ArticleBMC systems biology2011
A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology.
Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.
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Who cites it
102 citing papers in PubMed.
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- Sustainable Food Waste Management in Anaerobic Digesters: Prediction of the Organic Load Impact by Metagenome-Scale Metabolic Modeling.Environmental science & technology · 2025Article
- Coupling flux balance analysis with reactive transport modeling through machine learning for rapid and stable simulation of microbial metabolic switching.Scientific reports · 2025Article
- Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025Review
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- Genome-scale metabolic models applied for human health and biopharmaceutical engineering.Quantitative biology (Beijing, China) · 2023Review
- The first multi-tissue genome-scale metabolic model of a woody plant highlights suberin biosynthesis pathways in Quercus suber.PLoS computational biology · 2023Article
- Integrating Omics Data in Genome-Scale Metabolic Modeling: A Methodological Perspective for Precision Medicine.Metabolites · 2023Review
- A holistic view of muscle metabolic reprogramming through personalized metabolic modeling in newly diagnosed diabetic patients.PloS one · 2023Article
- Guidelines for extracting biologically relevant context-specific metabolic models using gene expression data.Metabolic engineering · 2023Article
- Review of Current Human Genome-Scale Metabolic Models for Brain Cancer and Neurodegenerative Diseases.Cells · 2022Review
- Robust identification of temporal biomarkers in longitudinal omics studies.Bioinformatics (Oxford, England) · 2022Article
- Compartmentalization of metabolism between cell types in multicellular organisms: a computational perspective.Current opinion in systems biology · 2022Article
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- A dynamic multi-tissue model to study human metabolism.NPJ systems biology and applications · 2021Article
- The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes.Nucleic acids research · 2021Article
- Metabolic modelling approaches for describing and engineering microbial communities.Computational and structural biotechnology journal · 2021Review
- Fibroblast-specific genome-scale modelling predicts an imbalance in amino acid metabolism in Refsum disease.The FEBS journal · 2020Article
42 more citing papers are in PubMed but not listed here.
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6 authors.
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Abstract
backgroundGenome-scale metabolic reconstructions provide a biologically meaningful mechanistic basis for the genotype-phenotype relationship. The global human metabolic network, termed Recon 1, has recently been reconstructed allowing the systems analysis of human metabolic physiology and pathology. Utilizing high-throughput data, Recon 1 has recently been tailored to different cells and tissues, including the liver, kidney, brain, and alveolar macrophage. These models have shown utility in the study of systems medicine. However, no integrated analysis between human tissues has been done.
resultsTo describe tissue-specific functions, Recon 1 was tailored to describe metabolism in three human cells: adipocytes, hepatocytes, and myocytes. These cell-specific networks were manually curated and validated based on known cellular metabolic functions. To study intercellular interactions, a novel multi-tissue type modeling approach was developed to integrate the metabolic functions for the three cell types, and subsequently used to simulate known integrated metabolic cycles. In addition, the multi-tissue model was used to study diabetes: a pathology with systemic properties. High-throughput data was integrated with the network to determine differential metabolic activity between obese and type II obese gastric bypass patients in a whole-body context.
conclusionThe multi-tissue type modeling approach presented provides a platform to study integrated metabolic states. As more cell and tissue-specific models are released, it is critical to develop a framework in which to study their interdependencies.
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