Modeling cell size regulation: From single-cell level statistics to molecular mechanisms and population level effects
Po-Yi Ho, Jie Lin, Ariel Amir

TL;DR
This paper reviews mathematical models of cell size regulation, linking stochastic single-cell statistics to molecular mechanisms and population effects, highlighting biological insights and future research directions.
Contribution
It provides a comprehensive overview of coarse-grained stochastic models and their biological implications in cell size regulation.
Findings
Insights into molecular mechanisms of size control
Connection between cell cycle regulation and size
Implications for population growth dynamics
Abstract
Most microorganisms regulate their cell size. We review here some of the mathematical formulations of the problem of cell size regulation. We focus on coarse-grained stochastic models and the statistics they generate. We review the biologically relevant insights obtained from these models. We then describe cell cycle regulation and their molecular implementations, protein number regulation, and population growth, all in relation to size regulation. Finally, we discuss several future directions for developing understanding beyond phenomenological models of cell size regulation.
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Taxonomy
TopicsGene Regulatory Network Analysis · Microbial Metabolic Engineering and Bioproduction · Fungal and yeast genetics research
