Plasma microRNA profiles in women with and without endometriosis at different menstrual cycle phases
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Victoria Nisenblat
PROVIDER: E-GEOD-46735 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:We collected the eutopic endometrial biopsy from control women and women with endometriosis at both proliferative and secretory for RNA-seq analysis. We found regardless of endometriosis or not, the menstrual stage differences proliferative vs secretory accounts for the most changes of the transcriptome of all endometrial biopsy samples. Distinct and conserved gene expression patterns were induced by endometriosis at proliferative and secretory phases. From proliferative to secretory phase, endometriosis not only ablated the gene expression changes of some menstrual cycle dependent genes but also stimulated the menstrual cycle dependent expression changes in some new genes suggesting a dyssynchronous endometrium. Furthermore, we found eight endometriosis altered DEGs in our datasets are proximally localized to the endometriosis associated SNP at both proliferative and secretory phases. More interestingly, 75 published endometrial receptivity related genes were altered by endometriosis at secretory phase.
2024-12-31 | GSE272606 | 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:The objectives of the study: 1. Does the phase of the menstrual cycle alter microRNA (miRNA) plasma profiles in healthy women of reproductive age and in women with endometriosis? 2. Does this alter prospects for development of a miRNA-based diagnostic test for endometriosis?
2013-05-09 | GSE46735 | GEO
Project description:Peripheral blood mononuclear cells (PBMCs), including rare circulating stem and progenitor cells (CSPCs), have important yet poorly understood roles in the maintenance and repair of blood vessels and perfused organs. Our hypothesis was that the identities and functions of CSPCs in cardiovascular health could be ascertained by analyzing the patterns of their co-expressed markers in unselected PBMC samples. Because gene microarrays had failed to detect many stem cell-associated genes, we performed quantitative real-time PCR to measure the expression of 45 primitive and tissue differentiation markers in PBMCs from healthy and hypertensive human subjects. We compared these expression levels to the subjects’ demographic and cardiovascular risk factors, including vascular stiffness. The tested marker genes were expressed in all of samples and organized in hierarchical transcriptional network modules. An index of gene expression in one of these modules (metagene), defined as the average standardized relative copy numbers of 15 pluripotency and cardiovascular differentiation markers, was negatively correlated (all p<0.03) with age (R2=-0.23), vascular stiffness (R2=-0.24), and central aortic pressure (R2=-0.19) and positively correlated with body mass index (R2=0.72, in women). The co-expression of three neovascular markers was validated at the single-cell level using mRNA in situ hybridization and immunocytochemistry. The overall gene expression in this cardiovascular module was reduced by 72±22% in the patients compared with controls. However, the compactness of both modules was increased in the patients’ samples, which was reflected in reduced dispersion of their nodes’ degrees of connectivity, suggesting a more primitive character of the patients’ CSPCs. In conclusion, our results show that the relationship between CSPCs and vascular function is encoded in modules of the PBMCs transcriptional network. Furthermore, the coordinated gene expression in these modules can be linked to cardiovascular risk factors and subclinical cardiovascular disease; thus, this measure may be useful for their diagnosis and prognosis. PBMCs were isolated from 26 healthy subjects and 20 hypertensive patients by density gradient centrifugation. Total RNA was extracted from ~ 10^6 cells, reverse transcription was done using 150 ng RNA, and the real-time PCR was done in duplicate for each sample.
2014-07-21 | E-GEOD-56327 | biostudies-arrayexpress
Project description:Endometriosis is associated with aberrant gene expression in the eutopic endometrium of women with disease. To determine if the development of endometriotic lesions directly impacts eutopic endometrial gene expression, we sequentially analyzed the eutopic endometrium across the time course of disease progression in a baboon model of induced disease. Endometriosis was induced in baboons by intraperitoneal inoculation of autologous menstrual endometrium. Eutopic endometria were collected at 9-11 days postovulation) in five time points: 1, 3, 6-7, 10-12, and 15-16 months after disease induction and compared with tissue from disease-free baboons. We used microarrays to identify differentially expressed genes between time points. Sequential analysis of the same animals during disease progression demonstrated an early disease insult and a transitory dominance of an estrogenic phenotype. However, as the disease progressed, a progesterone-resistant phenotype became evident. Endometriosis was experimentally induced in Papio anubis female baboons (n = 4) by intraperitoneal inoculation with menstrual endometrium on two consecutive menstrual cycles. Baboons with spontaneous endometriosis (n = 2) were also included in this study with an unknown duration of disease. Control endometrium was similarly harvested from animals (n = 4) with no previous surgeries and with no visible disease. The progression of disease was monitored in each animal by consecutive laparoscopies and video recording at 1 (n = 2), 3 (n = 4), 6-7 (n = 4), 10-12, (n = 4), and 15-16 (n = 3) months after inoculation during a window of 9-11 days postovulation. Eutopic endometrial tissues were harvested and were snap frozen in liquid nitrogen for RNA extraction. Additionally, menstrual endometrium was harvested on Days 1-2 of menses using a Unimar Pipelle (Cooper Surgical Inc., Shelton, CT) immediately prior to laparoscopy. Blood samples were collected daily from days 7 through 16 postmenstruation of menstrual cycles.
