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Stretched cell cycle model for proliferating lymphocytes.


ABSTRACT: 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 G1 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.

SUBMITTER: Dowling MR 

PROVIDER: S-EPMC4036001 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature

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Stretched cell cycle model for proliferating lymphocytes.

Dowling Mark R MR   Kan Andrey A   Heinzel Susanne S   Zhou Jie H S JH   Marchingo Julia M JM   Wellard Cameron J CJ   Markham John F JF   Hodgkin Philip D PD  

Proceedings of the National Academy of Sciences of the United States of America 20140414 17


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 G1 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 phase  ...[more]

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