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Transmembrane Helix Dynamics of Bacterial Chemoreceptors Supports a Piston Model of Signalling
Transmembrane α-helices play a key role in many receptors, transmitting a signal from one side to the other of the lipid bilayer membrane. Bacterial chemoreceptors are one of the best studied such systems, with a wealth of biophysical and mutational data indicating a key role for the TM2 helix in si...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3197627/ https://www.ncbi.nlm.nih.gov/pubmed/22028633 http://dx.doi.org/10.1371/journal.pcbi.1002204 |
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author | Hall, Benjamin A. Armitage, Judith P. Sansom, Mark S. P. |
author_facet | Hall, Benjamin A. Armitage, Judith P. Sansom, Mark S. P. |
author_sort | Hall, Benjamin A. |
collection | PubMed |
description | Transmembrane α-helices play a key role in many receptors, transmitting a signal from one side to the other of the lipid bilayer membrane. Bacterial chemoreceptors are one of the best studied such systems, with a wealth of biophysical and mutational data indicating a key role for the TM2 helix in signalling. In particular, aromatic (Trp and Tyr) and basic (Arg) residues help to lock α-helices into a membrane. Mutants in TM2 of E. coli Tar and related chemoreceptors involving these residues implicate changes in helix location and/or orientation in signalling. We have investigated the detailed structural basis of this via high throughput coarse-grained molecular dynamics (CG-MD) of Tar TM2 and its mutants in lipid bilayers. We focus on the position (shift) and orientation (tilt, rotation) of TM2 relative to the bilayer and how these are perturbed in mutants relative to the wildtype. The simulations reveal a clear correlation between small (ca. 1.5 Å) shift in position of TM2 along the bilayer normal and downstream changes in signalling activity. Weaker correlations are seen with helix tilt, and little/none between signalling and helix twist. This analysis of relatively subtle changes was only possible because the high throughput simulation method allowed us to run large (n = 100) ensembles for substantial numbers of different helix sequences, amounting to ca. 2000 simulations in total. Overall, this analysis supports a swinging-piston model of transmembrane signalling by Tar and related chemoreceptors. |
format | Online Article Text |
id | pubmed-3197627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31976272011-10-25 Transmembrane Helix Dynamics of Bacterial Chemoreceptors Supports a Piston Model of Signalling Hall, Benjamin A. Armitage, Judith P. Sansom, Mark S. P. PLoS Comput Biol Research Article Transmembrane α-helices play a key role in many receptors, transmitting a signal from one side to the other of the lipid bilayer membrane. Bacterial chemoreceptors are one of the best studied such systems, with a wealth of biophysical and mutational data indicating a key role for the TM2 helix in signalling. In particular, aromatic (Trp and Tyr) and basic (Arg) residues help to lock α-helices into a membrane. Mutants in TM2 of E. coli Tar and related chemoreceptors involving these residues implicate changes in helix location and/or orientation in signalling. We have investigated the detailed structural basis of this via high throughput coarse-grained molecular dynamics (CG-MD) of Tar TM2 and its mutants in lipid bilayers. We focus on the position (shift) and orientation (tilt, rotation) of TM2 relative to the bilayer and how these are perturbed in mutants relative to the wildtype. The simulations reveal a clear correlation between small (ca. 1.5 Å) shift in position of TM2 along the bilayer normal and downstream changes in signalling activity. Weaker correlations are seen with helix tilt, and little/none between signalling and helix twist. This analysis of relatively subtle changes was only possible because the high throughput simulation method allowed us to run large (n = 100) ensembles for substantial numbers of different helix sequences, amounting to ca. 2000 simulations in total. Overall, this analysis supports a swinging-piston model of transmembrane signalling by Tar and related chemoreceptors. Public Library of Science 2011-10-20 /pmc/articles/PMC3197627/ /pubmed/22028633 http://dx.doi.org/10.1371/journal.pcbi.1002204 Text en Hall et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hall, Benjamin A. Armitage, Judith P. Sansom, Mark S. P. Transmembrane Helix Dynamics of Bacterial Chemoreceptors Supports a Piston Model of Signalling |
title | Transmembrane Helix Dynamics of Bacterial Chemoreceptors Supports a Piston Model of Signalling |
title_full | Transmembrane Helix Dynamics of Bacterial Chemoreceptors Supports a Piston Model of Signalling |
title_fullStr | Transmembrane Helix Dynamics of Bacterial Chemoreceptors Supports a Piston Model of Signalling |
title_full_unstemmed | Transmembrane Helix Dynamics of Bacterial Chemoreceptors Supports a Piston Model of Signalling |
title_short | Transmembrane Helix Dynamics of Bacterial Chemoreceptors Supports a Piston Model of Signalling |
title_sort | transmembrane helix dynamics of bacterial chemoreceptors supports a piston model of signalling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3197627/ https://www.ncbi.nlm.nih.gov/pubmed/22028633 http://dx.doi.org/10.1371/journal.pcbi.1002204 |
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