Applications of stochastic semigroups to cell cycle models

Katarzyna Pichór; Ryszard Rudnicki

doi:10.3934/dcdsb.2019099

Article Contents

2019, Volume 24, Issue 5: 2365-2381. Doi: 10.3934/dcdsb.2019099 open access

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Applications of stochastic semigroups to cell cycle models

Katarzyna Pichór^1, and
Ryszard Rudnicki^2, ,

1.
Institute of Mathematics, University of Silesia, Bankowa 14, 40-007 Katowice, Poland
2.
Institute of Mathematics, Polish Academy of Sciences, Bankowa 14, 40-007 Katowice, Poland

^* Corresponding author: Ryszard Rudnicki
^* Corresponding author: Ryszard Rudnicki

Received: December 2017

Revised: January 2019

Early access: March 2019

Published: March 2019

This research was partially supported by the National Science Centre (Poland) Grant No. 2017/27/B/ST1/00100

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Abstract

We consider a generational and continuous-time two-phase model of the cell cycle. The first model is given by a stochastic operator, and the second by a piecewise deterministic Markov process. In the second case we also introduce a stochastic semigroup which describes the evolution of densities of the process. We study long-time behaviour of these models. In particular we prove theorems on asymptotic stability and sweeping. We also show the relations between both models.

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Mathematics Subject Classification: Primary: 47D06; Secondary: 60J75 92C37.

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Figure 1. Evolution of maturity of a mother cell: (1) – resting phase; (2) – proliferating phase and a daughter cell: (3) – resting phase; (4) – proliferating phase

