ArticleBMC systems biology2010
Dynamics and control of the central carbon metabolism in hepatoma cells.
Article in BMC systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 42 citations in OpenAlex.
- The return of metabolism: biochemistry and physiology of glycolysis.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Modeling the dynamics of hepatic metabolism: the predominance of 12-hour rhythmicity in metabolic adaptation.Cellular and molecular life sciences : CMLS · 2026Article
- Cryogenic mouse tissue homogenization as an alternative to fresh-frozen biopsy use for genomics, transcriptomics, proteomics and metabolomics.Scientific reports · 2025Article
- Acetol biosynthesis enables NADPH balance during nitrogen limitation in engineered Escherichia coli.Microbial cell factories · 2025Article
- Parental sex-dependent effects of either maternal or paternal eNOS deficiency on the offspring's phenotype without transmission of the parental eNOS deficiency to the offspring.Frontiers in physiology · 2023Article
- Monitoring and modelling the dynamics of the cellular glycolysis pathway: A review and future perspectives.Molecular metabolism · 2022Review
- CD147 a direct target of miR-146a supports energy metabolism and promotes tumor growth in ALK+ ALCL.Leukemia · 2022Article
- Integrating a dynamic central metabolism model of cancer cells with a hybrid 3D multiscale model for vascular hepatocellular carcinoma growth.Scientific reports · 2022Article
- Article
- Sex-dependent dynamics of metabolism in primary mouse hepatocytes.Archives of toxicology · 2021Article
- Gene Suppression of Transketolase-Like Protein 1 (TKTL1) Sensitizes Glioma Cells to Hypoxia and Ionizing Radiation.International journal of molecular sciences · 2018Article
- Maternal eNOS deficiency determines a fatty liver phenotype of the offspring in a sex dependent manner.Epigenetics · 2016Article
- Glycolysis is governed by growth regime and simple enzyme regulation in adherent MDCK cells.PLoS computational biology · 2014Article
- KiMoSys: a web-based repository of experimental data for KInetic MOdels of biological SYStems.BMC systems biology · 2014Article
- Linking metabolism and epigenetic regulation in development of hepatocellular carcinoma.Laboratory investigation; a journal of technical methods and pathology · 2013Review
- Mass isotopomer analysis of metabolically labeled nucleotide sugars and N- and O-glycans for tracing nucleotide sugar metabolisms.Molecular & cellular proteomics : MCP · 2013Article
- Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME.Archives of toxicology · 2013Review
- Metabolomic changes in gastrointestinal tissues after whole body radiation in a murine model.Molecular bioSystems · 2013Article
- Structural control of metabolic flux.PLoS computational biology · 2013Article
- A whole-body model for glycogen regulation reveals a critical role for substrate cycling in maintaining blood glucose homeostasis.PLoS computational biology · 2011Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe liver plays a major role in metabolism and performs a number of vital functions in the body. Therefore, the determination of hepatic metabolite dynamics and the analysis of the control of the respective biochemical pathways are of great pharmacological and medical importance. Extra- and intracellular time-series data from stimulus-response experiments are gaining in importance in the identification of in vivo metabolite dynamics, while dynamic network models are excellent tools for analyzing complex metabolic control patterns. This is the first study that has been undertaken on the data-driven identification of a dynamic liver central carbon metabolism model and its application in the analysis of the distribution of metabolic control in hepatoma cells.
resultsDynamic metabolite data were collected from HepG2 cells after they had been deprived of extracellular glucose. The concentration of 25 extra- and intracellular intermediates was quantified using HPLC, LC-MS-MS, and GC-MS. The in silico metabolite dynamics were in accordance with the experimental data. The central carbon metabolism of hepatomas was further analyzed with a particular focus on the control of metabolite concentrations and metabolic fluxes. It was observed that the enzyme glucose-6-phosphate dehydrogenase exerted substantial negative control over the glycolytic flux, whereas oxidative phosphorylation had a significant positive control. The control over the rate of NADPH consumption was found to be shared between the NADPH-demand itself (0.65) and the NADPH supply (0.38).
conclusionsBased on time-series data, a dynamic central carbon metabolism model was developed for the investigation of new and complex metabolic control patterns in hepatoma cells. The control patterns found support the hypotheses that the glucose-6-phosphate dehydrogenase and the Warburg effect are promising targets for tumor treatment. The systems-oriented identification of metabolite dynamics is a first step towards the genome-based assessment of potential risks posed by nutrients and drugs.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.