Stretched cell cycle model for proliferating lymphocytes

被引:71
作者
Dowling, Mark R. [1 ,2 ]
Kan, Andrey [1 ,2 ]
Heinzel, Susanne [1 ,2 ]
Zhou, Jie H. S. [1 ,2 ]
Marchingo, Julia M. [1 ,2 ]
Wellard, Cameron J. [1 ,2 ]
Markham, John F. [1 ,2 ,3 ]
Hodgkin, Philip D. [1 ,2 ]
机构
[1] Walter & Eliza Hall Inst Med Res, Div Immunol, Parkville, Vic 3052, Australia
[2] Univ Melbourne, Dept Med Biol, Parkville, Vic 3010, Australia
[3] Univ Melbourne, Natl ICT Australia, Victoria Res Lab, Parkville, Vic 3010, Australia
基金
英国医学研究理事会;
关键词
Smith-Martin model; FUCCI; time lapse microscopy; lognormal distribution; bromodeoxyuridine; TRANSITION-PROBABILITY; MOUSE FIBROBLASTS; GENERATION TIMES; DEATH; POPULATIONS; PROGRESSION; DIVISION; GROWTH; VITRO; AGE;
D O I
10.1073/pnas.1322420111
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Stochastic variation in cell cycle time is a consistent feature of otherwise similar cells within a growing population. Classic studies concluded that the bulk of the variation occurs in the G(1) phase, and many mathematical models assume a constant time for traversing the S/G2/M phases. By direct observation of transgenic fluorescent fusion proteins that report the onset of S phase, we establish that dividing B and T lymphocytes spend a near-fixed proportion of total division time in S/G2/M phases, and this proportion is correlated between sibling cells. This result is inconsistent with models that assume independent times for consecutive phases. Instead, we propose a stretching model for dividing lymphocytes where all parts of the cell cycle are proportional to total division time. Data fitting based on a stretched cell cycle model can significantly improve estimates of cell cycle parameters drawn from DNA labeling data used to monitor immune cell dynamics.
引用
收藏
页码:6377 / 6382
页数:6
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