文章基本信息

标题：Cell size distribution of lineage data: Analytic results and parameter inference
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作者：Chen Jia ; Abhyudai Singh ; Ramon Grima 等
期刊名称：iScience
印刷版ISSN：2589-0042
出版年度：2021
卷号：24
期号：3
页码：1-34
DOI：10.1016/j.isci.2021.102220
语种：English
出版社：Elsevier
摘要：SummaryRecent advances in single-cell technologies have enabled time-resolved measurements of the cell size over several cell cycles. These data encode 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 ofE. colilineage data collected under various growth conditions.Graphical abstractDisplay OmittedHighlights•Analytical expression is derived for the cell size distribution of lineage measurements•Theory explains the uncommon shape of the cell size distribution inE. coli•Multimodal size distribution is predicted for asymmetric division with random tracking•Size distribution matching gives accurate inference of size control strategyCell Biology; Systems Biology; In Silico Biology