Discovery study in endometrial samples using RNA-HighSeq to build classifiers to differentiate between control patients and adenomyosis, ovarian endometriosis and deep infiltrating endometriosis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA798414 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17656227_1.fastq.gz | Fastqsanger.gz | |||
| SRR17656227_2.fastq.gz | Fastqsanger.gz | |||
| SRR17656228_1.fastq.gz | Fastqsanger.gz | |||
| SRR17656228_2.fastq.gz | Fastqsanger.gz | |||
| SRR17656229_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 74 |
Similar Datasets
Project description:A discovery study using RNA-HighSeq from 37 endometrial biopsies was performed to build classifiers that differentiate between control patients and adenomyosis, ovarian endometriosis and deep infiltrating endometriosis. Total RNA was extracted from endometrial biopsies. We found an AUC of 0.97 where the classifier differentiated almost perfectly all three diseases together from the control group when including 11 phenotypic variables of the patients in the classifier.
2024-01-31 | GSE193928 | GEO
Project description:Abstract: Objective: Adenomyosis is a clinical disorder defined by the presence of endometrial glands and stroma within the myometrium, the pathogenesis of which is poorly understood. We postulate that dysregulation of genes and pathways in eutopic endometrium may predispose to ectopic implantation. No study, to our knowledge, has examined the global transcriptome of isolated eutopic endometrium from women with clinically significant adenomyosis. Design: Laboratory-based study with full IRB approval and consents. Material and Methods: Endometrial sampling was performed on hysterectomy specimens (proliferative phase) from symptomatic women with pathologically-confirmed diffuse adenomyosis (n=3). Controls (n=5) were normo-ovulatory subjects without adenomyosis. All subjects were free from leiomyoma, endometriosis, and hormonal exposures. Isolated purified total RNA was subjected to microarray analysis using the Gene 1.0 ST Affymetrix platform. Data were analyzed with GeneSpring and Ingenuity Pathway analysis. Validation of several genes was undertaken by QRT-PCR. Results: Comparison of transcriptomes of proliferative endometrium from women with and without adenomyosis revealed 140 up-regulated and 884 down-regulated genes in samples from women with adenomyosis compared to controls. Highly differentially expressed genes include those involved in regulation of apoptopsis, steroid hormone responsiveness, and proteins involved in extracellular matrix remodeling, as well as microRNAs of unknown significance. Affected canonical pathways included eukaryotic initiation factor 2 signaling, oxidative phosphorylation, mitochondrial dysfunction, estrogen receptor signaling, and mTOR signaling. Conclusions: The eutopic endometrium in patients with adenomyosis has fundamental abnormalities that may predispose to invasion and survival beyond the myometrial interface. Key Words: adenomyosis, endometrium, microarray, microRNA, endometriosis, apoptosis, signaling. Abstract: Objective: Adenomyosis is a clinical disorder defined by the presence of endometrial glands and stroma within the myometrium, the pathogenesis of which is poorly understood. We postulate that dysregulation of genes and pathways in eutopic endometrium may predispose to ectopic implantation. No study, to our knowledge, has examined the global transcriptome of isolated eutopic endometrium from women with clinically significant adenomyosis. Design: Laboratory-based study with full IRB approval and consents. Material and Methods: Endometrial sampling was performed on hysterectomy specimens (proliferative phase) from symptomatic women with pathologically-confirmed diffuse adenomyosis (n=3). Controls (n=5) were normo-ovulatory subjects without adenomyosis. All subjects were free from leiomyoma, endometriosis, and hormonal exposures. Isolated purified total RNA was subjected to microarray analysis using the Gene 1.0 ST Affymetrix platform. Data were analyzed with GeneSpring and Ingenuity Pathway analysis. Validation of several genes was undertaken by QRT-PCR. Results: Comparison of transcriptomes of proliferative endometrium from women with and without adenomyosis revealed 140 up-regulated and 884 down-regulated genes in samples from women with adenomyosis compared to controls. Highly differentially expressed genes include those involved in regulation of apoptopsis, steroid hormone responsiveness, and proteins involved in extracellular matrix remodeling, as well as microRNAs of unknown significance. Affected canonical pathways included eukaryotic initiation factor 2 signaling, oxidative phosphorylation, mitochondrial dysfunction, estrogen receptor signaling, and mTOR signaling. Conclusions: The eutopic endometrium in patients with adenomyosis has fundamental abnormalities that may predispose to invasion and survival beyond the myometrial interface. Key Words: adenomyosis, endometrium, microarray, microRNA, endometriosis, apoptosis, signaling. A total of 8 samples were used and analyzed by disease state. Endometrial samples from hysterectomy specimens in proliferative phase of menstrual cycle from symptomatic women with pathologically-confirmed diffuse adenomyosis were compared with endometrial samples from normo-ovulatory healthy subjects with no endometrial or uterine pathology.