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Figure 2. The set $ X $

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[1]	M. Adimy, F. Crauste, M. L. Hbid and R. Qesmi, Stability and Hopf bifurcation for a cell population model with state-dependent delay, SIAM J. Appl. Math., 70 (2010), 1611-1633. doi: 10.1137/080742713.
[2]	M. Adimy, F. Crauste and C. Marquet, Asymptotic behavior and stability switch for a mature-immature model of cell differentiation, Nonlinear Analysis: Real World, 11 (2010), 2913-2929. doi: 10.1016/j.nonrwa.2009.11.001.
[3]	B. Alberts, A. Johnson, J. Lewis, D. Morgan, M. Raff, K. Roberts and P. Walter, Molecular Biology of the Cell, Taylor & Francis Group, Abingdon UK, 2014.
[4]	J. Banasiak, K. Pichór and R. Rudnicki, Asynchronous exponential growth of a general structured population model, Acta Appl. Math., 119 (2012), 149-166. doi: 10.1007/s10440-011-9666-y.
[5]	F. J. Burns and I. F. Tannock, On the existence of a $G_0$ phase in the cell cycle, Cell Tissue Kinet., 3 (1970), 321-334. doi: 10.1111/j.1365-2184.1970.tb00340.x.
[6]	R. Crabb, M. C. Mackey and A. Rey, Propagating fronts, chaos and multistability in a cell replication model, Chaos, 6 (1996), 477-492. doi: 10.1063/1.166195.
[7]	F. Crauste, I. Demin, O. Gandrillon and V. Volpert, Mathematical study of feedback control roles and relevance in stress erythropoiesis, J.Theor. Biology, 263 (2010), 303-316. doi: 10.1016/j.jtbi.2009.12.026.
[8]	O. Diekmann, H. J. A. M. Heijmans and H. R. Thieme, On the stability of the cell size distribution, J. Math. Biology, 19 (1984), 227-248. doi: 10.1007/BF00277748.
[9]	S. Fischer, P. Kurbatova and N. Bessonov, Modeling erythroblastic islands: Using a hybrid model to assess the function of central macrophage, J. Theor. Biology, 298 (2012), 92-106. doi: 10.1016/j.jtbi.2012.01.002.
[10]	H. Gacki and A. Lasota, Markov operators defined by Volterra type integrals with advanced argument, Ann. Polon. Math., 51 (1990), 155-166. doi: 10.4064/ap-51-1-155-166.
[11]	M. Gyllenberg and H. J. A. M. Heijmans, An abstract delay-differential equation modelling size dependent cell growth and division, SIAM J. Math. Anal., 18 (1987), 74-88. doi: 10.1137/0518006.
[12]	P. C. L. John (ed.), The Cell Cycle, Cambridge University Press, London, 1981.
[13]	A. Lasota and M. C. Mackey, Globally asymptotic properties of proliferating cell populations, J. Math. Biol., 19 (1984), 43-62. doi: 10.1007/BF00275930.
[14]	A. Lasota and M. C. Mackey, Chaos, Fractals and Noise. Stochastic Aspects of Dynamics, Ⅱ edition, Springer Applied Mathematical Sciences, 97, New York, 1994. doi: 10.1007/978-1-4612-4286-4.
[15]	A. Lasota, M. C. Mackey and J. Tyrcha, The statistical dynamics of recurrent biological events, J. Math. Biol., 30 (1992), 775-800. doi: 10.1007/BF00176455.
[16]	J. L. Lebowitz and S. L. Rubinow, A theory for the age and generation time distribution of microbial population, J. Math. Biol., 1 (1974), 17-36. doi: 10.1007/BF02339486.
[17]	K. Łoskot and R. Rudnicki, Sweeping of some integral operators, Bull. Pol. Ac.: Math., 37 (1989), 229-235.
[18]	T. Luzyanina, D. Roose and G. Bocharov, Distributed parameter identification for a label-structured cell population dynamics model using CFSE histogram time-series data, J. Math. Biology, 59 (2009), 581-603. doi: 10.1007/s00285-008-0244-5.
[19]	M.C. Mackey and R. Rudnicki, Global stability in a delayed partial differential equation describing cellular replication, J. Math. Biol., 33 (1994), 89-109. doi: 10.1007/BF00160175.
[20]	M. C. Mackey and M. Tyran-Kamińska, Dynamics and density evolution in piecewise deterministic growth processes, Ann. Polon. Math., 94 (2008), 111-129. doi: 10.4064/ap94-2-2.
[21]	D. O. Morgan, The Cell Cycle: Principles of Control, New Science Press, London, 2007.
[22]	K. Pichór, Asymptotic behaviour of a structured population model, Mathematical and Computer Modelling, 57 (2013), 1240-1249. doi: 10.1016/j.mcm.2012.10.027.
[23]	K. Pichór and R. Rudnicki, Continuous Markov semigroups and stability of transport equations, J. Math. Anal. Appl., 249 (2000), 668-685. doi: 10.1006/jmaa.2000.6968.
[24]	K. Pichór and R. Rudnicki, Asymptotic decomposition of substochastic operators and semigroups, J. Math. Anal. Appl., 436 (2016), 305-321. doi: 10.1016/j.jmaa.2015.12.009.
[25]	K. Pichór and R. Rudnicki, Asymptotic decomposition of substochastic semigroups and applications, Stochastics and Dynamics, 18 (2018), 1850001, 18 pp. doi: 10.1142/S0219493718500016.
[26]	K. Pichór and R. Rudnicki, Stability of stochastic semigroups and applications to Stein's neuronal model, Discrete Contin. Dyn. Syst. B, 23 (2018), 377-385. doi: 10.3934/dcdsb.2018026.
[27]	L. Pujo-Menjouet, Blood cell dynamics: Half of a century of modelling, Math. Model. Nat. Phenom., 11 (2016), 92-115. doi: 10.1051/mmnp/201611106.
[28]	L. Pujo-Menjouet and R. Rudnicki, Global stability of cellular populations with unequal division, Canad. Appl. Math. Quart., 8 (2000), 185-202. doi: 10.1216/camq/1032375042.
[29]	M. Rotenberg, Transport theory for growing cell populations, J. Theor. Biol., 103 (1983), 181-199. doi: 10.1016/0022-5193(83)90024-3.
[30]	S. I. Rubinow, A maturity time representation for cell populations, Biophy. J., 8 (1968), 1055-1073. doi: 10.1016/S0006-3495(68)86539-7.
[31]	R. Rudnicki, Stability in L¹ of some integral operators, Integr Equat. Oper. Th., 24 (1996), 320-327. doi: 10.1007/BF01204604.
[32]	R. Rudnicki, Stochastic operators and semigroups and their applications in physics and biology, in J. Banasiak, M. Mokhtar-Kharroubi (eds.), Evolutionary Equations with Applications in Natural Sciences, Lecture Notes in Mathematics Springer, Heidelberg, 2126 (2015), 255–318. doi: 10.1007/978-3-319-11322-7_6.
[33]	R. Rudnicki and K. Pichór, Markov semigroups and stability of the cell maturation distribution, J. Biol. Systems, 8 (2000), 69-94.
[34]	R. Rudnicki and M. Tyran-Kamińska, Piecewise Deterministic Processes in Biological Models, SpringerBriefs in Applied Sciences and Technology, Mathematical Methods, Springer, Cham, Switzerland, 2017. doi: 10.1007/978-3-319-61295-9.
[35]	J. A. Smith and L. Martin, Do cells cycle?, Proc. Natl. Acad. Sci. U.S.A., 70 (1973), 1263-1267.
[36]	J. J. Tyson and K. B. Hannsgen, Cell growth and division: A deterministic/probabilistic model of the cell cycle, J. Math. Biol., 23 (1986), 231-246. doi: 10.1007/BF00276959.
[37]	J. Tyrcha, Asymptotic stability in a generalized probabilistic/deterministic model of the cell cycle, J. Math. Biology, 26 (1988), 465-475. doi: 10.1007/BF00276374.
[38]	H. von Foerster, Some remarks on changing populations, in The Kinetics of Cellular Proliferation, 382–407, Ed. F. Stohlman, Grune and Stratton, New York, 1959.