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Transcriptome-wide N6-methyladenosine modification profiling in patients with recurrent implantation failure (RIF)

ABSTRACT: Transcriptome-wide N6-methyladenosine modification profiling in patients with recurrent implantation failure (RIF)

PROVIDER: PRJNA844965 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR19525013_1.fastq.gz	Fastqsanger.gz
	SRR19525013_2.fastq.gz	Fastqsanger.gz
	SRR19525014_1.fastq.gz	Fastqsanger.gz
	SRR19525014_2.fastq.gz	Fastqsanger.gz
	SRR19525015_1.fastq.gz	Fastqsanger.gz

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Transcriptome-wide N6-methyladenosine modification profiling in patients with recurrent implantation failure (RIF)

Project description:Purpose:using m6A modified RNA immunoprecipitation sequence (m6A-seq), to establish the m6A methylation transcription profiles in recurrent implantation failure (RIF). Methods: GenSeq® Low Input Whole RNA Library Prep Kit (GenSeq, Inc.) was used to construct RNA libraries for IP and input samples by following the manufacturer's instructions. The library quality was evaluated using Agilent 2100 bioanalyzer and then sequenced in a NovaSeq platform (Illumina 6000). Result:using m6A modified RNA immunoprecipitation sequence (m6A-seq), methylated sites in mRNA,lncRNA and circRNA are identified. Conclusions: Our study revealed the m6A methylation landscape by MERIP sequencing.

2022-10-16 | GSE205398 | GEO

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

Differentially expressed miRNA in recurrent implantation failure (RIF)

Project description:Differentially expressed miRNA in recurrent implantation failure (RIF)

| PRJNA496396 | ENA

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

The endometrial gene expression signature of recurrent implantation failure after IVF

Project description:Transcriptomic studies have identified gene expression profiles characteristic of the window of implantation and preliminary studies have indicated that these may be disrupted in some women with recurrent implantation failure (RIF). The aims of this study were to elucidate how the endometrial gene expression profile differs between women with RIF and controls, and to investigate whether a predictor set of genes could be identified able to distinguish between these women.

2015-06-01 | GSE58144 | 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

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

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

Recurrent Implantation Failure: Bioinformatic Discovery of Biomarkers and Identification of Metabolic Subtypes

Project description:Recurrent implantation failure (RIF) is a challenging scenario from different standpoints. This study aimed to investigate its correlation with the endometrial metabolic characteristics. Transcriptomics data of 70 RIF and 99 normal endometrium tissues were retrieved from the Gene Expression Omnibus database. Common differentially expressed metabolism-related genes were extracted and various enrichment analyses were applied. Then, RIF was classified using a consensus clustering approach. Three machine learning methods were employed for screening key genes, and they were validated through the RT-qPCR experiment in the endometrium of 10 RIF and 10 healthy individuals. Receiver operator characteristic (ROC) curves were generated and validated by 20 RIF and 20 healthy individuals from Peking University People’s Hospital. We uncovered 109 RIF-related metabolic genes and proposed a novel two-subtype RIF classification according to their metabolic features. Eight characteristic genes (SRD5A1, POLR3E, PPA2, PAPSS1, PRUNE, CA12, PDE6D, and RBKS) were identified, and the area under curve (AUC) was 0.902 and the external validated AUC was 0.867. Higher immune cell infiltration levels were found in RIF patients and a metabolism-related regulatory network was constructed. Our work has explored the metabolic and immune characteristics of RIF, which paves a new road to future investigation of the related pathogenic mechanisms.

2024-09-09 | GSE243550 | GEO

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