2020
DOI: 10.1038/s41597-020-00623-x
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A relational database to identify differentially expressed genes in the endometrium and endometriosis lesions

Abstract: Endometriosis is a common inflammatory estrogen-dependent gynecological disorder, associated with pelvic pain and reduced fertility in women. Several aspects of this disorder and its cellular and molecular etiology remain unresolved. We have analyzed the global gene expression patterns in the endometrium, peritoneum and in endometriosis lesions of endometriosis patients and in the endometrium and peritoneum of healthy women. In this report, we present the EndometDB, an interactive web-based user interface for … Show more

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Cited by 44 publications
(33 citation statements)
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“…To analyze the gene expression of our genes of interest in endometriotic tissue, the ENDOMET Turku Endometriosis Database [ 18 ] was used. We performed database analyses in up to 576 endometriotic samples of ectopic lesions of endometriosis patients and up to 82 healthy control samples.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To analyze the gene expression of our genes of interest in endometriotic tissue, the ENDOMET Turku Endometriosis Database [ 18 ] was used. We performed database analyses in up to 576 endometriotic samples of ectopic lesions of endometriosis patients and up to 82 healthy control samples.…”
Section: Resultsmentioning
confidence: 99%
“…Data Availability Statement: Patient gene expression datasets were retrieved and analyzed using the publicly accessible ENDOMET Turku Endometriosis Database (https://endometdb.utu.fi/, accessed on 15 December 2021) [18]. All experimental data presented in this study are contained in this manuscript.…”
Section: Discussionmentioning
confidence: 99%
“…The expression levels of C3 and C3AR1 genes in control endometrium and various EM lesions (peritoneal, deep and ovarian EM) were analyzed using data extracted from the GEO (Gene Expression Omnibus of the National Center for Biotechnology Information-NCBI) with the series accession number GSE141549. Microarray analysis on samples obtained from 43 endometrium biopsies of healthy woman, 101 endometrium biopsies of EM patients and 190 EM lesions, and data normalization, have been described by Gabriel and colleagues ( 30 ).…”
Section: Methodsmentioning
confidence: 99%
“…EndometDB incorporates the expression data from 115 endometriosis patients and 53 controls, with over 24,000 genes and clinical features. The mRNA expression of estrogen receptor 1 (ESR1), estrogen receptor 2 (ESR2), and CD68 in the endometrium and peritoneum of the control group, and in the eutopic and ectopic endometria and peritoneum of patients with endometriosis were analyzed in EndometDB (https://endometdb.utu.fi/gene_ analysis/) (19). Specifically, all clinical and sample data in the database were selected, and the patients were separated by age.…”
Section: Mrna Expression Of Estrogen Receptors and Cd68 Via Endometdbmentioning
confidence: 99%