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The role of gene to gene interaction in the breast’s genomic signature of pregnancy

Full-term pregnancy at an early age confers long-term protection against breast cancer. Published data shows a specific transcriptomic profile controlling chromatin remodeling that could play a relevant role in the pregnancy-induced protection. This process of chromatin remodeling, induced by the br...

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Autores principales: Gutiérrez-Díez, Pedro J., Gomez-Pilar, Javier, Hornero, Roberto, Martínez-Rodríguez, Julia, López-Marcos, Miguel A., Russo, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846553/
https://www.ncbi.nlm.nih.gov/pubmed/33514799
http://dx.doi.org/10.1038/s41598-021-81704-8
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author Gutiérrez-Díez, Pedro J.
Gomez-Pilar, Javier
Hornero, Roberto
Martínez-Rodríguez, Julia
López-Marcos, Miguel A.
Russo, Jose
author_facet Gutiérrez-Díez, Pedro J.
Gomez-Pilar, Javier
Hornero, Roberto
Martínez-Rodríguez, Julia
López-Marcos, Miguel A.
Russo, Jose
author_sort Gutiérrez-Díez, Pedro J.
collection PubMed
description Full-term pregnancy at an early age confers long-term protection against breast cancer. Published data shows a specific transcriptomic profile controlling chromatin remodeling that could play a relevant role in the pregnancy-induced protection. This process of chromatin remodeling, induced by the breast differentiation caused by the first full-term pregnancy, has mainly been measured by the expression level of genes individually considered. However, genes equally expressed during the process of chromatin remodeling may behave differently in their interaction with other genes. These changes at the gene cluster level could constitute an additional dimension of chromatin remodeling and therefore of the pregnancy-induced protection. In this research, we apply Information and Graph Theories, Differential Co-expression Network Analysis, and Multiple Regression Analysis, specially designed to examine structural and informational aspects of data sets, to analyze this question. Our findings demonstrate that, independently of the changes in the gene expression at the individual level, there are significant changes in gene–gene interactions and gene cluster behaviors. These changes indicate that the parous breast, through the process of early full-term pregnancy, generates more modules in the networks, with higher density, and a genomic structure performing additional and more complex functions than those found in the nulliparous breast.
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spelling pubmed-78465532021-02-01 The role of gene to gene interaction in the breast’s genomic signature of pregnancy Gutiérrez-Díez, Pedro J. Gomez-Pilar, Javier Hornero, Roberto Martínez-Rodríguez, Julia López-Marcos, Miguel A. Russo, Jose Sci Rep Article Full-term pregnancy at an early age confers long-term protection against breast cancer. Published data shows a specific transcriptomic profile controlling chromatin remodeling that could play a relevant role in the pregnancy-induced protection. This process of chromatin remodeling, induced by the breast differentiation caused by the first full-term pregnancy, has mainly been measured by the expression level of genes individually considered. However, genes equally expressed during the process of chromatin remodeling may behave differently in their interaction with other genes. These changes at the gene cluster level could constitute an additional dimension of chromatin remodeling and therefore of the pregnancy-induced protection. In this research, we apply Information and Graph Theories, Differential Co-expression Network Analysis, and Multiple Regression Analysis, specially designed to examine structural and informational aspects of data sets, to analyze this question. Our findings demonstrate that, independently of the changes in the gene expression at the individual level, there are significant changes in gene–gene interactions and gene cluster behaviors. These changes indicate that the parous breast, through the process of early full-term pregnancy, generates more modules in the networks, with higher density, and a genomic structure performing additional and more complex functions than those found in the nulliparous breast. Nature Publishing Group UK 2021-01-29 /pmc/articles/PMC7846553/ /pubmed/33514799 http://dx.doi.org/10.1038/s41598-021-81704-8 Text en © The Author(s) 2021 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 Article
Gutiérrez-Díez, Pedro J.
Gomez-Pilar, Javier
Hornero, Roberto
Martínez-Rodríguez, Julia
López-Marcos, Miguel A.
Russo, Jose
The role of gene to gene interaction in the breast’s genomic signature of pregnancy
title The role of gene to gene interaction in the breast’s genomic signature of pregnancy
title_full The role of gene to gene interaction in the breast’s genomic signature of pregnancy
title_fullStr The role of gene to gene interaction in the breast’s genomic signature of pregnancy
title_full_unstemmed The role of gene to gene interaction in the breast’s genomic signature of pregnancy
title_short The role of gene to gene interaction in the breast’s genomic signature of pregnancy
title_sort role of gene to gene interaction in the breast’s genomic signature of pregnancy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846553/
https://www.ncbi.nlm.nih.gov/pubmed/33514799
http://dx.doi.org/10.1038/s41598-021-81704-8
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