2016-03-03 | E-GEOD-78851 | biostudies-arrayexpress
Project description:Adenomyosis, defined as ectopic endometrial tissue within the myometrium, can often be misdiagnosed as multiple uterine leiomyomata or endometrial thickening. We therefore performed a combined mRNA and long noncoding (lnc)RNA microarray and bioinformatic analysis of eutopic and ectopic endometrium in women with adenomyosis to better understand its pathogenesis and help in the development of a semi-invasive diagnostic test. A total of 586 mRNAs were increased and 305 mRNAs decreased in ectopic endometrium of adenomyosis compared with eutopic endometrium, while 388 lncRNA transcripts were up-regulated and 188 down-regulated in ectopic compared with paired eutopic endometrial tissue. Bioinformatic analysis suggested a series of metabolic and molecular abnormalities in adenomyosis, which have many similarities with endometriosis. Furthermore, our study constitutes the first known report of lncRNA expression patterns in human adenomyosis ectopic and eutopic endometrial tissue. Two-condition experiment, ectopic endometrium vs. eutopic endometrium. 3 samples,self-control
2015-10-28 | E-GEOD-74373 | biostudies-arrayexpress
Project description:Abstract: Objective: Adenomyosis is a clinical disorder defined by the presence of endometrial glands and stroma within the myometrium, the pathogenesis of which is poorly understood. We postulate that dysregulation of genes and pathways in eutopic endometrium may predispose to ectopic implantation. No study, to our knowledge, has examined the global transcriptome of isolated eutopic endometrium from women with clinically significant adenomyosis. Design: Laboratory-based study with full IRB approval and consents. Material and Methods: Endometrial sampling was performed on hysterectomy specimens (proliferative phase) from symptomatic women with pathologically-confirmed diffuse adenomyosis (n=3). Controls (n=5) were normo-ovulatory subjects without adenomyosis. All subjects were free from leiomyoma, endometriosis, and hormonal exposures. Isolated purified total RNA was subjected to microarray analysis using the Gene 1.0 ST Affymetrix platform. Data were analyzed with GeneSpring and Ingenuity Pathway analysis. Validation of several genes was undertaken by QRT-PCR. Results: Comparison of transcriptomes of proliferative endometrium from women with and without adenomyosis revealed 140 up-regulated and 884 down-regulated genes in samples from women with adenomyosis compared to controls. Highly differentially expressed genes include those involved in regulation of apoptopsis, steroid hormone responsiveness, and proteins involved in extracellular matrix remodeling, as well as microRNAs of unknown significance. Affected canonical pathways included eukaryotic initiation factor 2 signaling, oxidative phosphorylation, mitochondrial dysfunction, estrogen receptor signaling, and mTOR signaling. Conclusions: The eutopic endometrium in patients with adenomyosis has fundamental abnormalities that may predispose to invasion and survival beyond the myometrial interface. Key Words: adenomyosis, endometrium, microarray, microRNA, endometriosis, apoptosis, signaling. Abstract: Objective: Adenomyosis is a clinical disorder defined by the presence of endometrial glands and stroma within the myometrium, the pathogenesis of which is poorly understood. We postulate that dysregulation of genes and pathways in eutopic endometrium may predispose to ectopic implantation. No study, to our knowledge, has examined the global transcriptome of isolated eutopic endometrium from women with clinically significant adenomyosis. Design: Laboratory-based study with full IRB approval and consents. Material and Methods: Endometrial sampling was performed on hysterectomy specimens (proliferative phase) from symptomatic women with pathologically-confirmed diffuse adenomyosis (n=3). Controls (n=5) were normo-ovulatory subjects without adenomyosis. All