Changes in human endometrial gland transcriptome over the window of implantation
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE84169 | GEO | 2019/07/07
REPOSITORIES: GEO
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Project description:Progesterone regulated genes in the endometrial stromal compartment were studied in proven fertile women using laser dissection capture microscopy followed by microarray. Endometrial biopsies were obtained from women before (control group, n=9) and after (study group, n=9) treatment with mifepristone. Stromal cells were isolated by Laser-capture microdissection and RNA was extracted. The gene expression was analyzed by microarray and reconfirmed by real-time PCR.
2014-07-16 | E-GEOD-59447 | biostudies-arrayexpress
Project description:This study sought to determine whether an endometrial gland specific transcriptome and splicing profile are altered in the window of implantation (days 21-23 of the menstrual cycle) in women with recurrent pregnancy loss. Our data provide a comprehensive catalogue of gene isoforms and relative exon usage in endometrial glands. The endometrial gland targets identified in this study could be used to identify a perturbed endometrium, isolate causes of recurrent pregnancy loss and develop targeted therapies in personalised medicine.
2021-09-23 | GSE183555 | GEO
Project description:RNA sequencing of endometrial glands during the implantation window in women with recurrent pregnancy loss
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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
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’.
2015-10-28 | E-MTAB-3713 | biostudies-arrayexpress
Project description:By employing FOXA2-deficient mouse models coupled with LIF repletion, we reveal definitive roles of uterine glands in pregnancy establishment.These studies provide original evidence that uterine glands synchronize embryo-endometrial interactions, coordinate on-time embryo implantation, and impact stromal cell decidualization, thereby ensuring embryo viability, placental growth, and pregnancy success.
2018-04-13 | GSE113065 | GEO
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
Project description:Purpose: Extracellular vescicles (EVs) of uterine origin have recently been identified, but they are not comprised by current diagnostics on endometrial receptivity. In order to test the possibility to use EVs as biomarker reservoirs for non-invasive monitoring of the endometrial status, we defined two experimental designs: in step a) we aimed at assessing the concordance between the transcriptome of endometrial tissue and uterine fluid-derived EVs (UF-EVs); in step b) we aimed at unraveling the transcriptomic profile of UF-EVs released during the receptive phase and associated with successful implantation Methods: RNAseq analysis was performed on total RNA isolated from a) endometrial biopsies and UF-EVs concomitantly collected from regularly cycling women; b) UF-EVs collected in the pre-receptive (LH+2) versus the receptive (LH+7) phase of provenly fertile women and in the receptive phase (LH+7) of women undergoing assisted reproduction and transfer of an euploid blastocyst. In the latter group, the outcomes of the following embryo transfer attempt were recorded, in order to compare the transcriptomic profile of women with successful versus failed implantation. Differential Gene Expression (DGE) and Gene Set Enrichment (GSEA) analyses were performed. Results: In the first experimental design, a highly significant correlation was found between the transcriptional profiles of endometrial tissue biopsies and corresponding UF-EVs (r=0.71 p<0.001; ρ=0.65 p<0.001). In the second experimental design, using a large group of 73 samples, 16,777 genes were overall found to be expressed in UF-EVs. Of these, DGE analysis showed that 942 were up-regulated and 1,305 down-regulated during the receptive phase in women with proven fertility and 97 were up-regulated and 64 down-regulated during the receptive phase of women achieving successful implantation versus women failing to achieve pregnancy in the subsequent cycle. 41 genes had a statistically significant different expression in both comparisons. We additionally tested wether transcripts used by current endometrial receptivity tests based on endometrial biopsies (Endometrial Receptivity Assay, ERA test) could also be detected in UF-EVs: out of 238 ERA test gene data-set, GSEA highlighted 219 genes with similar transcriptional profile in UF-EVs. We then performed another comparison adding the list of genes consisting of the ‘metasignature’ transcriptome derived from the published meta-analysis of endometrial receptivity associated transcripts, comprising 57 genes. This last intersection identified 38 genes expressed in UF-EVs that i) show differential expression with the same transcriptional profile (same trends) in both EVs and ERA test assay; ii) belong to the leading edge of genes with the most significant enrichment score in our analysis; iii) are identified as receptivity-associated genes by the current meta-analysis on endometrial transcriptome. Conclusions: This is the first study showing the capacity of UF-EVs to reflect the endometrial tissue transcriptional status and to establish a signature of genes expressed in UF-EVs that might serve as putative biomarkers for non-invasive endometrial receptivity tests.
2021-07-01 | GSE158958 | GEO
Project description:Current endometrial receptivity tests require an invasive method of collecting of endometrial biopsies that can cause general discomfort and adverse events such as infections, pain, and bleeding. Therefore, minimally-invasive methodologies for receptivity evaluation are needed. Cervical cells could offer a great potential for endometrial receptivity testing because cervical cell collection by cytobrush is a standardized, quick, simple, well tolerated, minimally invasive and routinely used sampling technique in everyday gynaecological practice. To date, no studies have evaluated the suitability of cervical cells for endometrial receptivity testing based on transcriptional profiling throughout the menstrual cycle. In this study, paired samples of the endometrium and cervical cells were obtained from 20 women in different menstrual cycle time-points in natural cycles and women undergoing hormonal replacement cycles. The gene expression profiles of cervical cells showed no apparent clustering according to their collection time and menstrual cycle phase. Transcriptome analysis identified only four (KIF2C, CENPF, HLA-DRB5 and CUTALP) differentially expressed genes between the early- and mid-secretory samples, suggesting that the transcriptomes of cervical cells, in contrast to endometrial tissue, do not exhibit significant differences during the window of implantation opening. The largest differences in the transcriptome of cervical cells were noticed in late-secretory phase, before initiation of menstruation. The results of our study suggested that cervical cells’ transcriptome does not reflect the gene expression pattern of endometrial tissue during the WOI and these cells offer little or no potential for endometrial receptivity diagnostics.
2023-07-09 | GSE221127 | GEO
Project description:Progress and advancement in assisted reproductive technologies (ART) and its outcomes are limited by the importance of research of endometrial receptivity being overlooked. Due to endometrial biopsy being invasive and in vitro studies lacking reproducibility in vivo, urine is an appealing alternative biofluid source for biomarker research as it can be collected in large quantities non-invasively. The discovery of extracellular vesicles (EVs) in urine (uEVs), has also opened a new avenue in this biomarker research, with these EVs harbouring thousands of proteins that hold promise for biomarker development. In this study urine was collected from human female volunteers and samples representing the different phases of the menstrual cycle were subjected to EV isolation via differential centrifugation and size exclusion chromatography. The resulting uEVs were analysed via Nanoparticle tracking analysis (NTA) to examine the different concentration and size of particles and proteomic analysis performed using shotgun label-free mass spectrometry on the uEV samples and neat urine samples. Our results showed that uEVs were found in numbers depending on the menstrual cycle phase but uEV size was not statistically altered during different stages of the menstrual cycle. Proteomics showed 50% of proteins detected in the neat urine were also present in the uEV samples with 813 proteins were unique in the uEV samples. Proteomics analysis also showed that the menstrual cycle phase affect the uEVs proteomic profile, with some proteins shown to be significantly upregulated and downregulated during the window of implantation phase of the cycle compared to the other non-receptive periods. This data highlights that uEVs characteristics are altered depending on the menstrual cycle phase suggesting the potential of uEVs being used as biomarkers for improving fertility.
2023-12-04 | PXD047127 | Pride