The core control system of intracellular iron homeostasis: A mathematical model

被引:21
|
作者
Chifman, J. [1 ,2 ]
Kniss, A. [3 ]
Neupane, P. [4 ]
Williams, I. [5 ]
Leung, B. [6 ]
Deng, Z. [1 ]
Mendes, P. [7 ,8 ,12 ]
Hower, V. [9 ]
Torti, F. M. [1 ,10 ]
Akman, S. A. [1 ,10 ]
Torti, S. V. [10 ,11 ]
Laubenbacher, R. [1 ,12 ]
机构
[1] Wake Forest Univ, Bowman Gray Sch Med, Dept Canc Biol, Winston Salem, NC 27106 USA
[2] Ohio State Univ, Math Biosci Inst, Columbus, OH 43210 USA
[3] Bucknell Univ, Lewisburg, PA 17837 USA
[4] Boston Univ, Boston, MA 02215 USA
[5] Winston Salem State Univ, Winston Salem, NC USA
[6] Rice Univ, Houston, TX USA
[7] Univ Manchester, Manchester Ctr Integrat Syst Biol, Manchester M1 7DN, Lancs, England
[8] Univ Manchester, Sch Comp Sci, Manchester M1 7DN, Lancs, England
[9] Univ Calif Berkeley, Dept Math, Berkeley, CA 94720 USA
[10] Wake Forest Univ, Bowman Gray Sch Med, Ctr Comprehens Canc, Winston Salem, NC USA
[11] Wake Forest Univ, Bowman Gray Sch Med, Dept Biochem, Winston Salem, NC USA
[12] Virginia Tech, Virginia Bioinformat Inst, Blacksburg, VA 24061 USA
基金
美国国家科学基金会;
关键词
Iron metabolism; Breast epithelial cells; Differential equations; NONLINEAR ODE MODELS; GLOBAL IDENTIFIABILITY; TUMOR-GROWTH; FERROPORTIN; FERRITIN; DEGRADATION; TRANSFERRIN; MUTATION; GENES; RISK;
D O I
10.1016/j.jtbi.2012.01.024
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:91 / 99
页数:9
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