Analysis of lncRNA expression in endometriosis infertility, tubal disease infertility and normal subjects
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE262037 | GEO | 2024/03/23
REPOSITORIES: GEO
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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: normal and ectopic endometrium
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Project description:In this study, we performed transcriptomic analysis in ectopic lesions and eutopic endometrial tissues from both fertile and subfertile mice with endometriosis. We identified the positive correlation of the gene signatures between the mouse and human in ectopic lesions. Conserved gene networks were activated in all the ectopic lesions including estradiol, immune, fibrosis, and angiogenesis pathways. The interactions mediated through hormone, cytokine, and growth factor as well as their corresponding receptors were predicted between the ectopic and eutopic endometrium. EGF and WNT signaling were more suppressed in the eutopic endometrium from subfertile mice. Our results revealed that our mouse endometriosis model recapitulates the important transcriptomic changes of endometriosis progression in human ectopic lesions including the essential regulator network and intensive inter-communications between ectopic and eutopic endometrium. Our preclinical animal model for endometriosis will be invaluable to understand etiology and pathophysiology on endometriosis.
2024-05-29 | GSE240392 | GEO
Project description:This project aims at comparing endometrium from women with and without endometriosis during the secretory phase of menstrual cycle. The present results constitute a first step towards identifying potential diagnosis biomarkers and may provide a better understanding of endometriosis especially the etiology of the disease.
2022-04-01 | PXD012981 | Pride
Project description:MIG-6 loss caused progesterone resistance through ERBB2 overexpression in non-receptive endometrium of endometriosis-related infertility. We used microarrays to understand the molecular mechanisms of progesterone resistance in infertility
2019-11-30 | GSE138185 | 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.
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Project description:Gene expression profiling of primary stromal cell cultures isolated from human endometrium and ovarian endometriosis. Samples are derived from the endometrium of 6 healthy patients and the endometriomas of 6 diseased patients. The results indicate the gene expression differences between these two cell populations.
2014-08-01 | GSE58178 | GEO
Project description:The etiology and pathophysiology of endometriosis remain unclear. Accumulating evidence suggests that aberrant mRNA and lncRNA expressions may be involved in the pathogenesis and development of endometriosis. This study therefore aims to survey key TFs, genes and lncRNAs and further understand the mechanism of endometriosis. Paired expression profiling of mRNA and lncRNA in ectopic endometria compared with eutopic endometria were determined by high-throughput sequencing techniques in eight patients with ovarian endometriosis. Our study presents a unique insight into the regulatory network of this enigmatic disorder and possibly provides clues regarding replacement therapy of endometriosis.
2018-02-14 | GSE105764 | GEO
Project description:Gene expression profiling of primary stromal cell cultures isolated from human endometrium and ovarian endometriosis. Samples are derived from the endometrium of 6 healthy patients and the endometriomas of 6 diseased patients. The results indicate the gene expression differences between these two cell populations. Stromal cells were obtained from human normal endometrial tissues and ovarian endometriomas. The tissues were digested enzymatically, and pure stromal cell populations were established.
2014-08-01 | E-GEOD-58178 | biostudies-arrayexpress
Project description:Mechanisms of immune dysregulation against established tumors are relatively well understood. Much less is known about the role of immune effectors against cancer precursor lesions. Endometrioid and clear cell ovarian tumors may partly derive from endometriosis, a commonly diagnosed chronic inflammatory disease. We performed here the most comprehensive immune gene expression analysis of pelvic inflammation in endometriosis and endometriosis-associated ovarian cancer (EAOC). RNA was extracted from 120 paraffin tissue blocks comprising of normal endometrium (n=32), benign endometriosis (n=30), atypical endometriosis (n=15) and EAOC (n=43). Serous tumors (n=15) were included as non-endometriosis associated controls. The immune microenvironment was profiled using Nanostring and the nCounter® GX Human Immunology Kit, comprising probes for a total of 511 immune genes. Please note that 3 normal endometrium samples did not pass the array quality filtering and therefore excluded in the data analyses.
2015-01-07 | E-GEOD-57545 | biostudies-arrayexpress