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Dynamics extracted from fixed cells reveal feedback linking cell growth to cell cycle

机译：从固定细胞中提取的动力学揭示了将细胞生长与细胞周期联系起来的反馈

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摘要

Biologists have long been concerned about what constrains variation in cell size, but progress in this field has been slow and stymied by experimental limitations. Here we describe a new method, ergodic rate analysis (ERA), that uses single-cell measurements of fixed steady-state populations to accurately infer the rates of molecular events, including rates of cell growth. ERA exploits the fact that the number of cells in a particular state is related to the average transit time through that state. With this method, it is possible to calculate full time trajectories of any feature that can be labelled in fixed cells, for example levels of phosphoproteins or total cellular mass. Using ERA we find evidence for a size-discriminatory process at the Gl/S transition that acts to decrease cell-to-cell size variation.
机译：长期以来，生物学家一直在关注什么会限制细胞大小的变化，但是由于实验局限性，该领域的进展缓慢且受阻。在这里，我们描述了一种新的方法，遍历速率分析（ERA），该方法使用固定稳态种群的单细胞测量来准确推断分子事件的速率，包括细胞生长速率。 ERA利用以下事实：特定状态下的单元数与通过该状态的平均传输时间有关。使用这种方法，可以计算固定细胞中可以标记的任何特征的全时轨迹，例如磷蛋白水平或总细胞量。使用ERA，我们发现了在Gl / S转换过程中大小差异化过程的证据，该过程可减少细胞间大小差异。

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  • 来源
    《Nature》 |2013年第7438期|480-483|共4页
  • 作者

    Ran Kafri; Jason Levy; Miriam B. Ginzberg; Seungeun Oh; Galit Lahav; Marc W. Kirschner;

  • 作者单位

    Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA;

    Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario KIN 6N5, Canada;

    Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA;

    Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA;

    Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA;

    Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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