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Molecular signature of eutopic endometrium in endometriosis based on the multi-omics integrative synthesis

PURPOSE: To synthesise data from genome-wide studies reporting molecular signature of eutopic endometrium through the phases of the menstrual cycle in endometriosis. METHODS: Extraction of data from publications reporting genetic signatures characterising endometrium associated with endometriosis. T...

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Autores principales: Prašnikar, Erika, Knez, Jure, Kovačič, Borut, Kunej, Tanja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376782/
https://www.ncbi.nlm.nih.gov/pubmed/32474803
http://dx.doi.org/10.1007/s10815-020-01833-3
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author Prašnikar, Erika
Knez, Jure
Kovačič, Borut
Kunej, Tanja
author_facet Prašnikar, Erika
Knez, Jure
Kovačič, Borut
Kunej, Tanja
author_sort Prašnikar, Erika
collection PubMed
description PURPOSE: To synthesise data from genome-wide studies reporting molecular signature of eutopic endometrium through the phases of the menstrual cycle in endometriosis. METHODS: Extraction of data from publications reporting genetic signatures characterising endometrium associated with endometriosis. The nomenclature of extracted differentially expressed transcripts and proteins was adopted according to the HUGO Gene Nomenclature Committee (HGNC). Loci were further sorted according to the different phases of the menstrual cycle, i.e. menstrual (M), proliferative (P), secretory (S), early-secretory (ES), mid-secretory (MS), late-secretory (LS), and not specified (N/S) if the endometrial dating was not available. Enrichment analysis was performed using the DAVID bioinformatics tool. RESULTS: Altered molecular changes were reported by 21 studies, including 13 performed at the transcriptomic, 6 at proteomic, and 2 at epigenomic level. Extracted data resulted in a catalogue of total 670 genetic causes with available 591 official gene symbols, i.e. M = 3, P = 188, S = 81, ES = 82, MS = 173, LS = 36, and N/S = 28. Enriched pathways included oestrogen signalling pathway, extracellular matrix organization, and endothelial cell chemotaxis. Our study revealed that knowledge of endometrium biology in endometriosis is fragmented due to heterogeneity of published data. However, 15 genes reported as dysregulated by at least two studies within the same phase and 33 significantly enriched GO-BP terms/KEGG pathways associated with different phases of the menstrual cycle were identified. CONCLUSIONS: A multi-omics insight into molecular patterns underlying endometriosis could contribute towards identification of endometrial pathological mechanisms that impact fertility capacities of women with endometriosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10815-020-01833-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-73767822020-07-27 Molecular signature of eutopic endometrium in endometriosis based on the multi-omics integrative synthesis Prašnikar, Erika Knez, Jure Kovačič, Borut Kunej, Tanja J Assist Reprod Genet Technological Innovations PURPOSE: To synthesise data from genome-wide studies reporting molecular signature of eutopic endometrium through the phases of the menstrual cycle in endometriosis. METHODS: Extraction of data from publications reporting genetic signatures characterising endometrium associated with endometriosis. The nomenclature of extracted differentially expressed transcripts and proteins was adopted according to the HUGO Gene Nomenclature Committee (HGNC). Loci were further sorted according to the different phases of the menstrual cycle, i.e. menstrual (M), proliferative (P), secretory (S), early-secretory (ES), mid-secretory (MS), late-secretory (LS), and not specified (N/S) if the endometrial dating was not available. Enrichment analysis was performed using the DAVID bioinformatics tool. RESULTS: Altered molecular changes were reported by 21 studies, including 13 performed at the transcriptomic, 6 at proteomic, and 2 at epigenomic level. Extracted data resulted in a catalogue of total 670 genetic causes with available 591 official gene symbols, i.e. M = 3, P = 188, S = 81, ES = 82, MS = 173, LS = 36, and N/S = 28. Enriched pathways included oestrogen signalling pathway, extracellular matrix organization, and endothelial cell chemotaxis. Our study revealed that knowledge of endometrium biology in endometriosis is fragmented due to heterogeneity of published data. However, 15 genes reported as dysregulated by at least two studies within the same phase and 33 significantly enriched GO-BP terms/KEGG pathways associated with different phases of the menstrual cycle were identified. CONCLUSIONS: A multi-omics insight into molecular patterns underlying endometriosis could contribute towards identification of endometrial pathological mechanisms that impact fertility capacities of women with endometriosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10815-020-01833-3) contains supplementary material, which is available to authorized users. Springer US 2020-05-30 2020-07 /pmc/articles/PMC7376782/ /pubmed/32474803 http://dx.doi.org/10.1007/s10815-020-01833-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Technological Innovations
Prašnikar, Erika
Knez, Jure
Kovačič, Borut
Kunej, Tanja
Molecular signature of eutopic endometrium in endometriosis based on the multi-omics integrative synthesis
title Molecular signature of eutopic endometrium in endometriosis based on the multi-omics integrative synthesis
title_full Molecular signature of eutopic endometrium in endometriosis based on the multi-omics integrative synthesis
title_fullStr Molecular signature of eutopic endometrium in endometriosis based on the multi-omics integrative synthesis
title_full_unstemmed Molecular signature of eutopic endometrium in endometriosis based on the multi-omics integrative synthesis
title_short Molecular signature of eutopic endometrium in endometriosis based on the multi-omics integrative synthesis
title_sort molecular signature of eutopic endometrium in endometriosis based on the multi-omics integrative synthesis
topic Technological Innovations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376782/
https://www.ncbi.nlm.nih.gov/pubmed/32474803
http://dx.doi.org/10.1007/s10815-020-01833-3
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