Literature DB >> 22286016

The core control system of intracellular iron homeostasis: a mathematical model.

J Chifman1, A Kniss, P Neupane, I Williams, B Leung, Z Deng, P Mendes, V Hower, F M Torti, S A Akman, S V Torti, R Laubenbacher.   

Abstract

Iron is a metal essential for cellular metabolism. However, excess iron available for reactions contributes to the formation of dangerous reactive oxygen species, such as the hydroxyl radical, via the Fenton reaction. Therefore, intracellular iron levels are tightly constrained by a control system of proteins. This paper contains a mathematical model, in the form of a system of five ordinary differential equations, of the core of this control system, including the labile iron pool as well as proteins that regulate uptake, storage, and export and are connected through negative feedback loops. The model is validated using data from an overexpression experiment with cultured human breast epithelial cells. The parameters in the mathematical model are not known for this particular cell culture system, so the analysis of the model was done for a generic choice of parameters. Through a mixture of analytical arguments and extensive simulations it is shown that for any choice of parameters the model reaches a unique stable steady state, thereby ruling out oscillatory behavior. It is shown furthermore that the model parameters are identifiable through suitable experiments. Copyright Â
© 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22286016      PMCID: PMC3307864          DOI: 10.1016/j.jtbi.2012.01.024

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  35 in total

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4.  Ferroportin-mediated mobilization of ferritin iron precedes ferritin degradation by the proteasome.

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  12 in total

Review 1.  A systems biology approach to iron metabolism.

Authors:  Julia Chifman; Reinhard Laubenbacher; Suzy V Torti
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Review 2.  Iron and cancer: more ore to be mined.

Authors:  Suzy V Torti; Frank M Torti
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Review 3.  Cellular iron metabolism in prognosis and therapy of breast cancer.

Authors:  Suzy V Torti; Frank M Torti
Journal:  Crit Rev Oncog       Date:  2013

4.  An analysis of a 'community-driven' reconstruction of the human metabolic network.

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Journal:  Front Med (Lausanne)       Date:  2016-11-29

6.  Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective.

Authors:  Julia Chifman; Seda Arat; Zhiyong Deng; Erica Lemler; James C Pino; Leonard A Harris; Michael A Kochen; Carlos F Lopez; Steven A Akman; Frank M Torti; Suzy V Torti; Reinhard Laubenbacher
Journal:  PLoS Comput Biol       Date:  2017-02-06       Impact factor: 4.475

7.  Application of circuit simulation method for differential modeling of TIM-2 iron uptake and metabolism in mouse kidney cells.

Authors:  Zhijian Xie; Scott H Harrison; Suzy V Torti; Frank M Torti; Jian Han
Journal:  Front Physiol       Date:  2013-06-07       Impact factor: 4.566

Review 8.  Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery.

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9.  A computational model of liver iron metabolism.

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Journal:  PLoS Comput Biol       Date:  2013-11-07       Impact factor: 4.475

10.  Analysis of a dynamic model of guard cell signaling reveals the stability of signal propagation.

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Journal:  BMC Syst Biol       Date:  2016-08-19
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