Cell size distribution of lineage data: analytic results and parameter inference

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:2021-06-23 10:00 —— 2021-08-04 11:47
:腾讯会议

报告人:贾晨(北京计算科学中心)

 间:62310:00

 点:腾讯会议id: 208192568 ,无密码

内容摘要:

Recent advances in single-cell technologies have enabled time-resolved measurements of the cell size over several cell cycles. This data encodes information on how cells correct size aberrations so that they do not grow abnormally large or small. Here we formulate a piecewise deterministic Markov model describing the evolution of the cell size over many generations, for all three cell size homeostasis strategies (timer, sizer, and adder). The model is solved to obtain an analytical expression for the non-Gaussian cell size distribution in a cell lineage; the theory is used to understand how the shape of the distribution is influenced by the parameters controlling the dynamics of the cell cycle and by the choice of cell tracking protocol. The theoretical cell size distribution is found to provide an excellent match to the experimental cell size distribution of E. coli lineage data collected under various growth conditions.

个人简介:

贾晨2015年于北京大学获得概率统计专业博士学位,其后先后在美国德克萨斯大学达拉斯分校与美国韦恩州立大学做博士后,2020年加入北京计算科学研究中心任特聘研究员。贾晨主要从事数学、生物学、物理学、化学交叉领域的研究,特别是生化反应系统的随机动力学与随机热力学研究。贾晨目前已发表学术论文30余篇,多项研究工作发表在Physical Review X, iScience, SIAM Journal on Applied Mathematics, Journal of Chemical Physics, Annals of Applied Probability等相关领域内的权威杂志上。  

 

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