Endometriosis and Pain samples
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ABSTRACT:
PROVIDER: PRJNA758583 | ENA |
REPOSITORIES: ENA
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Project description:We focus on the characterization of gene expression profiles in circulating monocytes and peritoneal fluid Mononuclear phagocytes in patients with endometriosis
2021-08-31 | GSE182983 | GEO
Project description:Endometriosis is a common disease seen by gynecologists. Clinical features involve pelvic pain and unexplained infertility. Although endometriosis is pathologically characterized by endometrial tissue outside the normal uterine location, endometriosis is otherwise not easily explained. Endometriomas, endometriotic cysts of the ovary, typically cause pain and distortion of pelvic anatomy. To begin to understand the pathogenesis of endometriomas, we carried out transcriptome:microRNAome analysis of endometriomas and eutopic endometrium, using gene expression arrays and next generation small RNA sequencing technology. Keywords: two group comparison Patients undergoing surgery for endometriomas, suspected endometriosis, pelvic pain, abnormal uterine bleeding, pelvic organ prolapse, or uterine leiomyomas were approached for participation. After informed consent, the patients underwent scheduled surgical procedure. Tissues were collected either as cyst wall of endometrioma or endometrial curettage of hysterectomy specimen and placed directly into RNALater (Ambion, Austin, TX) and eventually frozen at -80?C. Samples were designated as endometriomas or non-endometriosis control endometrium based on surgical pathology reports. Total RNA was isolated from frozen tissue. High quality RNA was subjected to Illumina’s Human WG-6 version 2.0 BeadChips (Illumina). . *** This Series represents the transcriptome component of the study. ***
2011-05-09 | E-GEOD-23339 | biostudies-arrayexpress
Project description:Endometriosis is a common disease seen by gynecologists. Clinical features involve pelvic pain and unexplained infertility. Although endometriosis is pathologically characterized by endometrial tissue outside the normal uterine location, endometriosis is otherwise not easily explained. Endometriomas, endometriotic cysts of the ovary, typically cause pain and distortion of pelvic anatomy. To begin to understand the pathogenesis of endometriomas, we carried out transcriptome:microRNAome analysis of endometriomas and eutopic endometrium, using gene expression arrays and next generation small RNA sequencing technology. Keywords: two group comparison
2011-05-09 | GSE23339 | GEO
Project description:The aim of this research was to explore activation/deactivation of signaling pathways in endometrium samples from patients with endometriosis.
2017-02-03 | GSE94414 | GEO
Project description:Purpose- To identify the pathways and processes that are dysregulated in the eutopic endometrium of women with endometriosis Methods-RNA sequencing was used to detect and quantify the transcripts encoded by the whole genome in the eutopic endometrium. Mid-secretory phase eutopic endometrial samples from women with (n=4) and without endometriosis (n=4) were processed for RNA sequencing and the data were compared to identify the transcripts displaying differential abundance in women with endometriosis, compared to those without endometriosis (controls)
2021-03-28 | GSE153740 | GEO
Project description:Purpose- To identify the pathways and processes that are dysregulated in the eutopic endometrium of women with endometriosis Methods- RNA sequencing was used to detect and quantify the transcripts encoded by the whole genome in the eutopic endometrium. Mid-proliferative phase eutopic endometrial samples from women with (n=4) and without endometriosis (n=3) were processed for RNA sequencing and the data were compared to identify the transcripts displaying differential abundance in women with endometriosis, compared to those without endometriosis (controls)
2021-03-28 | GSE153739 | GEO
Project description:Uterine Atlas Endometriosis
Endometriosis is a chronic inflammatory disease driven by oestrogen, affecting around 10% of women of child-bearing again world-wide. It is described by the presence of endometrium-like tissue outside of the uterus (ectopic endometriosis tissue) and debilitating chronic pain. There is a lack of understanding of endometriosis pathogenesis, as well as cellular composition of both the eutopic endometrium and ectopic endometriosis tissue of endometriosis patients.There are therefore two main aims for this study. Using single cell genomics and spatial methods we aim to:
I) characterise endometrial cellular census in women with and without endometriosis
II) characterise cellular census of ectopic endometriosis tissue
Furthermore, we aim to establish endometrial organoids and endometriosis organoids from the samples collected and characterise these using single cell genomics and spatial methods.
