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A Flexible and Qualitatively Stable Model for Cell Cycle Dynamics Including DNA Damage Effects
Author(s) -
Clark Jeffries,
Charles R. Johnson,
Tong Zhou,
Dennis A. Simpson,
William K. Kaufmann
Publication year - 2012
Publication title -
gene regulation and systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.534
H-Index - 18
ISSN - 1177-6250
DOI - 10.4137/grsb.s8476
Subject(s) - stability (learning theory) , eigenvalues and eigenvectors , computer science , biological system , conceptual model , meaning (existential) , fibroblast , cell cycle , limit cycle , matrix (chemical analysis) , algorithm , data mining , theoretical computer science , cell , biology , physics , machine learning , materials science , cell culture , genetics , nonlinear system , psychology , quantum mechanics , database , psychotherapist , composite material
This paper includes a conceptual framework for cell cycle modeling into which the experimenter can map observed data and evaluate mechanisms of cell cycle control. The basic model exhibits qualitative stability, meaning that regardless of magnitudes of system parameters its instances are guaranteed to be stable in the sense that all feasible trajectories converge to a certain trajectory. Qualitative stability can also be described by the signs of real parts of eigenvalues of the system matrix. On the biological side, the resulting model can be tuned to approximate experimental data pertaining to human fibroblast cell lines treated with ionizing radiation, with or without disabled DNA damage checkpoints. Together these properties validate a fundamental, first order systems view of cell dynamics. Classification Codes: 15A68.

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