A Mathematical Model for Enzyme Clustering in Glucose Metabolism

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dc.contributor.authorJeon, Miji
dc.contributor.authorHye-Won, Kang
dc.contributor.authorAn, Songon
dc.date.accessioned2018-02-27T17:55:07Z
dc.date.available2018-02-27T17:55:07Z
dc.date.issued2017
dc.description.abstractWe have recently demonstrated that the rate-limiting enzymes in human glucose metabolism organize into cytoplasmic clusters to form a multienzyme complex, the glucosome, in at least three different sizes. Quantitative high-content imaging data support a hypothesis that the glucosome clusters regulate the direction of glucose flux between energy metabolism and building block biosynthesis in a cluster size-dependent manner. However, direct measurement of their functional contributions to cellular metabolism at subcellular levels has remained challenging. In this work, we develop a mathematical model using a system of ordinary differential equations, in which the association of the rate-limiting enzymes into multienzyme complexes is included as an essential element. We then demonstrate that our mathematical model provides a quantitative principle to simulate glucose flux at both subcellular and population levels in human cancer cells. Lastly, we use the model to simulate 2-deoxyglucose-mediated alteration of glucose flux in a population level based on subcellular highcontent imaging data. Collectively, we introduce a new mathematical model for human glucose metabolism, which promotes our understanding of functional roles of differently sized multienzyme complexes in both single-cell and population levels.en_US
dc.description.urihttps://www.nature.com/articles/s41598-018-20348-7en_US
dc.format.extent14 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/M29Z90D6S
dc.identifier.citationJeon, Miji, Kang, Hye-Won, An, Songon. A Mathematical Model for Enzyme Clustering in Glucose Metabolism, Scientific Reports, vol. 8, no. 1. https://doi.org/10.1038/s41598-018-20348-7en_US
dc.identifier.uridoi:10.1038/s41598-018-20348-7
dc.identifier.urihttp://hdl.handle.net/11603/7827
dc.language.isoen_USen_US
dc.publisherNatureen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Chemistry & Biochemistry Department
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.subjecthuman glucose metabolismen_US
dc.subjectenergy metabolismen_US
dc.subjectcellular metabolismen_US
dc.subjectmathematical modelen_US
dc.subjecthuman cancer cellsen_US
dc.subjectrate-limiting enzymesen_US
dc.titleA Mathematical Model for Enzyme Clustering in Glucose Metabolismen_US
dc.typeTexten_US

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