ArticleGenome biology2019
Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors.
Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Metab8D: a metabolic regulome network from multiomics and machine learning.Communications biology · 2026Article
- Protocol for single-cell optimization objective and trade-off inference.STAR protocols · 2026Article
- Modeling Microbiome Modulation of Tumor Metabolic Networks to Predict Synergistic Therapies.bioRxiv : the preprint server for biology · 2026Article
- A Metabolism-Informed Neural Network Identifies Pathways Influencing the Potency and Toxicity of Antimicrobial Combinations.npj drug discovery · 2026Article
- Evaluating transcriptomic integration for cyanobacterial constraint-based metabolic modelling.Frontiers in bioinformatics · 2026Article
- Metabolic Objectives and Trade-Offs: Inference and Applications.Metabolites · 2025Review
- Inferring metabolic objectives and trade-offs in single cells during embryogenesis.Cell systems · 2025Article
- Dynamic metabolic regulation of histone modifications during the yeast metabolic cycle.PloS one · 2025Article
- Basic Epigenetic Mechanisms.Sub-cellular biochemistry · 2025Review
- Personalized modeling of gut microbiome metabolism throughout the first year of life.Communications medicine · 2024Article
- Genome-scale modeling identifies dynamic metabolic vulnerabilities during the epithelial to mesenchymal transition.Communications biology · 2024Article
- Co-delivery Nano System of MS-275 and V-9302 Induces Pyroptosis and Enhances Anti-Tumor Immunity Against Uveal Melanoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Leveraging metabolic modeling and machine learning to uncover modulators of quiescence depth.PNAS nexus · 2024Article
- Post-translational modifications in sepsis-induced organ dysfunction: mechanisms and implications.Frontiers in immunology · 2024Review
- Activating transcription factor 3: A potential therapeutic target for inflammatory pulmonary diseases.Immunity, inflammation and disease · 2023Review
- Article
- Epigenetic targets in B- and T-cell lymphomas: latest developments.Therapeutic advances in hematology · 2023Review
- A flux-based machine learning model to simulate the impact of pathogen metabolic heterogeneity on drug interactions.PNAS nexus · 2022Article
- Article
- Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease.Genome medicine · 2022Article
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5 authors.
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No grant is acknowledged in the PubMed record.
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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