Comparison of organoids from Menstrual Fluid and Hormone-treated Endometrium: Novel tools for Gynaecological Research
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA780602 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16953176_1.fastq.gz | Fastqsanger.gz | |||
| SRR16953176_2.fastq.gz | Fastqsanger.gz | |||
| SRR16953177_1.fastq.gz | Fastqsanger.gz | |||
| SRR16953177_2.fastq.gz | Fastqsanger.gz | |||
| SRR16953178_1.fastq.gz | Fastqsanger.gz |
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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
Project description:Endometrial organoids (EMO) are an important tool for gynecological research but have been limited by generation from (1) invasively acquired tissues and thus advanced disease states and (2) from women who are not taking hormones, thus excluding 50% of the female reproductive-aged population. We sought to overcome these limitations by generating organoids from (1) menstrual fluid (MF; MFO) using a method that enables the concurrent isolation of menstrual fluid supernatant, stromal cells, and leukocytes and (2) from biopsies and hysterectomy samples from women taking hormonal medication (EMO-H). MF was collected in a menstrual cup for 4-6 h on day 2 of menstruation. Biopsies and hysterectomies were obtained during laparoscopic surgery. Organoids were generated from all sample types, with MFO and EMO-H showing similar cell proliferation rates, proportion and localization of the endometrial basalis epithelial marker, Stage Specific Embryonic Antigen-1 (SSEA-1), and gene expression profiles. Organoids from different disease states showed the moderate clustering of epithelial secretory and androgen receptor signaling genes. Thus, MFO and EMO-H are novel organoids that share similar features to EMO but with the advantage of (1) MFO being obtained non-invasively and (2) EMO-H being obtained from 50% of the women who are not currently being studied through standard methods. Thus, MFO and EMO-H are likely to prove to be invaluable tools for gynecological research, enabling the population-wide assessment of endometrial health and personalized medicine.
| S-EPMC8707872 | biostudies-literature
Project description:To unbiasedly and systematically characterize endometrial transformation across the human menstrual cycle in preparation for embryo implantation, we analyzed the transcriptomic transformation of human endometrium at single cell resolution, dissecting multidimensional cellular heterogeneity of the tissue across the entire natural menstrual cycle.
2020-06-29 | GSE111976 | GEO
Project description:The aim of the experiment was to investigate the effects of stimulation of human endometrial organoids with estrogen (E2) and progesterone (P4) In humans, the endometrium, the uterine mucosal lining, undergoes dynamic changes throughout the menstrual cycle and in pregnancy. We adapted conditions used to establish human adult stem cell-derived organoid cultures to generate 3D cultures of human endometrium. Unlike other mucosal epithelia, the endometrium responds dramatically to ovarian sex hormones, estrogen (E2) and progesterone (P4), which regulate cyclical proliferation and differentiation of endometrial glands with concomitant dynamic temporal and spatial expression of their receptors, ERalpha and PR.
2017-04-11 | GSE94723 | GEO
Project description:Repair after damage is essential for tissue homeostasis. Post-menstrual repair of the uterine endometrium is a unique cyclical manifestation of rapid, scar-free, tissue repair taking ~3-5 days. Skin repair post-wounding is slower (~2 weeks) and, in the case of chronic wounds, takes months/years to restore integrity. Herein, the unique ‘rapid-repair’ endometrial environment is translated to the ‘slower-repair’ skin environment. Menstrual fluid (MF), the milieu of post-menstrual endometrial repair, facilitates healing of endometrial and keratinocyte ‘wounds’ in vitro, promoting cellular adhesion and migration, stimulates keratinocyte migration in an ex vivo human skin-reconstruct model and promotes re-epithelialization in an in vivo porcine wound model. Proteomic analysis of MF identified a large number of proteins; several proteins were selected for further investigation, with the endometrium demonstrated as the source of these factors. Functionally, they promote repair of endometrial and keratinocyte wounds by promoting migration, differing significantly from currently available wound-repair treatments, which mainly promote proliferation. Development of these and other menstrual fluid factors into a ‘migration-inducing’ treatment paradigm will provide novel therapies for tissue repair.
2018-07-30 | PXD007234 | Pride
Project description:The fate of the human endometrium is determined during the mid-luteal window of implantation, a crucial period when endometrial stromal cells (EnSCs) differentiate into specialized decidual cells. Upon embryo implantation, these differentiating EnSCs transform the endometrium into the decidua of pregnancy. Conversely, in the absence of pregnancy, decreasing progesterone levels trigger tissue breakdown, leading to menstruation. Despite our understanding of these processes, the precise mechanisms governing this tissue transformation remain elusive. To bridge this knowledge gap, we conducted single-cell RNA sequencing, mapping the transcriptomic profiles of timed endometrial biopsies throughout the luteal phase of the menstrual cycle.