subjects were free from leiomyoma, endometriosis, and hormonal exposures. Isolated purified total RNA was subjected to microarray analysis using the Gene 1.0 ST Affymetrix platform. Data were analyzed with GeneSpring and Ingenuity Pathway analysis. Validation of several genes was undertaken by QRT-PCR. Results: Comparison of transcriptomes of proliferative endometrium from women with and without adenomyosis revealed 140 up-regulated and 884 down-regulated genes in samples from women with adenomyosis compared to controls. Highly differentially expressed genes include those involved in regulation of apoptopsis, steroid hormone responsiveness, and proteins involved in extracellular matrix remodeling, as well as microRNAs of unknown significance. Affected canonical pathways included eukaryotic initiation factor 2 signaling, oxidative phosphorylation, mitochondrial dysfunction, estrogen receptor signaling, and mTOR signaling. Conclusions: The eutopic endometrium in patients with adenomyosis has fundamental abnormalities that may predispose to invasion and survival beyond the myometrial interface. Key Words: adenomyosis, endometrium, microarray, microRNA, endometriosis, apoptosis, signaling.
2016-03-03 | GSE78851 | GEO
Project description:Objective: To identify differentially expressed long noncoding RNA in the eutopic endometrium tissue of adenomyosis on a genome-wide scale. Patient(s): Seventeen women with adenomyosis and fifteen patients without adenomyosis or endometriosis receiving surgical treatment. Intervention(s): Total RNAs containing long nocoding RNAs was extracted from endometrial tissue obtained during surgery. Main Outcome Measure(s): Differentially expressed lncRNAs and mRNAs were detected by human lncRNA microarray. Result(s): We identified 165 lncRNAs and 612 mRNAs abnormally expressed (P<0.05) in the eutopic endometrium of adenomyosis. Conclusion(s): This study showed for the first time that the lncRNA expression profile was altered in women with adenomyosis.
2016-05-01 | GSE68870 | GEO
Project description:Machine Learning Classifiers for Endometriosis Using Transcriptomics and Methylomics Data [Methylomics]
| PRJNA553570 | ENA
Project description:Machine Learning Classifiers for Endometriosis Using Transcriptomics and Methylomics Data [Transcriptomics]
| PRJNA553574 | ENA
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:Adenomyosis, defined as ectopic endometrial tissue within the myometrium, can often be misdiagnosed as multiple uterine leiomyomata or endometrial thickening. We therefore performed a combined mRNA and long noncoding (lnc)RNA microarray and bioinformatic analysis of eutopic and ectopic endometrium in women with adenomyosis to better understand its pathogenesis and help in the development of a semi-invasive diagnostic test. A total of 586 mRNAs were increased and 305 mRNAs decreased in ectopic endometrium of adenomyosis compared with eutopic endometrium, while 388 lncRNA transcripts were up-regulated and 188 down-regulated in ectopic compared with paired eutopic endometrial tissue. Bioinformatic analysis suggested a series of metabolic and molecular abnormalities in adenomyosis, which have many similarities with endometriosis. Furthermore, our study constitutes the first known report of lncRNA expression patterns in human adenomyosis ectopic and eutopic endometrial tissue.
2015-10-28 | GSE74373 | GEO
Project description:Adenomyosis mostly occurs in the females with reproductive age, and the pathogenesis is not clear. If we want to improve the diagnosis and treatment of adenomyosis, we must fully understand the specific molecular mechanism of adenomyosis. The Arraystar Human m6a-mRNA&lncRNA Epitranscriptomic microarray analysis was performed on endometrial specimens of 3 patients in the human adenomyosis group and 3 patients in the normal control group to compare and screen the m6A marker of adenomyosis, providing reference for clinical treatment.
2022-10-06 | GSE214850 | GEO