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The paths of mortality: how understanding the biology of aging can help explain systems behavior of single cells

机译:死亡率的途径:了解衰老的生物学如何帮助解释单细胞的系统行为

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摘要

Aging is a fundamental aspect of life, yet also one of the most confounding. In individual cells, aging results in a progressive decline which affects all organelles and reduces a cell’s ability to maintain homeostasis. Because of the interconnected nature of cellular systems, the failure of even a single organelle can have cascading effects. We are just beginning to understand the dramatic physiological changes that occur during aging. Because most aging research has focused on population dynamics, or differences between wild-type and mutant populations, single-cell behavior has been largely overlooked. An open question is whether aging cells are defined by predictable sequences of physiological changes, or whether they proceed along divergent aging trajectories defined by whichever system begins to fail first. Can aging be best characterized by a cell-cycle like model with stereotyped states all cells progress through, or a Waddington landscape with divergent trajectories? Here we present work on understanding the changing physiological states of aging cells, why it will impact systems and synthetic biologists, and how the systems community can contribute significantly to the study of aging.
机译:衰老是生活的基本方面,也是最令人困惑的问题之一。在单个细胞中,衰老会导致逐渐衰退,从而影响所有细胞器并降低细胞维持体内稳态的能力。由于细胞系统的相互联系的性质,即使是单个细胞器的失效也会产生级联效应。我们才刚刚开始了解衰老过程中发生的剧烈生理变化。由于大多数衰老研究都集中在种群动态或野生型和突变种群之间的差异上,因此单细胞行为已被大大忽略。一个悬而未决的问题是衰老细胞是否由生理变化的可预测序列定义,或者它们是否沿着由哪个系统首先开始失效所定义的不同衰老轨迹进行。是否可以通过像细胞周期那样具有定型状态的模型来表征所有细胞的衰老,或者通过具有不同轨迹的Waddington景观来最好地描述衰老?在这里,我们提出了关于了解衰老细胞不断变化的生理状态,为什么会影响系统和合成生物学家以及系统界如何为衰老研究做出重大贡献的工作。

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  • 页码 25–31
  • 总页数 13
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