project description:Integrated microRNA and secretome analysis of human endometrial organoid reveal the miR-3194-5p/Aquaporin/S100A9 module in regulating trophoblast functions

| PRJNA811793 | ENA

Capture and metabolomic analysis of the human endometrial epithelial organoid secretome

Project description:We report the isolation and metabolomic profiling of human endometrial epithelial intra-organoid and extra-organoid fluids, derived from organoids, in turn derived from 3 donors, and subjected to a brief hormonal [estradiol (e2)] exposure. rna-sequencing was conducted on the cells from which organoid fluids were sampled.

2021-02-07 | GSE166289 | GEO

Menstrual flow as a non-invasive source of endometrial organoids

Project description:Organoid cultures derived from menstrual flow faithfully replicate secretory phase endometrial glands and provide a novel, non-invasive technique for the clinical assessment of endometrial function. Paired organoid cultures derived from scratch biopsies and ensuing menstrual flow share the same transcriptome signature, responses to early pregnancy hormones, and pathological changes in cases of early-pregnancy loss. The technique opens new avenues for investigating endometrial function in cases of subfertility and gynaecological disorders.

2021-04-13 | E-MTAB-9284 | biostudies-arrayexpress

Comparison of organoids from Menstrual Fluid and Hormone-treated Endometrium: Novel tools for Gynaecological Research

Project description:Background: Endometrial organoids are useful tools for studying endometrial biology but are derived from endoemtrial tissue obtained invasively from biopsies and mostly from women not taking hormonal medication. To increase the proportion of women from which endometrial organoids can be obtained, we sought to compare endometrial organoids derived from menstrual fluid and hormone-treated endometrium with standard endometrial organoids. Purpose: To determine if organoids derived from menstrual fluid and hormone-treated endometrium share features with standard endometrial organoids. Methods: RNA sequencing was performed on passage 3 day 7 menstrual fluid organoids (MFO), endometrial organoids from women taking hormonal medication (EMO-H) and standard endometrial organoids (EMO) Results: to determine if organoids derived from menstrual fluid and hormone-treated endometrium share features with staandard endometrial organoids. Conclusions: MFO and EMO-H did not cluster distinctly to EMO, indicating that they share features with EMO and may enable population-wide disease modelling. This is the first publicly available data set demonstrating the transcriptome of EMO-H.

2021-12-06 | GSE188915 | GEO

Endometrial methylome of patients with endometriosis

Project description:Alterations in endometrial DNA methylation profile have been proposed as one potential mechanism initiating the development of endometriosis. However, the normal endometrial methylome is influenced by the cyclic hormonal changes and the menstrual cycle phase-dependent epigenetic signature should be considered when studying endometrial disorders. So far, no studies have been performed to evaluate the menstrual cycle influences and endometriosis-specific endometrial methylation pattern at the same time. Therefore, we used Infinium HumanMethylation 450K BeadChip arrays to explore DNA methylation profiles of endometrial tissues from various menstrual cycle phases. Infinium HumanMethylation 450K BeadChip arrays were used to explore DNA methylation profiles of endometrial tissues from various menstrual cycle phases from 24 patients with endometriosis

2016-02-15 | E-GEOD-73948 | biostudies-arrayexpress

Endometrial methylome of patients without endometriosis

2016-02-15 | GSE73949 | GEO

Endometrial methylome of patients with endometriosis

2016-02-15 | GSE73948 | GEO

Endometrial methylome of patients without endometriosis

Project description:Alterations in endometrial DNA methylation profile have been proposed as one potential mechanism initiating the development of endometriosis. However, the normal endometrial methylome is influenced by the cyclic hormonal changes and the menstrual cycle phase-dependent epigenetic signature should be considered when studying endometrial disorders. So far, no studies have been performed to evaluate the menstrual cycle influences and endometriosis-specific endometrial methylation pattern at the same time. Therefore, we used Infinium HumanMethylation 450K BeadChip arrays to explore DNA methylation profiles of endometrial tissues from various menstrual cycle phases. Infinium HumanMethylation 450K BeadChip arrays were used to explore DNA methylation profiles of endometrial tissues from mid secretory cycle phase from 17 patients without endometriosis

2016-02-15 | E-GEOD-73949 | biostudies-arrayexpress

Single-cell RNA-seq of Endometrial organoids treated with NOTCH or WNT inhibitors in a time course of Estrogen and Progesterone stimulation

Project description:We performed single-cell RNA-sequencing of 3D endometrial organoid cultures in order to dissect the signaling pathways that determine cell fate of epithelial lineages. Every time course was obtained in a background that either included or did not include ovarian hormones stimulation, which emulates dynamic regulations associated with the menstrual cycle. These inductions show that in vitro downregulation of WNT or NOTCH pathways increases the differentiation efficiency along the secretory and ciliated lineages, respectively.

2021-07-21 | E-MTAB-10283 | 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