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Random transitions and cell cycle control

R F Brooks

    Progress in Clinical and Biological Research
    |January 1, 1981
    PubMed
    Summary
    This summary is machine-generated.

    Cell cycle variations arise from a single random step and correlated sister cell timing. A model explains this, proposing two random transitions influencing cell cycle length and lag time.

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    Area of Science:

    • Cell Biology
    • Quantitative Biology

    Background:

    • Cell cycle duration exhibits variations between sister cells.
    • Overall cell cycle times are not exponentially distributed, suggesting additional variation sources.

    Purpose of the Study:

    • To explain the distribution of cell cycle times and sister cell correlations.
    • To present a model predicting cell cycle dynamics and lag phases in response to stimulation.

    Main Methods:

    • Analysis of sister cell cycle time differences.
    • Development and quantitative prediction using a two-transition cell cycle model.

    Main Results:

    • Sister cell cycle time differences follow an exponential distribution due to a single random step.
    • Overall cycle times show deviations, indicating correlated sister cell variations.

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  • The proposed model quantitatively predicts these distributions and correlations.

    • Conclusions:

    • A two-random-transition model explains cell cycle timing, including lag phases.
    • A key lengthy process (L) is proposed as the fundamental timing element.
    • Similarities exist between process L and mitotic center biogenesis.