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原文連結
論文資訊
- 類型：已發表論文
- 日期：2023-01-05
摘要
Our understanding of the 細菌l cell cycle is framed largely by 族群-based experiments that focus on the behavior of idealized average cells. Most famously, the contributions of Cooper and Helmstetter help to contextualize the phenomenon of overlapping replication cycles observed in rapidly growing 細菌. Despite the undeniable value of these approaches, their necessary reliance on the behavior of idealized average cells masks the 隨機ity inherent in single-cell growth and physiology and limits their mechanistic value. To bridge this gap, we propose an updated and agnostic framework, informed by extant single-cell data, that quantitatively accounts for 隨機 variations in single-cell dynamics and the impact of medium composition on cell growth and cell cycle progression. In this framework, 隨機 timers se
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