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Analysis of growth kinetics by division tracking
Author(s) -
Nordon Robert E,
Nakamura Masanori,
Ramirez Carole,
Odell Ross
Publication year - 1999
Publication title -
immunology and cell biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.999
H-Index - 104
eISSN - 1440-1711
pISSN - 0818-9641
DOI - 10.1046/j.1440-1711.1999.00869.x
Subject(s) - cell division , residence time (fluid dynamics) , division (mathematics) , compartment (ship) , biological system , cell cycle , cell growth , kinetics , tracking (education) , cell , microbiology and biotechnology , stochastic modelling , transit time , biology , biophysics , chemistry , computer science , mathematics , biochemistry , statistics , engineering , physics , psychology , pedagogy , oceanography , geotechnical engineering , arithmetic , quantum mechanics , transport engineering , geology
Cell division tracking using fluorescent dyes, such as carboxyfluorescein diacetate succinimidyl ester, provides a unique opportunity for analysis of cell growth kinetics. The present review article presents new methods for enhancing resolution of division tracking data as well as derivation of quantities that characterize growth from time‐series data. These include the average time between successive divisions, the proportion of cells that survive and the proliferation per division. The physical significance of these measured quantities is interpreted by formulation of a two‐compartment model of cell cycle transit characterized by stochastic and deterministic cell residence times, respectively. The model confirmed that survival is directly related to the proportion of cells that enter the next cell generation. The proportion of time that cells reside in the stochastic compartment is directly related to the proliferation per generation. This form of analysis provides a starting point for more sophisticated physical and biochemical models of cell cycle regulation.