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How nanoscale protein interactions determine the mesoscale dynamic organisation of bacterial outer membrane proteins
The spatiotemporal organisation of membranes is often characterised by the formation of large protein clusters. In Escherichia coli, outer membrane protein (OMP) clustering leads to OMP islands, the formation of which underpins OMP turnover and drives organisation across the cell envelope. Modelling...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054660/ https://www.ncbi.nlm.nih.gov/pubmed/30030429 http://dx.doi.org/10.1038/s41467-018-05255-9 |
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author | Chavent, Matthieu Duncan, Anna L. Rassam, Patrice Birkholz, Oliver Hélie, Jean Reddy, Tyler Beliaev, Dmitry Hambly, Ben Piehler, Jacob Kleanthous, Colin Sansom, Mark S. P. |
author_facet | Chavent, Matthieu Duncan, Anna L. Rassam, Patrice Birkholz, Oliver Hélie, Jean Reddy, Tyler Beliaev, Dmitry Hambly, Ben Piehler, Jacob Kleanthous, Colin Sansom, Mark S. P. |
author_sort | Chavent, Matthieu |
collection | PubMed |
description | The spatiotemporal organisation of membranes is often characterised by the formation of large protein clusters. In Escherichia coli, outer membrane protein (OMP) clustering leads to OMP islands, the formation of which underpins OMP turnover and drives organisation across the cell envelope. Modelling how OMP islands form in order to understand their origin and outer membrane behaviour has been confounded by the inherent difficulties of simulating large numbers of OMPs over meaningful timescales. Here, we overcome these problems by training a mesoscale model incorporating thousands of OMPs on coarse-grained molecular dynamics simulations. We achieve simulations over timescales that allow direct comparison to experimental data of OMP behaviour. We show that specific interaction surfaces between OMPs are key to the formation of OMP clusters, that OMP clusters present a mesh of moving barriers that confine newly inserted proteins within islands, and that mesoscale simulations recapitulate the restricted diffusion characteristics of OMPs. |
format | Online Article Text |
id | pubmed-6054660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60546602018-07-26 How nanoscale protein interactions determine the mesoscale dynamic organisation of bacterial outer membrane proteins Chavent, Matthieu Duncan, Anna L. Rassam, Patrice Birkholz, Oliver Hélie, Jean Reddy, Tyler Beliaev, Dmitry Hambly, Ben Piehler, Jacob Kleanthous, Colin Sansom, Mark S. P. Nat Commun Article The spatiotemporal organisation of membranes is often characterised by the formation of large protein clusters. In Escherichia coli, outer membrane protein (OMP) clustering leads to OMP islands, the formation of which underpins OMP turnover and drives organisation across the cell envelope. Modelling how OMP islands form in order to understand their origin and outer membrane behaviour has been confounded by the inherent difficulties of simulating large numbers of OMPs over meaningful timescales. Here, we overcome these problems by training a mesoscale model incorporating thousands of OMPs on coarse-grained molecular dynamics simulations. We achieve simulations over timescales that allow direct comparison to experimental data of OMP behaviour. We show that specific interaction surfaces between OMPs are key to the formation of OMP clusters, that OMP clusters present a mesh of moving barriers that confine newly inserted proteins within islands, and that mesoscale simulations recapitulate the restricted diffusion characteristics of OMPs. Nature Publishing Group UK 2018-07-20 /pmc/articles/PMC6054660/ /pubmed/30030429 http://dx.doi.org/10.1038/s41467-018-05255-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chavent, Matthieu Duncan, Anna L. Rassam, Patrice Birkholz, Oliver Hélie, Jean Reddy, Tyler Beliaev, Dmitry Hambly, Ben Piehler, Jacob Kleanthous, Colin Sansom, Mark S. P. How nanoscale protein interactions determine the mesoscale dynamic organisation of bacterial outer membrane proteins |
title | How nanoscale protein interactions determine the mesoscale dynamic organisation of bacterial outer membrane proteins |
title_full | How nanoscale protein interactions determine the mesoscale dynamic organisation of bacterial outer membrane proteins |
title_fullStr | How nanoscale protein interactions determine the mesoscale dynamic organisation of bacterial outer membrane proteins |
title_full_unstemmed | How nanoscale protein interactions determine the mesoscale dynamic organisation of bacterial outer membrane proteins |
title_short | How nanoscale protein interactions determine the mesoscale dynamic organisation of bacterial outer membrane proteins |
title_sort | how nanoscale protein interactions determine the mesoscale dynamic organisation of bacterial outer membrane proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054660/ https://www.ncbi.nlm.nih.gov/pubmed/30030429 http://dx.doi.org/10.1038/s41467-018-05255-9 |
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