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

机译:代谢和组蛋白乙酰化的基因组规模网络模型揭示了组蛋白脱乙酰酶抑制剂的代谢依赖性

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摘要

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 materialThe online version of this article (10.1186/s13059-019-1661-z) contains supplementary material, which is available to authorized users.
机译:组蛋白乙酰化在基因调节中起核心作用,并且对代谢中间体的水平敏感。然而,预测病理状态下代谢变化对乙酰化的影响是一项重大挑战。在这里,我们提出了一个基因组规模的网络模型,该模型可预测营养环境和遗传改变对组蛋白乙酰化的影响。它根据其代谢状态识别对组蛋白脱乙酰基酶抑制剂敏感的细胞类型,并验证改变药物敏感性的代谢物。我们的模型提供了一个机制框架,用于预测代谢扰动如何导致表观遗传变化以及对脱乙酰基酶抑制剂的敏感性电子补充材料本文的在线版本(10.1186 / s13059-019-1661-z)包含补充材料,可供授权用户使用。

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