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Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity

BACKGROUND: The Collaborative Cross (CC) mouse population is a valuable resource to study the genetic basis of complex traits, such as obesity. Although the development of obesity is influenced by environmental factors, underlying genetic mechanisms play a crucial role in the response to these facto...

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Autores principales: Binenbaum, Ilona, Atamni, Hanifa Abu-Toamih, Fotakis, Georgios, Kontogianni, Georgia, Koutsandreas, Theodoros, Pilalis, Eleftherios, Mott, Richard, Himmelbauer, Heinz, Iraqi, Fuad A., Chatziioannou, Aristotelis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640698/
https://www.ncbi.nlm.nih.gov/pubmed/33143653
http://dx.doi.org/10.1186/s12864-020-07173-x
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author Binenbaum, Ilona
Atamni, Hanifa Abu-Toamih
Fotakis, Georgios
Kontogianni, Georgia
Koutsandreas, Theodoros
Pilalis, Eleftherios
Mott, Richard
Himmelbauer, Heinz
Iraqi, Fuad A.
Chatziioannou, Aristotelis A.
author_facet Binenbaum, Ilona
Atamni, Hanifa Abu-Toamih
Fotakis, Georgios
Kontogianni, Georgia
Koutsandreas, Theodoros
Pilalis, Eleftherios
Mott, Richard
Himmelbauer, Heinz
Iraqi, Fuad A.
Chatziioannou, Aristotelis A.
author_sort Binenbaum, Ilona
collection PubMed
description BACKGROUND: The Collaborative Cross (CC) mouse population is a valuable resource to study the genetic basis of complex traits, such as obesity. Although the development of obesity is influenced by environmental factors, underlying genetic mechanisms play a crucial role in the response to these factors. The interplay between the genetic background and the gene expression pattern can provide further insight into this response, but we lack robust and easily reproducible workflows to integrate genomic and transcriptomic information in the CC mouse population. RESULTS: We established an automated and reproducible integrative workflow to analyse complex traits in the CC mouse genetic reference panel at the genomic and transcriptomic levels. We implemented the analytical workflow to assess the underlying genetic mechanisms of host susceptibility to diet induced obesity and integrated these results with diet induced changes in the hepatic gene expression of susceptible and resistant mice. Hepatic gene expression differs significantly between obese and non-obese mice, with a significant sex effect, where male and female mice exhibit different responses and coping mechanisms. CONCLUSION: Integration of the data showed that different genes but similar pathways are involved in the genetic susceptibility and disturbed in diet induced obesity. Genetic mechanisms underlying susceptibility to high-fat diet induced obesity are different in female and male mice. The clear distinction we observed in the systemic response to the high-fat diet challenge and to obesity between male and female mice points to the need for further research into distinct sex-related mechanisms in metabolic disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-020-07173-x.
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spelling pubmed-76406982020-11-05 Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity Binenbaum, Ilona Atamni, Hanifa Abu-Toamih Fotakis, Georgios Kontogianni, Georgia Koutsandreas, Theodoros Pilalis, Eleftherios Mott, Richard Himmelbauer, Heinz Iraqi, Fuad A. Chatziioannou, Aristotelis A. BMC Genomics Research Article BACKGROUND: The Collaborative Cross (CC) mouse population is a valuable resource to study the genetic basis of complex traits, such as obesity. Although the development of obesity is influenced by environmental factors, underlying genetic mechanisms play a crucial role in the response to these factors. The interplay between the genetic background and the gene expression pattern can provide further insight into this response, but we lack robust and easily reproducible workflows to integrate genomic and transcriptomic information in the CC mouse population. RESULTS: We established an automated and reproducible integrative workflow to analyse complex traits in the CC mouse genetic reference panel at the genomic and transcriptomic levels. We implemented the analytical workflow to assess the underlying genetic mechanisms of host susceptibility to diet induced obesity and integrated these results with diet induced changes in the hepatic gene expression of susceptible and resistant mice. Hepatic gene expression differs significantly between obese and non-obese mice, with a significant sex effect, where male and female mice exhibit different responses and coping mechanisms. CONCLUSION: Integration of the data showed that different genes but similar pathways are involved in the genetic susceptibility and disturbed in diet induced obesity. Genetic mechanisms underlying susceptibility to high-fat diet induced obesity are different in female and male mice. The clear distinction we observed in the systemic response to the high-fat diet challenge and to obesity between male and female mice points to the need for further research into distinct sex-related mechanisms in metabolic disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-020-07173-x. BioMed Central 2020-11-03 /pmc/articles/PMC7640698/ /pubmed/33143653 http://dx.doi.org/10.1186/s12864-020-07173-x Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Binenbaum, Ilona
Atamni, Hanifa Abu-Toamih
Fotakis, Georgios
Kontogianni, Georgia
Koutsandreas, Theodoros
Pilalis, Eleftherios
Mott, Richard
Himmelbauer, Heinz
Iraqi, Fuad A.
Chatziioannou, Aristotelis A.
Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity
title Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity
title_full Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity
title_fullStr Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity
title_full_unstemmed Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity
title_short Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity
title_sort container-aided integrative qtl and rna-seq analysis of collaborative cross mice supports distinct sex-oriented molecular modes of response in obesity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640698/
https://www.ncbi.nlm.nih.gov/pubmed/33143653
http://dx.doi.org/10.1186/s12864-020-07173-x
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