This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
| EGAS00001004725 | EGA
Project description:Endometriosis is a benign gynecological disease characterized by the presence of endometrial-like cells outside the uterus. The prevalence of this disease reaches 10-15% in women of reproductive age which accounts for approximately 200 mln of women worldwide. The existing therapeutic approaches include medications and surgical options, but the risk of post-treatment recurrence of endometriosis remains high. There are currently no effective biomarkers of endometriosis in clinical practice and laparoscopy remains the gold standard for its diagnosis. However, laparoscopy is highly invasive procedure that frequently leads to complications and cannot be used as a routine screening test. In this study we profiled by RNA sequencing 52 endometrial pathological samples and 12 corresponding normal human tissues. We performed two-step differential gene expression analysis of endometrial samples and lesions of patients with endometriosis in comparison with normal reproductive tissues. Based on this analysis we generated a characteristic signature of five genes downregulated in endometriosis with respect to healthy endometrium. The 5-gene expression signature identified had significant predictive power (AUC>0.85) thus suggesting that the marker gene set identified can be used for a low invasive molecular diagnostic of endometriosis. Our data also suggest that the statistical method of five-fold cross validation of differential gene expression analysis procedure can be used for the ability to generate robust gene signatures using real-world clinical data.
2019-10-01 | GSE135485 | GEO
Project description:We performed gene expression analysis human peritoneal endometriosis lesions, eutopic endometrium from endometriosis patients and peritoneum form endometriosis patients.The goal of the study was to analyse gene expression differences between peritoneal endometriosis lesion and eutopic endometrium and peritoneal endometriosis lesion and peritoneum.
2012-12-06 | E-MTAB-694 | biostudies-arrayexpress
Project description:Introduction: Endometriosis is a debilitating condition where endometrial-like tissue grows outside the uterus and rarely in distant sites such as the lungs, heart and brain. Symptoms are severe chronic pain, bladder/bowel problems, painful sex and infertility. Differences in endometrium between women with and without endometriosis have not been constructive, and there is still paucity in its pathogenesis and non-invasive diagnostic test, leading to delayed diagnosis (~10 years) and effective treatment. Menstrual fluid (MF) gives a peak into endometrial health. Could MF extracellular vesicles (EVs) point to the pathogenesis and a non-invasive diagnostic tool for endometriosis? Aims: To identify differences in protein-cargo in MF-EVs from women with and without endometriosis, define their functional contribution to mesothelial niche cells for lesion establishment and determine whether MF-sEV can be a non-invasive endometriosis diagnostic tool. Methods: MF was collected from women with and without endometriosis on day 2 of menses and EVs isolated using differential centrifugation. MF-EVs were identified by size, morphology and protein markers and subjected to TMT- quantitative proteomics assay. Differentially expressed proteins were analysed. Ctrl and Endo MF-sEV were co-cultured with mesothelial cells to assess for uptake and changes in the adhesive and junctional proteins. Results: Spherical-shaped MF-EVs were identified with mean diameters of 121.9 nm (Endo) and 123.8 nm (Ctrl), expressing TSG101, Alix and Syntenin-1 sEV proteins. MF-sEV proteins originated from endometrial cells: stem cells, leucocytes, and endothelial and smooth muscle cells, validating the endometrial origin of the MF-EVs. 77% of identified proteins were differentially expressed. In endo-MF-sEV, proteins regulating HGF receptor (anoikis), cellular senescence and multiple apoptotic, nitrogen compound metabolic processes and TRP channels signalling (immunity and contraction regulation) were decreased, potentially promoting lesion establishment, survival and pain. Similarly, antibacterial peptides (cathelicidin, mucin-1, lipocalin2 and serum amyloid A) were downregulated. The majority of proteins were significantly downregulated in endometriosis suggesting a dysregulation in the protein synthesis and cellular communication for homeostasis. Two-thirds of upregulated proteins were immunoglobulins indicating inflammatory pathogenesis. This was reflected by an increased Endo-MF-EVs uptake by mesothelial cells, with decreased scribble resulting in decreased cellular resistance and permeability. Conclusions: MF-EVs contain vital information indicative of endometriosis pathogenesis and may be the key to developing a simple and early diagnostic tool.
2025-05-06 | PXD042101 | Pride