Proceedings of the National Academy of Sciences · 2014 · 103 citations · 28 references
Life SciencesCell BiologyImmunologyCell CycleCell DivisionCell ProliferationCell Cycle ControlCell-cycle PhasesCell-cycle ProgressionCell-cycle RegulationS PhaseT Cell BiologyCell Cycle AnalysisCell Cycle DynamicsCell Cycle ModelsCell Division ControlCell Proliferation KineticsLymphocyte DynamicsSingle-cell TrackingTime-lapse Microscopy
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.
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Visualizing Spatiotemporal Dynamics of Multicellular Cell-Cycle Progression
Asako Sakaue-Sawano, Hiroshi Kurokawa, Toshifumi Morimura et al. · Cell · 2008 · 2.3K citations · Full text
Life Sciences, Biology, Cell Biology +14
James Smith, L Martin · Proceedings of the National Academy of Sciences · 1973 · 881 citations · Full text
Life Sciences, Biology, Cell Biology +14
Quantifying T lymphocyte turnover
Rob J. de Boer, Alan S. Perelson · Journal of Theoretical Biology · 2013 · 252 citations