Membrane binding of MinE allows for a comprehensive description of Min-protein pattern formation.

The rod-shaped bacterium Escherichia coli selects the cell center as site of division with the help of the proteins MinC, MinD, and MinE. This protein system collectively oscillates between the two cell poles by alternately binding to the membrane in one of the two cell halves. This dynamic behavior...

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Main Authors: Mike Bonny, Elisabeth Fischer-Friedrich, Martin Loose, Petra Schwille, Karsten Kruse
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24339757/pdf/?tool=EBI
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spelling doaj-d75ccc7d954948e6ac0f62ae619df82d2021-04-21T15:36:44ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582013-01-01912e100334710.1371/journal.pcbi.1003347Membrane binding of MinE allows for a comprehensive description of Min-protein pattern formation.Mike BonnyElisabeth Fischer-FriedrichMartin LoosePetra SchwilleKarsten KruseThe rod-shaped bacterium Escherichia coli selects the cell center as site of division with the help of the proteins MinC, MinD, and MinE. This protein system collectively oscillates between the two cell poles by alternately binding to the membrane in one of the two cell halves. This dynamic behavior, which emerges from the interaction of the ATPase MinD and its activator MinE on the cell membrane, has become a paradigm for protein self-organization. Recently, it has been found that not only the binding of MinD to the membrane, but also interactions of MinE with the membrane contribute to Min-protein self-organization. Here, we show that by accounting for this finding in a computational model, we can comprehensively describe all observed Min-protein patterns in vivo and in vitro. Furthermore, by varying the system's geometry, our computations predict patterns that have not yet been reported. We confirm these predictions experimentally.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24339757/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Mike Bonny
Elisabeth Fischer-Friedrich
Martin Loose
Petra Schwille
Karsten Kruse
spellingShingle Mike Bonny
Elisabeth Fischer-Friedrich
Martin Loose
Petra Schwille
Karsten Kruse
Membrane binding of MinE allows for a comprehensive description of Min-protein pattern formation.
PLoS Computational Biology
author_facet Mike Bonny
Elisabeth Fischer-Friedrich
Martin Loose
Petra Schwille
Karsten Kruse
author_sort Mike Bonny
title Membrane binding of MinE allows for a comprehensive description of Min-protein pattern formation.
title_short Membrane binding of MinE allows for a comprehensive description of Min-protein pattern formation.
title_full Membrane binding of MinE allows for a comprehensive description of Min-protein pattern formation.
title_fullStr Membrane binding of MinE allows for a comprehensive description of Min-protein pattern formation.
title_full_unstemmed Membrane binding of MinE allows for a comprehensive description of Min-protein pattern formation.
title_sort membrane binding of mine allows for a comprehensive description of min-protein pattern formation.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2013-01-01
description The rod-shaped bacterium Escherichia coli selects the cell center as site of division with the help of the proteins MinC, MinD, and MinE. This protein system collectively oscillates between the two cell poles by alternately binding to the membrane in one of the two cell halves. This dynamic behavior, which emerges from the interaction of the ATPase MinD and its activator MinE on the cell membrane, has become a paradigm for protein self-organization. Recently, it has been found that not only the binding of MinD to the membrane, but also interactions of MinE with the membrane contribute to Min-protein self-organization. Here, we show that by accounting for this finding in a computational model, we can comprehensively describe all observed Min-protein patterns in vivo and in vitro. Furthermore, by varying the system's geometry, our computations predict patterns that have not yet been reported. We confirm these predictions experimentally.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24339757/pdf/?tool=EBI
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