NDLI: Novel mathematical models for cell-mediated cytotoxicity assays without applying enzyme kinetics but with combinations and probability: bystanders in bulk effector cells influence results of cell-mediated cytotoxicity assays.

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Novel mathematical models for cell-mediated cytotoxicity assays without applying enzyme kinetics but with combinations and probability: bystanders in bulk effector cells influence results of cell-mediated cytotoxicity assays.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Takayanagi, Toshiaki
Description	Country affiliation: Japan Author Affiliation: Takayanagi T ( Sapporo Ryokuai Hospital, 1-1, Kitano, Kiyota-Ku, Sapporo, Hokkaido 004-0861, Japan. takayanagi@ryokuai.com)
Abstract	Cell-mediated cytotoxicity assays are widely implemented to evaluate cell-mediated cytotoxic activity, and some assays are analyzed using the analogy of enzyme kinetics. In the analogy, the effector cell is regarded as the enzyme, the target cell as the substrate, the effector cell-target cell conjugate as the enzyme-substrate complex and the dead target cell as the product. However, the assumptions analogous to those of enzyme kinetics are not always true in cell-mediated cytotoxicity assays, and the parameter analogous to the Michaelis-Menten constant is not constant but is dependent on the number of effector cells. Therefore I present novel mathematical models for cell-mediated cytotoxicity assays without applying enzyme kinetics. I instead use combinations and probability, because analysis of cell-mediated cytotoxicity assays by applying enzyme kinetics seems controversial. With my original models, I demonstrate simulations of the data in previously published papers. The results are exhibited in the same forms as the corresponding data. Comparing the simulation results with the published data, the results seem to agree well with the data. From simulations of cytotoxic assays with bulk effector cells, it appears that bystanders in bulk effector cells increase both the cytotoxic activity and the motility of effector cells.
File Format	HTM / HTML
ISSN	03032647
Issue Number	1
Journal	Biosystems
Volume Number	105
e-ISSN	18728324
Language	English
Publisher	Elsevier
Publisher Date	2011-07-01
Publisher Place	Ireland
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Computational Biology Cytotoxicity Tests, Immunologic Enzymes Pharmacokinetics Models, Immunological Bystander Effect Computer Simulation Probability Journal Article
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Medicine Biochemistry, Genetics and Molecular Biology Modeling and Simulation

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