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Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors. | LitMetric

AI Article Synopsis

  • * The researchers developed a comprehensive model to analyze how nutrition and genetic differences affect histone acetylation across the genome.
  • * Their findings pinpoint specific cell types that respond to certain drugs based on their metabolism, enhancing our understanding of how metabolic changes lead to epigenetic modifications.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397465PMC
http://dx.doi.org/10.1186/s13059-019-1661-zDOI Listing

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