Endometriosis transcription profiling
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE25628 | GEO | 2013/11/30
SECONDARY ACCESSION(S): PRJNA133981
REPOSITORIES: GEO
Similar Datasets
Project description:Endometriosis is a complex pathological condition in which multiple components are involved in the disease development and clinical outcome. Endometriosis is mainly an inflammatory codition estrogen-dependent, with unknown pathogenesis, that is characterized by dissemination of edometrium tissue in ectopic position (ovary or pelvic peritoneum). Two main theories rise the pathologic onset: the presence of retrograde menstruation and celomic metaplasia in the pelvic peritoneum, that can occur for development defects. Endometriosis is related not only to genetic or immunological changes and to environmental pollution factors, as the endocrine interferents. The disease phenotype results from multiple events (genetics and enviromental), thus it is difficult to find a single gene as causative while is more probable that a gene network/s might involved in the onset and mantainement of the disease state. The peculiarity of endometriosis rely on the tissue speificity manteinance in the ectopic position, where it responds to the hormone stimuli as the tissue in the eutopic position. In order to identify genes potentially involved in growth and mainteinance of the ectopic endometrium, we have profiled ectopic (8 samples) and eutopic endometrium (8 samples) from several affected woman in the proliferative phase. As control we used endometrium from normal health donors in the same phase (6 samples).
2013-11-30 | E-GEOD-25628 | biostudies-arrayexpress
Project description:Retrograde menstruation is considered a major reason for the development of endometriosis. The syngeneic transplantation mouse model is an endometriosis animal model that is considered to mimic retrograde menstruation. However, it remains poorly understood which genetic signatures of endometriosis are reflected in this model. Here, we employed an in vivo syngeneic mouse endometriosis model and identified differentially expressed genes (DEGs) between the ectopic and eutopic tissues using microarray analysis.
2022-02-28 | GSE190209 | GEO
Project description:Endometriosis, an estrogen-dependent, progesterone-resistant, inflammatory disorder affects 10% of reproductive-age women. It is diagnosed and staged at surgery, resulting in an 11-year latency from symptom onset to diagnosis, underscoring the need for less invasive, less expensive approaches. Since the uterine lining (endometrium) in women with endometriosis has altered molecular profiles, we tested whether molecular classification of this tissue can distinguish and stage disease. We developed classifiers using genomic data from n=148 archived endometrial samples from women with endometriosis or without endometriosis (normal controls or with other common uterine/pelvic pathologies) across the menstrual cycle and evaluated their performance on independent sample sets. Classifiers were trained separately on samples in specific hormonal milieu, using margin tree classification, and accuracies were scored on independent validation samples. Classification of samples from women with endometriosis or no endometriosis involved two binary decisions each based on expression of specific genes. These first distinguished presence or absence of uterine/pelvic pathology and then no endometriosis from endometriosis, with the latter further classified according to severity (minimal/mild or moderate/severe). Best performing classifiers identified endometriosis with 90-100% accuracy, were cycle phase-specific or independent, and utilized relatively few genes to determine disease and severity. Differential gene expression and pathway analyses revealed immune activation, altered steroid and thyroid hormone signaling/metabolism and growth factor signaling in endometrium of women with endometriosis. Similar findings were observed with other disorders versus controls. Thus, classifier analysis of genomic data from endometrium can detect and stage pelvic endometriosis with high accuracy, dependent or independent of hormonal milieu. We propose that limited classifier candidate-genes are of high value in developing diagnostics and identifying therapeutic targets. Discovery of endometrial molecular differences in the presence of endometriosis and other uterine/pelvic pathologies raises the broader biological question of their impact on the steroid hormone response and normal functions of this tissue. We analyzed endometrial samples from n=148 women without or with endometriosis and/or other uterine/pelvic pathologies, using whole genome microarrays.
