A Theoretical Model for the Cell Cycle and Drug Induced Cell Cycle Arrest of FUCCI Systems with Cell-to-Cell Variation during Mitosis

被引:9
作者
Bae, Hyeonjeong [1 ]
Go, Young-Hyun [2 ]
Kwon, Taejin [1 ]
Sung, Bong June [1 ]
Cha, Hyuk-Jin [3 ]
机构
[1] Sogang Univ, Dept Chem, 35 Baekbeom Ro, Seoul 04107, South Korea
[2] Sogang Univ, Dept Life Sci, 35 Baekbeom Ro, Seoul 04107, South Korea
[3] Seoul Natl Univ, Coll Pharm, 1 Gwanak Ro, Seoul 08826, South Korea
基金
新加坡国家研究基金会;
关键词
cell cycle; cell-to-cell variation; FUCCI; stochastic; theoretical model; AURORA-A; DEPENDENT KINASES; HILL EQUATION; PHOSPHORYLATION; TRANSITION; DYNAMICS; ROBUST; APC/C; PLK1;
D O I
10.1007/s11095-019-2570-2
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
PurposeSince the molecular mechanism of the cell cycle was established, various theoretical models of this process have been developed. A recent study revealed significant variability in cell cycle duration between mother and daughter cells, but this observation has not been incorporated into the theoretical models.MethodsWe used fluorescent ubiquitination-based cell cycle indicator (FUCCI) systems and live-monitored the heterogeneity of cell cycle progression within daughter cells, which accounts for dephasing synchrony. To incorporate the variable cell cycle durations into a model, we modified a two-ordinary differential equation (ODE) model based on reciprocal activation between CDK1 and APC.ResultsOur model reproduced the experimental population profile, in which cell cycle synchrony dephased due to variability. Based on this model, we determined parameters for CDK1 and APC in the cell cycle profile after treatment with antimitotic drugs and associated the parameters with the drugs' mode of action as cell cycle inhibitors.ConclusionThis suggests that this model is useful for determining the mode of action of unknown small molecules on the cell cycle.
引用
收藏
页数:13
相关论文
共 35 条
[1]   Towards a systems biology approach to mammalian cell cycle: modeling the entrance into S phase of quiescent fibroblasts after serum stimulation [J].
Alfieri, Roberta ;
Barberis, Matteo ;
Chiaradonna, Ferdinando ;
Gaglio, Daniela ;
Milanesi, Luciano ;
Vanoni, Marco ;
Klipp, Edda ;
Alberghina, Lilia .
BMC BIOINFORMATICS, 2009, 10 :S16
[2]   SYNCHRONIZED MAMMALIAN CELLS - EXPERIMENTAL TEST OF MODEL FOR SYNCHRONY DECAY [J].
ANDERSON, EC ;
PETERSEN, DF .
EXPERIMENTAL CELL RESEARCH, 1964, 36 (02) :423-&
[3]  
[Anonymous], 1996, NUMERICAL RECIPES FO
[4]   The history and future of targeting cyclin-dependent kinases in cancer therapy [J].
Asghar, Uzma ;
Witkiewicz, Agnieszka K. ;
Turner, Nicholas C. ;
Knudsen, Erik S. .
NATURE REVIEWS DRUG DISCOVERY, 2015, 14 (02) :130-146
[5]   The Aurora-A inhibitor MLN8237 affects multiple mitotic processes and induces dose-dependent mitotic abnormalities and aneuploidy [J].
Asteriti, Italia Anna ;
Di Cesare, Erica ;
De Mattia, Fabiola ;
Hilsenstein, Volker ;
Neumann, Beate ;
Cundari, Enrico ;
Lavia, Patrizia ;
Guarguaglini, Giulia .
ONCOTARGET, 2014, 5 (15) :6229-6242
[6]   Aurora Kinase inhibitors: Current Status and Outlook [J].
Bavetsias, Vassilios ;
Linardopoulos, Spiros .
FRONTIERS IN ONCOLOGY, 2015, 5
[7]   STOCHASTIC THEORY OF CELL PROLIFERATION [J].
BRONK, BV ;
DIENES, GJ ;
PASKIN, A .
BIOPHYSICAL JOURNAL, 1968, 8 (11) :1353-&
[8]   Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast [J].
Davidich, Maria I. ;
Bornholdt, Stefan .
PLOS ONE, 2008, 3 (02)
[9]   Targeting Mitosis in Cancer: Emerging Strategies [J].
Dominguez-Brauer, Carmen ;
Thu, Kelsie L. ;
Mason, Jacqueline M. ;
Blaser, Heiko ;
Bray, Mark R. ;
Mak, Tak W. .
MOLECULAR CELL, 2015, 60 (04) :524-536
[10]   Stretched cell cycle model for proliferating lymphocytes [J].
Dowling, Mark R. ;
Kan, Andrey ;
Heinzel, Susanne ;
Zhou, Jie H. S. ;
Marchingo, Julia M. ;
Wellard, Cameron J. ;
Markham, John F. ;
Hodgkin, Philip D. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (17) :6377-6382