ArticleBMC bioinformatics2019
Efficient computation of stochastic cell-size transient dynamics.
Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Coupling Bacterial Cell Size Regulation with Clonal Proliferation Dynamics Reveals Cell Division Based on Surface Area.bioRxiv : the preprint server for biology · 2025Article
- A generalized adder for cell size homeostasis: Effects on stochastic clonal proliferation.Biophysical journal · 2025Article
- PyEcoLib: a python library for simulating stochastic cell size dynamics.Physical biology · 2023Article
- Characterizing non-exponential growth and bimodal cell size distributions in fission yeast: An analytical approach.PLoS computational biology · 2022Article
- Stability and Robustness of Unbalanced Genetic Toggle Switches in the Presence of Scarce Resources.Life (Basel, Switzerland) · 2021Article
- Article
- Modeling homeostasis mechanisms that set the target cell size.Scientific reports · 2020Article
- Effects of repetitive Iodine thyroid blocking on the foetal brain and thyroid in rats: a systems biology approach.Scientific reports · 2020Article
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Authors and funding
4 authors.
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Abstract
backgroundHow small, fast-growing bacteria ensure tight cell-size distributions remains elusive. High-throughput measurement techniques have propelled efforts to build modeling tools that help to shed light on the relationships between cell size, growth and cycle progression. Most proposed models describe cell division as a discrete map between size at birth and size at division with stochastic fluctuations assumed. However, such models underestimate the role of cell size transient dynamics by excluding them.
resultsWe propose an efficient approach for estimation of cell size transient dynamics. Our technique approximates the transient size distribution and statistical moment dynamics of exponential growing cells following an adder strategy with arbitrary precision.
conclusionsWe approximate, up to arbitrary precision, the distribution of division times and size across time for the adder strategy in rod-shaped bacteria cells. Our approach is able to compute statistical moments like mean size and its variance from such distributions efficiently, showing close match with numerical simulations. Additionally, we observed that these distributions have periodic properties. Our approach further might shed light on the mechanisms behind gene product homeostasis.
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