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MATRIX ALGEBRAIC SIMULATION OF MITOTIC CELL SELECTION EXPERIMENTS
Author(s) -
Tomasovic S. P.,
Roti J. L. Roti,
Dethlefsen L. A.
Publication year - 1980
Publication title -
cell proliferation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.647
H-Index - 74
eISSN - 1365-2184
pISSN - 0960-7722
DOI - 10.1111/j.1365-2184.1980.tb00455.x
Subject(s) - mitosis , selection (genetic algorithm) , matrix (chemical analysis) , population , cell , biological system , mitotic index , multiplication (music) , matrix multiplication , algebraic number , biology , computer science , microbiology and biotechnology , chemistry , mathematics , genetics , physics , artificial intelligence , combinatorics , chromatography , quantum mechanics , quantum , mathematical analysis , demography , sociology
Mitotic cell selection experiments are frequently utilized in investigations on the effects of various metabolic inhibitors and/or X‐irradiation on cell‐cycle progression of mammalian cells in tissue culture. This study describes a method for matrix algebraic simulation of these experiments which involves the sequential multiplication of cell‐population matrices, growth matrices, and mitotic cell‐selection matrices. Simulations are shown for progression in control cultures and cultures perturbed either by X‐rays or 2‐mercapto‐1(β‐4‐pyridethyl) benzimidazole. Application of this model will enhance the planning of these investigations and allow more rigorous testing of alternate hypotheses concerning the mechanisms of action of perturbing agents.

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