2014-10-01 | E-GEOD-51981 | biostudies-arrayexpress
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 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, an estrogen-dependent, progesterone-resistant, inflammatory disorder affects 10% of reproductive-age women. It is diagnosed and staged at surgery, resulting in an 11-year latency from symptom onset to diagnosis, underscoring the need for less invasive, less expensive approaches. Since the uterine lining (endometrium) in women with endometriosis has altered molecular profiles, we tested whether molecular classification of this tissue can distinguish and stage disease. We developed classifiers using genomic data from n=148 archived endometrial samples from women with endometriosis or without endometriosis (normal controls or with other common uterine/pelvic pathologies) across the menstrual cycle and evaluated their performance on independent sample sets. Classifiers were trained separately on samples in specific hormonal milieu, using margin tree classification, and accuracies were scored on independent validation samples. Classification of samples from women with endometriosis or no endometriosis involved two binary decisions each based on expression of specific genes. These first distinguished presence or absence of uterine/pelvic pathology and then no endometriosis from endometriosis, with the latter further classified according to severity (minimal/mild or moderate/severe). Best performing classifiers identified endometriosis with 90-100% accuracy, were cycle phase-specific or independent, and utilized relatively few genes to determine disease and severity. Differential gene expression and pathway analyses revealed immune activation, altered steroid and thyroid hormone signaling/metabolism and growth factor signaling in endometrium of women with endometriosis. Similar findings were observed with other disorders versus controls. Thus, classifier analysis of genomic data from endometrium can detect and stage pelvic endometriosis with high accuracy, dependent or independent of hormonal milieu. We propose that limited classifier candidate-genes are of high value in developing diagnostics and identifying therapeutic targets. Discovery of endometrial molecular differences in the presence of endometriosis and other uterine/pelvic pathologies raises the broader biological question of their impact on the steroid hormone response and normal functions of this tissue.
2014-10-01 | GSE51981 | 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
2011-05-09 | GSE23339 | GEO
Project description:Endometriosis is a common gynecological disease of women in reproductive age, and is primarily thought to arise from retrograde menstruation and implantation of endometrium, mostly into the peritoneal cavity. The condition is characterized by a chronic, unresolved inflammatory process, within which oxidative stress likely plays a critical role. Although elevated reactive oxygen species (ROS) and oxidative stress have previously been postulated as being involved in endometriosis pathogenesis, we set out for a more systematic study to identify novel factors defining oxidative stress in ectopic peritoneal lesions. Using combined proteomic and transcriptomic approaches, we identified novel targets, including upregulated pro-oxidative enzymes such as amine oxidase 3/vascular adhesion protein 1 (AOC3/VAP1), as well as downregulated protective factors such as alkenal reductase PTGR1 or methionine sulfoxide reductase, supporting the observation of increased oxidative protein modification in ectopic lesions and peritoneal fluid. The observed ROS-derived 4-hydroxy-2-nonenal-induced interleukin (IL)-8 release from monocytes indicates a further pathomechanism, whereby elevated IL-8 levels promote further immune cell infiltration and angiogenesis in lesions.
2020-05-26 | PXD006553 | Pride
Project description:We profiled transcriptomes of >370,000 individual cells from endometriomas (n=8), endometriosis (n=28), eutopic endometrium (n=10), unaffected ovary (n=4) and endometriosis-free peritoneum (n=4) to create a cellular atlas of endometrial-type epithelial cells, stromal cells, and microenvironmental cell populations across tissue sites.
2022-10-11 | GSE213216 | GEO
Project description:Endometriosis is a benign gynecological condition that causes significant morbidity due to reduced fertility, pelvic pain and inflammatory dysfunctions. High-fat dietary intake has been linked to higher systemic inflammation and oxidative stress, which are both features of women with endometriosis. We evaluated the effects of high-fat diet (HFD) on endometriosis progression using immunocompetent mouse model wherein ectopic lesion was induced in wildtype and kruppel-like factor 9 (KLF9)- null donor mice. Results showed that HFD leads to increased ectopic lesion numbers and higher body weight gain. The HFD-promotion of lesion establishment was associated with decreased stromal estrogen receptor 1 and progesterone receptor expression, increased macrophage infiltration, and enhanced expression of pro-inflammarory and pro-oxidative stress pathway genes. Further, lesion-bearing mice had higher peritoneal fluid TNF-α and elevated local/systemic redox status than control-fed mice.
2017-04-23 | GSE80603 | GEO