Literature DB >> 18553472

A finite representation model for an asynchronous culture of E. coli.

M M Domach1, M L Shuler.   

Abstract

A computer model is described which models an asynchronous population of E. coli by using a large, but finite number of representative single cells. Asynchrony generation and maintenance occurs at the single cell level by modulating the activity of an enzyme responsible for septum formation. Such modulation introduces cycle time imprecision and does not require the introduction of any new parameters into the single-cell model. Based on comparisons to experiment, reasonable predictions are possible for changes of cellular dry weight during exponential growth and turbidostat washout, and overall chemostat cell yields and changes in cell number, glucose concentration, and cell size distribution for a chemostat subject to a step change in dilution rate. Additionally, a correlation between cell RNA content and size is predicted as is an inertial effect when chemostat residence time is decreased under conditions of initially high glucose concentrations. Limitations imposed by the model's finite nature and their solutions are discussed.

Entities:  

Year:  1984        PMID: 18553472     DOI: 10.1002/bit.260260810

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  11 in total

Review 1.  Estimation methods for heterogeneous cell population models in systems biology.

Authors:  Steffen Waldherr
Journal:  J R Soc Interface       Date:  2018-10-31       Impact factor: 4.118

2.  A mathematical and computational approach for integrating the major sources of cell population heterogeneity.

Authors:  Michail Stamatakis; Kyriacos Zygourakis
Journal:  J Theor Biol       Date:  2010-06-08       Impact factor: 2.691

3.  Application of chemical reaction engineering principles to 'body-on-a-chip' systems.

Authors:  Jong Hwan Sung; Ying I Wang; Jung Hun Kim; Jong Min Lee; Michael L Shuler
Journal:  AIChE J       Date:  2018-10-12       Impact factor: 3.993

Review 4.  The future of whole-cell modeling.

Authors:  Derek N Macklin; Nicholas A Ruggero; Markus W Covert
Journal:  Curr Opin Biotechnol       Date:  2014-02-17       Impact factor: 9.740

Review 5.  Systems engineering medicine: engineering the inflammation response to infectious and traumatic challenges.

Authors:  Robert S Parker; Gilles Clermont
Journal:  J R Soc Interface       Date:  2010-02-10       Impact factor: 4.118

6.  A modular minimal cell model: purine and pyrimidine transport and metabolism.

Authors:  M Castellanos; D B Wilson; M L Shuler
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-16       Impact factor: 11.205

Review 7.  Deconstructing stem cell population heterogeneity: single-cell analysis and modeling approaches.

Authors:  Jincheng Wu; Emmanuel S Tzanakakis
Journal:  Biotechnol Adv       Date:  2013-09-11       Impact factor: 14.227

8.  Modelling of Mammalian cells and cell culture processes.

Authors:  F R Sidoli; A Mantalaris; S P Asprey
Journal:  Cytotechnology       Date:  2004-01       Impact factor: 2.058

9.  Heterogeneity reduces sensitivity of cell death for TNF-stimuli.

Authors:  Monica Schliemann; Eric Bullinger; Steffen Borchers; Frank Allgöwer; Rolf Findeisen; Peter Scheurich
Journal:  BMC Syst Biol       Date:  2011-12-28

10.  Contribution of stochastic partitioning at human embryonic stem cell division to NANOG heterogeneity.

Authors:  Jincheng Wu; Emmanuel S Tzanakakis
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

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