2015-08-27 | E-GEOD-72428 | biostudies-arrayexpress
Project description:The transition of regularly cycling endometrium from the proliferative or Estrogen-dominant phase of the menstrual cycle to the Progesterone-dominant Early and Mid Secretory phases requires wide-spread changes in gene expression that shift the endometrium from a proliferative capacity to a differentiated 'decidual' phenotype in preparation for implantation. This process appears delayed in women with severe endometriosis, suggestive of a progesterone resistant endometrium in this disease. Experiment Overall Design: Endometrial biopsies were obtained from women both with normal endometrial pathologies and no history of endometriosis and from women with laporoscopy proven moderate-severe stage endometriosis. Samples were collected from the Proliferative(PE), Early Secretory (ESE) and Midsecretory (MSE) phases. Samples were then processed for Total RNA isolation and Affymetrix chip hybridization.
2008-04-09 | E-GEOD-6364 | biostudies-arrayexpress
Project description:Endometriosis is a chronic, estrogen-dependent gynecological condition that affects approximately 10% of women of reproductive age. The most widely accepted theory of the etiology of endometriosis includes the process of retrograde menstruation, where menstrual effluent travels up the Fallopian tubes, accesses the peritoneal cavity, and in some people is able to establish endometriotic lesions. Recent reports suggest the uterus is not devoid of bacteria, as was once believed. Thus, the refluxed menstrual effluent may also carry bacteria along with it, and this bacteria has been suggested to contribute to inflammation, and establishment and growth of endometriotic lesions. Here, we sought to compare and contrast the uterine bacteria (endometrial microbiota) in women with surgically confirmed presence or absence of endometriosis using next-generation 16S rRNA gene sequencing. We obtained an average of more than 9000 sequence reads per endometrial biopsy, and found that the endometrial microbiota of women with endometriosis was more diverse (greater Shannon Diversity Index and greater proportion of ‘Other’ taxa) than that of symptomatic controls (women with pelvic pain, but with surgically confirmed absence of endometriosis; diagnosed with other benign gynecological conditions at surgery). The difference in endometrial microbiotas was supported in unsupervised cluster analyses where some clustering of endometrial microbiota by disease status (endometriosis vs. controls) was observed. The bacterial taxa enriched in the endometrial microbiota of women with endometriosis belonged to the Actinobacteria phylum, Oxalobacteraceae and Streptococcaceae families, and Tepidimonas genus, while those enriched in the symptomatic controls (without endometriosis) belonged to the Burkholderiaceae family, and Ralstonia genus. Taken together, our findings suggest the endometrial microbiota is perturbed in people with endometriosis.
2021-04-16 | GSE172172 | GEO
Project description:The objective of the study was to compare the transcriptome of the primary eutopic and ectopic endometrial stromal cells isolated from paired eutopic endometrium and peritoneal lesions from women with endometriosis (N = 5) exposed to normoxic (20% O2) or hypoxic (1% O2) conditions for 48 hours. Induced expression of TGFBI was found in ectopic cells and ectopic & eutopic cells exposed to hypoxia at both RNA and protein (secreted to the culture media) levels. TGFBI gene and protein expression ex vivo in euoptic endometrium of women with endometriosis and controls (women without endometriosis) was found to be increased in the proliferative phase of menstrual cycle compared to secretory phase.
2024-12-07 | GSE269530 | 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:BACKGROUND: Malignant pleural mesothelioma (MPM) is difficult to distinguish from reactive mesothelial proliferations (RMPs). MicroRNAs (miRNAs) are small non-coding RNA-strands (~22 nucleotides) that post-transcriptionally regulate gene-expression. Studies have shown that miRNAs are potential diagnostic markers in other cancers; however, it is uncertain whether miRNAs are useful biomarkers for differentiating MPM from RMP. OBJECTIVE: To identify differentially expressed microRNAs which can aid in the diagnostics of MPM. METHODS: We screened with a quantitative RT-PCR (RT-qPCR)-based platform the expression of 742 miRNAs in formalin-fixed paraffin-embedded (FFPE) preoperative diagnostic biopsies, surgically resected MPM-specimens previously treated with chemotherapy, and corresponding non-neoplastic pleura (NNP) from 5 patients. RESULTS: By comparing the change in microRNA expression in patient-matched tissue samples, we identify 14 miRNAs which exhibit statistically significant deregulation between sample groups. CONCLUSION: Based on this initial screening of miRNA expression, we have identified 14 miRNAs which are potential diagnostic biomarkers and may aid in diffferentiating RMP from MPM. qPCR microRNA expression profiling. MicroRNA expression in surgical tissue samples and presurgery diagnostic biopsies of malignant pleural mesotheliomas was compared to corresponding patient-matched non-neoplastic pleura. Patient-matched diagnostic biopsies from still chemotherapy-naïve patients were included to test for chemotherapy-induced changes in microRNA expression.
2014-01-25 | E-GEOD-54394 | biostudies-arrayexpress