Literature DB >> 20012222

A new multicompartmental reaction-diffusion modeling method links transient membrane attachment of E. coli MinE to E-ring formation.

Satya Nanda Vel Arjunan, Masaru Tomita.   

Abstract

UNLABELLED: Many important cellular processes are regulated by reaction-diffusion (RD) of molecules that takes place both in the cytoplasm and on the membrane. To model and analyze such multicompartmental processes, we developed a lattice-based Monte Carlo method, Spatiocyte that supports RD in volume and surface compartments at single molecule resolution. Stochasticity in RD and the excluded volume effect brought by intracellular molecular crowding, both of which can significantly affect RD and thus, cellular processes, are also supported. We verified the method by comparing simulation results of diffusion, irreversible and reversible reactions with the predicted analytical and best available numerical solutions. Moreover, to directly compare the localization patterns of molecules in fluorescence microscopy images with simulation, we devised a visualization method that mimics the microphotography process by showing the trajectory of simulated molecules averaged according to the camera exposure time. In the rod-shaped bacterium Escherichia coli, the division site is suppressed at the cell poles by periodic pole-to-pole oscillations of the Min proteins (MinC, MinD and MinE) arising from carefully orchestrated RD in both cytoplasm and membrane compartments. Using Spatiocyte we could model and reproduce the in vivo MinDE localization dynamics by accounting for the previously reported properties of MinE. Our results suggest that the MinE ring, which is essential in preventing polar septation, is largely composed of MinE that is transiently attached to the membrane independently after recruited by MinD. Overall, Spatiocyte allows simulation and visualization of complex spatial and reaction-diffusion mediated cellular processes in volumes and surfaces. As we showed, it can potentially provide mechanistic insights otherwise difficult to obtain experimentally. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11693-009-9047-2) contains supplementary material, which is available to authorized users.

Entities:  

Keywords:  Bacterial cytoskeleton; Diffusion-limited; E-Cell; E-ring; FtsZ; Multiscale; Noise; Spatial gradient

Year:  2009        PMID: 20012222      PMCID: PMC2816228          DOI: 10.1007/s11693-009-9047-2

Source DB:  PubMed          Journal:  Syst Synth Biol        ISSN: 1872-5325


  71 in total

1.  The dimerization and topological specificity functions of MinE reside in a structurally autonomous C-terminal domain.

Authors:  G F King; S L Rowland; B Pan; J P Mackay; G P Mullen; L I Rothfield
Journal:  Mol Microbiol       Date:  1999-02       Impact factor: 3.501

2.  Pattern formation in Escherichia coli: a model for the pole-to-pole oscillations of Min proteins and the localization of the division site.

Authors:  H Meinhardt; P A de Boer
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-04       Impact factor: 11.205

3.  Mapping the MinE site involved in interaction with the MinD division site selection protein of Escherichia coli.

Authors:  Lu-Yan Ma; Glenn King; Lawrence Rothfield
Journal:  J Bacteriol       Date:  2003-08       Impact factor: 3.490

Review 4.  Space in systems biology of signaling pathways--towards intracellular molecular crowding in silico.

Authors:  Kouichi Takahashi; Satya Nanda Vel Arjunan; Masaru Tomita
Journal:  FEBS Lett       Date:  2005-03-21       Impact factor: 4.124

5.  Stochastic reaction-diffusion simulation with MesoRD.

Authors:  Johan Hattne; David Fange; Johan Elf
Journal:  Bioinformatics       Date:  2005-04-07       Impact factor: 6.937

6.  Stochastic simulation of chemical reactions with spatial resolution and single molecule detail.

Authors:  Steven S Andrews; Dennis Bray
Journal:  Phys Biol       Date:  2004-12       Impact factor: 2.583

7.  Spatial stochastic modelling of the phosphoenolpyruvate-dependent phosphotransferase (PTS) pathway in Escherichia coli.

Authors:  J Vidal Rodríguez; Jaap A Kaandorp; Maciej Dobrzyński; Joke G Blom
Journal:  Bioinformatics       Date:  2006-05-26       Impact factor: 6.937

Review 8.  Fluorescent probes for super-resolution imaging in living cells.

Authors:  Marta Fernández-Suárez; Alice Y Ting
Journal:  Nat Rev Mol Cell Biol       Date:  2008-11-12       Impact factor: 94.444

Review 9.  Bacterial cell division: assembly, maintenance and disassembly of the Z ring.

Authors:  David W Adams; Jeff Errington
Journal:  Nat Rev Microbiol       Date:  2009-09       Impact factor: 60.633

10.  Division accuracy in a stochastic model of Min oscillations in Escherichia coli.

Authors:  Rex A Kerr; Herbert Levine; Terrence J Sejnowski; Wouter-Jan Rappel
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-30       Impact factor: 11.205

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  32 in total

1.  Single molecule simulations in complex geometries with embedded dynamic one-dimensional structures.

Authors:  Stefan Hellander
Journal:  J Chem Phys       Date:  2013-07-07       Impact factor: 3.488

2.  The Min oscillator uses MinD-dependent conformational changes in MinE to spatially regulate cytokinesis.

Authors:  Kyung-Tae Park; Wei Wu; Kevin P Battaile; Scott Lovell; Todd Holyoak; Joe Lutkenhaus
Journal:  Cell       Date:  2011-08-05       Impact factor: 41.582

Review 3.  Mechanistic insights of the Min oscillator via cell-free reconstitution and imaging.

Authors:  Kiyoshi Mizuuchi; Anthony G Vecchiarelli
Journal:  Phys Biol       Date:  2018-03-01       Impact factor: 2.583

4.  Min protein patterns emerge from rapid rebinding and membrane interaction of MinE.

Authors:  Martin Loose; Elisabeth Fischer-Friedrich; Christoph Herold; Karsten Kruse; Petra Schwille
Journal:  Nat Struct Mol Biol       Date:  2011-04-24       Impact factor: 15.369

5.  Effects of molecular noise on bistable protein distributions in rod-shaped bacteria.

Authors:  L Wettmann; M Bonny; K Kruse
Journal:  Interface Focus       Date:  2014-12-06       Impact factor: 3.906

6.  Stochastic fusion simulations and experiments suggest passive and active roles of hemagglutinin during membrane fusion.

Authors:  Donald W Lee; Vikram Thapar; Paulette Clancy; Susan Daniel
Journal:  Biophys J       Date:  2014-02-18       Impact factor: 4.033

7.  Effective 2D model does not account for geometry sensing by self-organized proteins patterns.

Authors:  Jacob Halatek; Erwin Frey
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-03       Impact factor: 11.205

8.  Perspective: On the importance of hydrodynamic interactions in the subcellular dynamics of macromolecules.

Authors:  Jeffrey Skolnick
Journal:  J Chem Phys       Date:  2016-09-14       Impact factor: 3.488

Review 9.  The Min-protein oscillations in Escherichia coli: an example of self-organized cellular protein waves.

Authors:  Lukas Wettmann; Karsten Kruse
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-05-26       Impact factor: 6.237

10.  Detailed simulations of cell biology with Smoldyn 2.1.

Authors:  Steven S Andrews; Nathan J Addy; Roger Brent; Adam P Arkin
Journal:  PLoS Comput Biol       Date:  2010-03-12       Impact factor: 4.475

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