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Molecular Mechanisms of Endometriosis Revealed Using Omics Data

Endometriosis is a gynecological disorder prevalent in women of reproductive age. The primary symptoms include dysmenorrhea, irregular menstruation, and infertility. However, the pathogenesis of endometriosis remains unclear. With the advent of high-throughput technologies, various omics experiments...

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Autor principal: Cho, Seong Beom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452455/
https://www.ncbi.nlm.nih.gov/pubmed/37626707
http://dx.doi.org/10.3390/biomedicines11082210
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author Cho, Seong Beom
author_facet Cho, Seong Beom
author_sort Cho, Seong Beom
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description Endometriosis is a gynecological disorder prevalent in women of reproductive age. The primary symptoms include dysmenorrhea, irregular menstruation, and infertility. However, the pathogenesis of endometriosis remains unclear. With the advent of high-throughput technologies, various omics experiments have been conducted to identify genes related to the pathophysiology of endometriosis. This review highlights the molecular mechanisms underlying endometriosis using omics. When genes identified in omics experiments were compared with endometriosis disease genes identified in independent studies, the number of overlapping genes was moderate. However, the characteristics of these genes were found to be equivalent when functional gene set enrichment analysis was performed using gene ontology and biological pathway information. These findings indicate that omics technology provides invaluable information regarding the pathophysiology of endometriosis. Moreover, the functional characteristics revealed using enrichment analysis provide important clues for discovering endometriosis disease genes in future research.
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spelling pubmed-104524552023-08-26 Molecular Mechanisms of Endometriosis Revealed Using Omics Data Cho, Seong Beom Biomedicines Review Endometriosis is a gynecological disorder prevalent in women of reproductive age. The primary symptoms include dysmenorrhea, irregular menstruation, and infertility. However, the pathogenesis of endometriosis remains unclear. With the advent of high-throughput technologies, various omics experiments have been conducted to identify genes related to the pathophysiology of endometriosis. This review highlights the molecular mechanisms underlying endometriosis using omics. When genes identified in omics experiments were compared with endometriosis disease genes identified in independent studies, the number of overlapping genes was moderate. However, the characteristics of these genes were found to be equivalent when functional gene set enrichment analysis was performed using gene ontology and biological pathway information. These findings indicate that omics technology provides invaluable information regarding the pathophysiology of endometriosis. Moreover, the functional characteristics revealed using enrichment analysis provide important clues for discovering endometriosis disease genes in future research. MDPI 2023-08-07 /pmc/articles/PMC10452455/ /pubmed/37626707 http://dx.doi.org/10.3390/biomedicines11082210 Text en © 2023 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Cho, Seong Beom
Molecular Mechanisms of Endometriosis Revealed Using Omics Data
title Molecular Mechanisms of Endometriosis Revealed Using Omics Data
title_full Molecular Mechanisms of Endometriosis Revealed Using Omics Data
title_fullStr Molecular Mechanisms of Endometriosis Revealed Using Omics Data
title_full_unstemmed Molecular Mechanisms of Endometriosis Revealed Using Omics Data
title_short Molecular Mechanisms of Endometriosis Revealed Using Omics Data
title_sort molecular mechanisms of endometriosis revealed using omics data
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452455/
https://www.ncbi.nlm.nih.gov/pubmed/37626707
http://dx.doi.org/10.3390/biomedicines11082210
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