Model of Cell Activation through TLR4 and TNFR2 Receptors


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Аннотация

A mathematical model is suggested for description of translation of the cell activation signals generated by interactions of TLR4 and TNFR2 receptors with ligands. The theoretical background to the construction of the model is offered and the main simulation results are presented. The model takes into account the possibility of self-activation of the cell induced by polymerization of receptors, intersection of signal cascades that may result in depletion of substrates of translating proteins and binding sites on the DNA. The probability of the activation event has a local maximum at the last layer of the reaction graph. The process of cell activation is described by use nonlinear system of singularly perturbed differential equations. All requirements on solution existence have been satisfied and approximate solution has been derived. The boundary conditions type is of importance. Suitably, the probability density of signal transmission from TNFR2 to the cell’s DNA has been specified on the membrane, and flow through the membrane has been set for the probability density of signal transmission from TLR4 to the cell’s DNA. These obstacles necessitate the use of a special algorithm for analyzing nonlinear differential systems with a small parameter for different boundary conditions. The probability densities are qualitatively different themselves, have distinctive structure, emphasizing different ways of cell activation. The density functions of the probability of cell activation make it possible to determine approximately the distribution of the effectiveness of activation inhibitors over the reaction graph layers.

Авторлар туралы

V. Beloshapko

Department of Physics

Хат алмасуға жауапты Автор.
Email: postvab@yandex.ru
Ресей, Moscow, 119991

E. Generalov

Department of Physics

Хат алмасуға жауапты Автор.
Email: generals1179@gmail.com
Ресей, Moscow, 119991

L. Yakovenko

Department of Physics

Хат алмасуға жауапты Автор.
Email: yakovenko.lv@physics.msu.ru
Ресей, Moscow, 119991

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