Mathematical Modeling the Kinetics of Cell Distribution in the Process of Ligand–Receptor Binding

A statistical approach is presented to model the kinetics of cell distribution in the process of ligand–receptor binding on cell surfaces. The approach takes into account the variation of the amount of receptors on cells assuming the homogeneity of monovalent binding sites and ligand molecules. The...

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Veröffentlicht in:Journal of theoretical biology 2000-10, Vol.206 (3), p.407-417
Hauptverfasser: SUROVTSEV, IVAN V, RAZUMOV, IVAN A, NEKRASOV, VYACHESLAV M, SHVALOV, ALEXANDER N, SOINI, JUHANI T, MALTSEV, VALERI P, PETROV, ALEXANDER K, LOKTEV, VALERI B, CHERNYSHEV, ANDREI V
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container_end_page 417
container_issue 3
container_start_page 407
container_title Journal of theoretical biology
container_volume 206
creator SUROVTSEV, IVAN V
RAZUMOV, IVAN A
NEKRASOV, VYACHESLAV M
SHVALOV, ALEXANDER N
SOINI, JUHANI T
MALTSEV, VALERI P
PETROV, ALEXANDER K
LOKTEV, VALERI B
CHERNYSHEV, ANDREI V
description A statistical approach is presented to model the kinetics of cell distribution in the process of ligand–receptor binding on cell surfaces. The approach takes into account the variation of the amount of receptors on cells assuming the homogeneity of monovalent binding sites and ligand molecules. The analytical expressions for the kinetics of cell distribution have been derived in the reaction-limited approximation. In order to demonstrate the applicability of the mathematical model, the kinetics of binding the rabbit, anti-mouse IgG with Ig-receptors of the murine hybridoma cells has been measured. Anti-mouse IgG was labeled with fluorescein isothiocyanate (FITC). The kinetics of cell distribution on ligand–receptor complexes was observed during the reaction process by real-time measuring of the fluorescence and light-scattering traces of individual cells with the scanning flow cytometer. The experimental data were fitted by the mathematical model in order to obtain the binding rate constant and the initial cell distribution on the amount of receptors.
doi_str_mv 10.1006/jtbi.2000.2136
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source MEDLINE; Elsevier ScienceDirect Journals
subjects Animals
Computer Simulation
Flow Cytometry
Hybridomas - cytology
Hybridomas - metabolism
Immunoglobulin G - metabolism
Mice
Models, Biological
Models, Statistical
Protein Binding
Rabbits
Receptors, IgG - metabolism
title Mathematical Modeling the Kinetics of Cell Distribution in the Process of Ligand–Receptor Binding
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