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:Endometriosis is a leading cause of pain and infertility affecting millions of women globally. Biological and genetic effects on DNA methylation (DNAm) can influence gene regulation and contribute to complex disease. Herein, we characterize variation in endometrial DNAm and its association with menstrual cycle phase, endometriosis, and genetic variants through analysis of genome-wide genotype data and methylation at 759,345 DNAm sites in endometrial samples from 984 deeply-phenotyped participants. We estimate that 15.4% of the variation in endometriosis is captured by DNAm and identify significant differences in DNAm profiles and DNAm networks, associated with endometriosis, endometriosis sub-phenotypes and menstrual cycle phase, including opening of the window for embryo implantation. DNAm quantitative trait locus (mQTL) analysis identified 118,185 independent cis-mQTLs including 51 associated with risk of endometriosis highlighting candidate genes contributing to disease risk. Our work provides functional evidence for epigenetic targets contributing to endometriosis risk and pathogenesis. Data generated serve as a valuable resource for understanding tissue-specific effects of methylation on endometrial biology in health and disease.
2023-09-12 | GSE223817 | GEO