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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-10452455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT choseongbeom molecularmechanismsofendometriosisrevealedusingomicsdata |