2024-11-06 | GSE247962 | GEO
Project description:Background: a fundamental challenge for reproductive biology is to understand the menstrual cycle, specially the window of implantation, whose regulation and mechanistic remain incompletely understood in human reproductive physiology. Transcriptomics from a systems biology perspective provides a genomic framework to discover endometrial tissue specific regulation and behavior and its function in reproductive physiology. Results: Here, we applied a transcriptomic analysis of 238 endometrial receptivity related genes using a customized Agilent platform. 507 human endometrial biopsies were analyzed among the menstrual cycle, especially in the expected window of implantation and divided in to transcriptomic profiles using machine learning predictors (SVM and KNN models). The clinical relevance of these profiles was tested defining the best transcriptomic profile for pregnancy and live birth. Weighed Gene Co-expression Networks (WGCN) was applied is these clinically well-defined endometrial states to characterize the gene co-expression tissue specific regulation in humans for pregnancy in comparison with the other transcriptomic stages of menstrual cycle. For the first time, the menstrual cycle has been mapped as a percentage of positive and negative correlations between genes. Thanks to this approach, we have discovered the WOI as the fewest negatively correlated state with the highest proportion of positive correlations (Cochran´s Q = 14324.12, FDR < 2.2e-16) with an average of 84% of positive correlations in pregnant profile, while 53% in the two previous Proliferative (PF) and Early Pre-Receptive profiles and 67% in the late secretory endometrium, just before menstruation renewal. Finally, this study provides a wealth of network data to the scientific community to stimulate hypothesis-driven single-molecule endometrial studies in the form of a user-friendly database called the Menstrual Cycle Gene Co-expression Network (website: www.menstrualcyclegcn.com). Conclusions: this genomic research reveals for first time the pregnant endometrium as a global derepressed state in human menstrual cycle. This indicates the endometrium is generally a repressive tissue in human menstrual cycle with a relaxed WOI period where gene expression reaches the highest proportion of positive correlation, indicating that a decrease of inhibition may allow embryo implantation. Detailed molecular information about co-expression among menstrual cycle is also provided.
2021-09-15 | GSE126581 | GEO
Project description:To examine the possibility that biochemical or molecular signatures of endometrium may prove to be more useful, we have investigated whole genome molecular phenotyping (54,600 genes/ESTs) of this tissue sampled across the cycle in 28 normo-ovulatory women, using high-density oligonucleotide microarrays. The results demonstrate that endometrial samples obtained by two different sampling techniques (biopsy and curetting hysterectomy specimens) from subjects who are as normal as possible in a human study and 4 including those with unknown histology, can be classified by their molecular signatures and correspond to known phases of the menstrual cycle with identical results using two independent analytical methods. Also, the results enable global identification of biological processes and molecular mechanisms that occur dynamically in the endometrium in the changing steroid hormone milieu across the menstrual cycle in normo-ovulatory women. The results underscore the potential of gene expression profiling for developing molecular diagnostics of endometrial normalcy and abnormalities and identifying molecular targets for therapeutic purposes in endometrial disorders. Keywords: Gene expression arrays human endometrium
2006-05-24 | GSE4888 | GEO
Project description:Successful embryo implantation into a receptive endometrium requires mutual endometrial-embryo communication. Recently, the function of extracellular vehicles (EVs) in cell-to-cell interaction in embryo-maternal interactions has been investigated. We explored isolated endometrial derived EVs, using RL95-2 cells as a model of a receptive endometrium, influenced by menstrual cycle hormones estrogen (E2; proliferative phase) progesterone (P4; secretory phase) and estrogen plus progesterone (E2P4; the receptive phase). EV sized particles were isolated by differential centrifugation and size exclusion chromatography. Nanoparticle tracking analysis was used to examine the different concentration and size of particles and EV proteomic analysis per-formed using shotgun label-free mass spectrometry. Our results showed that although endome-trial derived EVs were secreted in numbers independent of hormonal stimulation, EVs sizes were statistically modified by it. Proteomics analysis showed that hormone treatment changes affect the endometrial EVs proteome, with proteins enhanced within the EV E2P4 group shown to be in-volved in different processes such as embryo implantation, endometrial receptivity, and embryo development, supporting the concept of a communication system between the embryo and the maternal endometrium via EVs.
2023-02-13 | PXD039764 | Pride
Project description:To examine the possibility that biochemical,or molecular signatures of endometrium may prove to be more useful, we have investigated,whole genome molecular phenotyping (54,600 genes/ESTs) of this tissue sampled across the,cycle in 28 normo-ovulatory women, using high-density oligonucleotide microarrays. The results demonstrate,that endometrial samples obtained by two different sampling techniques (biopsy and curetting,hysterectomy specimens) from subjects who are as normal as possible in a human study and,4,including those with unknown histology, can be classified by their molecular signatures and,correspond to known phases of the menstrual cycle with identical results using two independent,analytical methods. Also, the results enable global identification of biological processes and,molecular mechanisms that occur dynamically in the endometrium in the changing steroid,hormone milieu across the menstrual cycle in normo-ovulatory women. The results underscore,the potential of gene expression profiling for developing molecular diagnostics of endometrial,normalcy and abnormalities and identifying molecular targets for therapeutic purposes in,endometrial disorders.
2007-06-25 | E-GEOD-4888 | biostudies-arrayexpress