随机生长和分裂动力学的规模:母机平台和恒温器平台中单个杆状细胞的比较研究

IF 3.1 3区 生物学 Q3 CELL BIOLOGY Molecular Biology of the Cell Pub Date : 2024-04-10 DOI:10.1091/mbc.e23-11-0452
Karl F Ziegler, Kunaal Joshi, Charles S Wright, Shaswata Roy, Will Caruso, Rudro R Biswas, Srividya Iyer-Biswas
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引用次数: 0

摘要

作者开发了一种方案,使用两种不同的微流控方法进行并排实验,发现生长率和分裂间时间不同,但分裂比分布可以精确补偿。这一条件间缩放规律为比较不同实验模式下的随机生长和分裂动力学提供了一条原则性途径。
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Scaling of stochastic growth and division dynamics: A comparative study of individual rod-shaped cells in the Mother Machine and SChemostat platforms
  • A variety of microfluidic device designs are widely used to study the behaviors of single bacterial cells between growth conditions, but a quantitative comparison of growth between different devices remained absent.

  • The authors developed a protocol to obtain side-by-side experiments using two different microfluidic approaches, finding that growth rates and interdivision times differ but are precisely compensated by the division ratio distribution.

  • Identical emergent simplicities govern stochastic intergenerational homeostasis of cell sizes across device and experimental configurations. This intercondition scaling law establishes a principled route to draw comparisons of stochastic growth and division dynamics across experimental modalities.

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来源期刊
Molecular Biology of the Cell
Molecular Biology of the Cell 生物-细胞生物学
CiteScore
6.00
自引率
6.10%
发文量
402
审稿时长
2 months
期刊介绍: MBoC publishes research articles that present conceptual advances of broad interest and significance within all areas of cell, molecular, and developmental biology. We welcome manuscripts that describe advances with applications across topics including but not limited to: cell growth and division; nuclear and cytoskeletal processes; membrane trafficking and autophagy; organelle biology; quantitative cell biology; physical cell biology and mechanobiology; cell signaling; stem cell biology and development; cancer biology; cellular immunology and microbial pathogenesis; cellular neurobiology; prokaryotic cell biology; and cell biology of disease.
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