Literature DB >> 16962141

Whole-cell modeling framework in which biochemical dynamics impact aspects of cellular geometry.

Ivan V Surovstev1, Jeffrey J Morgan, Paul A Lindahl.   

Abstract

A mathematical framework for modeling biological cells from a physicochemical perspective is described. Cells modeled within this framework consist of at least two regions, including a cytosolic volume encapsulated by a membrane surface. The cytosol is viewed as a well-stirred chemical reactor capable of changing volume while the membrane is assumed to be an oriented 2-D surface capable of changing surface area. Two physical properties of the cell, namely volume and surface area, are determined by (and determine) the reaction dynamics generated from a set of chemical reactions designed to be occurring in the cell. This framework allows the modeling of complex cellular behaviors, including self-replication. This capability is illustrated by constructing two self-replicating prototypical whole-cell models. One protocell was designed to be of minimal complexity; the other to incorporate a previously reported well-known mechanism of the eukaryotic cell cycle. In both cases, self-replicative behavior was achieved by seeking stable physically possible oscillations in concentrations and surface-to-volume ratio, and by synchronizing the period of such oscillations to the doubling of cytosolic volume and membrane surface area. Rather than being enforced externally or artificially, growth and division occur naturally as a consequence of the assumed chemical mechanism operating within the framework.

Mesh:

Year:  2006        PMID: 16962141     DOI: 10.1016/j.jtbi.2006.07.020

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  6 in total

1.  Optimal control of bacterial growth for the maximization of metabolite production.

Authors:  Ivan Yegorov; Francis Mairet; Hidde de Jong; Jean-Luc Gouzé
Journal:  J Math Biol       Date:  2018-10-17       Impact factor: 2.259

2.  A comprehensive mechanistic model of iron metabolism in Saccharomyces cerevisiae.

Authors:  Paul A Lindahl
Journal:  Metallomics       Date:  2019-09-18       Impact factor: 4.526

3.  Necessary and sufficient conditions for protocell growth.

Authors:  Erwan Bigan; Loïc Paulevé; Jean-Marc Steyaert; Stéphane Douady
Journal:  J Math Biol       Date:  2016-04-18       Impact factor: 2.259

Review 4.  Mathematical modelling of microbes: metabolism, gene expression and growth.

Authors:  Hidde de Jong; Stefano Casagranda; Nils Giordano; Eugenio Cinquemani; Delphine Ropers; Johannes Geiselmann; Jean-Luc Gouzé
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

5.  Yeast cells depleted of the frataxin homolog Yfh1 redistribute cellular iron: Studies using Mössbauer spectroscopy and mathematical modeling.

Authors:  Salvador Fernandez; Joshua D Wofford; Rachel E Shepherd; Shaik Waseem Vali; Andrew Dancis; Paul A Lindahl
Journal:  J Biol Chem       Date:  2022-04-10       Impact factor: 5.486

6.  Kinetic modeling of the assembly, dynamic steady state, and contraction of the FtsZ ring in prokaryotic cytokinesis.

Authors:  Ivan V Surovtsev; Jeffrey J Morgan; Paul A Lindahl
Journal:  PLoS Comput Biol       Date:  2008-07-04       Impact factor: 4.475

  6 in total

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