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Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors
Histone acetylation plays a central role in gene regulation and is sensitive to the levels of metabolic intermediates. However, predicting the impact of metabolic alterations on acetylation in pathological conditions is a significant challenge. Here, we present a genome-scale network model that pred...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397465/ https://www.ncbi.nlm.nih.gov/pubmed/30823893 http://dx.doi.org/10.1186/s13059-019-1661-z |
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author | Shen, Fangzhou Boccuto, Luigi Pauly, Rini Srikanth, Sujata Chandrasekaran, Sriram |
author_facet | Shen, Fangzhou Boccuto, Luigi Pauly, Rini Srikanth, Sujata Chandrasekaran, Sriram |
author_sort | Shen, Fangzhou |
collection | PubMed |
description | Histone acetylation plays a central role in gene regulation and is sensitive to the levels of metabolic intermediates. However, predicting the impact of metabolic alterations on acetylation in pathological conditions is a significant challenge. Here, we present a genome-scale network model that predicts the impact of nutritional environment and genetic alterations on histone acetylation. It identifies cell types that are sensitive to histone deacetylase inhibitors based on their metabolic state, and we validate metabolites that alter drug sensitivity. Our model provides a mechanistic framework for predicting how metabolic perturbations contribute to epigenetic changes and sensitivity to deacetylase inhibitors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1661-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6397465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63974652019-03-13 Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors Shen, Fangzhou Boccuto, Luigi Pauly, Rini Srikanth, Sujata Chandrasekaran, Sriram Genome Biol Method Histone acetylation plays a central role in gene regulation and is sensitive to the levels of metabolic intermediates. However, predicting the impact of metabolic alterations on acetylation in pathological conditions is a significant challenge. Here, we present a genome-scale network model that predicts the impact of nutritional environment and genetic alterations on histone acetylation. It identifies cell types that are sensitive to histone deacetylase inhibitors based on their metabolic state, and we validate metabolites that alter drug sensitivity. Our model provides a mechanistic framework for predicting how metabolic perturbations contribute to epigenetic changes and sensitivity to deacetylase inhibitors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1661-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-01 /pmc/articles/PMC6397465/ /pubmed/30823893 http://dx.doi.org/10.1186/s13059-019-1661-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Method Shen, Fangzhou Boccuto, Luigi Pauly, Rini Srikanth, Sujata Chandrasekaran, Sriram Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors |
title | Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors |
title_full | Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors |
title_fullStr | Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors |
title_full_unstemmed | Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors |
title_short | Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors |
title_sort | genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397465/ https://www.ncbi.nlm.nih.gov/pubmed/30823893 http://dx.doi.org/10.1186/s13059-019-1661-z |
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