Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-Cell RNA Transcriptome of the Human Endometrium Reveals Epithelial Characterizations Associated with Recurrent Implantation Failure

ABSTRACT: To investigated the characteristics of the endometrium from RIF patients during WOI at single-cell resolution.

ORGANISM(S): Homo sapiens

PROVIDER: GSE223672 | GEO | 2023/01/30

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Single-cell transcriptome profiling of the human endometrium from patients with recurrent implantation failure

Project description:Despite great advances in assisted reproductive technology (ART), unexplained recurrent implantation failure (RIF) due to disorder of endometrial receptivity still cannot be effectively avoided. More importantly, cell characteristics and cell communication that regulate endometrial receptivity and differentiation, and its disorders in RIF at the window of implantation (WOI) remain rudimentary. Here we characterized the transcriptomes of four major cells in human endometrium from healthy control and RIF patients at single-cell resolution. We discovered the dynamic change characteristics of four major endometrial fibroblast-like cells with different endometrial receptivity, reported a novel pluripotent endometrial glandular epithelial cell with high levels of progesterone receptor and exosomes, and defined a unique ITGA1+CXCR4+ NK cell for connecting endometrial nonimmune cells and immune cell infiltration at the WOI. Additionally, we developed a systematic repository of cell-cell communication for endometrial differentiation and the opening of endometrial receptivity via the ligand-receptor complexes interactions. Our study provides deeper insights into aberrant molecular and cellular characterizations, and the endometrial microenvironmental disorders of RIF patients that are potentially applicable to improve the etiological diagnosis and therapeutics of unexplained RIF.

2022-09-16 | GSE183837 | GEO

Endometrial transcriptome profiling of patients with recurrent implantation failure (RIF) during hormone replacement therapy (HRT) cycles

Project description:The molecular mechanisms underlying window of implantation (WOI) displacement in patients with recurrent implantation failure (RIF) remain unclear. This study aims to explore the transcriptomic signatures of endometrium with normal and displaced WOIs during HRT cycles and to identify the causes of endometrial receptivity (ER) abnormalities and WOI displacement in RIF patients. 40 RIF patients were recruited and underwent personalized embryo transfer (pET) guided by the predicted results of endometrial receptivity diagnosis (ERD) model. Transcriptome analysis of endometrium from patients with clinical pregnancies after pET was performed to identify differentially expressed genes (DEGs) associated with WOI displacement. The ERD results indicated that 67.5% of RIF patients (27/40) were non-receptive in the conventional WOI (P+5) of the HRT cycle. The clinical pregnancy rate in RIF patients improved to 65% (26/40) after ERD-guided pET, indicating the effectiveness of transcriptome-based WOI prediction. Among the 26 patients with clinical pregnancy, the gene expression profiles of P+5 endometrium from advanced (n=6), normal (n=10) and delayed (n=10) WOI groups were significantly different from each other. 10 DEGs (CES4A, LRRC1, SLC25A48, TM4SF4, DPP4, CXCR1, CXCR2, OSM, LCN2 and TNFRSF10C ) identified among P+5 endometrium of 3 groups were involved in immunomodulation, transmembrane transport and tissue regeneration, which could accurately classify the endometrium with different WOIs.

2024-01-03 | GSE252280 | GEO

Abberant lncRNA expression profiles in recurrent implantation failure endometrium

Project description:To compare the lncRNA expression profile of RIF (recurrent implantation failure) and normal control endometrium,endometrium samples were collected at window of implantation (LH+6~10 days) The dysregulated lncRNAs between RIF and control group were deem to be involve in the regulation of endometrium receptivity

2018-07-24 | GSE71331 | GEO

Expression data of endometrium from patients with recurrent implantation failure and normal women

Project description:Recurrent implantation failure (RIF) is a challenge in the field of reproductive medicine. The dysfunction of endometrium is one of the pathogenesis of implantation failure. We used microarrays to detail the global programme of gene expression underlying the molecular pathogenesis of implantation failure.

2022-03-02 | GSE188409 | GEO

Differentially expressed circRNAs in recurrent implantation failure

Project description:Our study is designed to demonstrate altered profiles of circRNAs in the luteal-phase endometrium from patients with RIF. Functional studies will be further confirmed. This study will provide new viewpoint for understanding the roles of non-coding RNA for endometrial stromal cells and epithelial cells function, as well as potential etiologic mechanism for RIF.

2021-09-15 | GSE147442 | GEO

Endometrial Tissue RNA expression in Recurrent Implantation Failure vs. Conrol

Project description:We aimed to identify altered biological processes in the endometrium that may be potential markers of receptive endometrium. RNA expression profiling of the endometrium during the window of implantation was performed in patients with Recurrent Implantation Failure (RIF) versus fertile controls.

2018-03-18 | GSE111974 | GEO

Characterization of gene expression profile during the implantation phase in IVF cycles in endometrium of women with recurrent implantation failure

Project description:With the rapid development of assisted reproductive techniques (ART), the number and quality of embryos have been optimized, but the embryo implantation rate has not been significantly improved yet. Recurrent implantation failure (RIF), a condition that is typically diagnosed in patients who fail to achieve clinical pregnancy after having undergone at least 3 times of embryo transfers (including a total of ≥4 good-quality embryos), is a challenging problem in ART treatment. Previous studies about RIF are limited to clinical trials and the detection of limited biomarkers within peripheral blood, but few about gene expression within local endometrial tissue and RIF, the key factors involved in RIF remain unclear. Our study was designed with an aim to compare the gene expression profile of RIF women with that of healthy proven fertile controls to explore the influence factors of endometrial receptivity and the mechanisms of RIF.

2018-09-01 | GSE103465 | GEO

Natural cycle frozen embryo transfer is superior to artificial cycle in women with recurrent implantation failure: endometrial transcriptome study

Project description:Transcriptome profile of receptive phase endometrium among infertile women with recurrent implantation failure (RIF) in two different endometrial preparation protocols for FET was analyzed: natural cycle (NC-FET) vs. artificial cycle (AC-FET). Fifteen endometrial biopsy samples were obtained: women with unexplained RIF (n = 5) in natural cycles for FET (NC-FET), women with unexplained RIF undergoing artificial endometrial preparation (n = 5) for FET (AC-FET), and healthy women (n = 5) with proven fertility in natural cycles (NC-FC) (Control group). All endometrial biopsies were obtained during the mid-secretory phase, at the time of ‘window of implantation’.

2016-01-15 | E-MTAB-3655 | biostudies-arrayexpress

Natural cycle frozen embryo transfer is superior to artificial cycle in women with recurrent implantation failure: endometrial transcriptome study

2015-10-28 | E-MTAB-3713 | biostudies-arrayexpress

Differentially expressed miRNA in recurrent implantation failure (RIF)

Project description:we utilized Exiqon miRCURY™ LNA Array (v18.0, Exiqon, Vedbaek, Denmark) to establish miRNA expression profiles in the endometrial tissues at the time of embryo implantation(day 7 after ovulation) from 8 RIF patients and 10 matched controls. A total of 157 miRNAs exhibited distinct expression patterns in RIF patients as opposed to controls (fold change >2.0 and P-value <0.05).

2021-10-10 | GSE121219 | GEO

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