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Quantitative prediction and measurement of Piezo's membrane footprint
Piezo proteins are mechanosensitive ion channels that can locally curve the membrane into a dome shape [Y. R. Guo, R. MacKinnon, eLife 6, e33660 (2017)]. The curved shape of the Piezo dome is expected to deform the surrounding lipid bilayer membrane into a membrane footprint, which may serve to ampl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546538/ https://www.ncbi.nlm.nih.gov/pubmed/36166475 http://dx.doi.org/10.1073/pnas.2208027119 |
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author | Haselwandter, Christoph A. Guo, Yusong R. Fu, Ziao MacKinnon, Roderick |
author_facet | Haselwandter, Christoph A. Guo, Yusong R. Fu, Ziao MacKinnon, Roderick |
author_sort | Haselwandter, Christoph A. |
collection | PubMed |
description | Piezo proteins are mechanosensitive ion channels that can locally curve the membrane into a dome shape [Y. R. Guo, R. MacKinnon, eLife 6, e33660 (2017)]. The curved shape of the Piezo dome is expected to deform the surrounding lipid bilayer membrane into a membrane footprint, which may serve to amplify Piezo’s sensitivity to applied forces [C. A. Haselwandter, R. MacKinnon, eLife 7, e41968 (2018)]. If Piezo proteins are embedded in lipid bilayer vesicles, the membrane shape deformations induced by the Piezo dome depend on the vesicle size. We employ here membrane elasticity theory to predict, with no free parameters, the shape of such Piezo vesicles outside the Piezo dome, and show that the predicted vesicle shapes agree quantitatively with the corresponding measured vesicle shapes obtained through cryoelectron tomography, for a range of vesicle sizes [W. Helfrich, Z. Naturforsch. C 28, 693–703 (1973)]. On this basis, we explore the coupling between Piezo and membrane shape and demonstrate that the features of the Piezo dome affecting Piezo’s membrane footprint approximately follow a spherical cap geometry. Our work puts into place the foundation for deducing key elastic properties of the Piezo dome from membrane shape measurements and provides a general framework for quantifying how proteins deform bilayer membranes. |
format | Online Article Text |
id | pubmed-9546538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-95465382022-10-08 Quantitative prediction and measurement of Piezo's membrane footprint Haselwandter, Christoph A. Guo, Yusong R. Fu, Ziao MacKinnon, Roderick Proc Natl Acad Sci U S A Physical Sciences Piezo proteins are mechanosensitive ion channels that can locally curve the membrane into a dome shape [Y. R. Guo, R. MacKinnon, eLife 6, e33660 (2017)]. The curved shape of the Piezo dome is expected to deform the surrounding lipid bilayer membrane into a membrane footprint, which may serve to amplify Piezo’s sensitivity to applied forces [C. A. Haselwandter, R. MacKinnon, eLife 7, e41968 (2018)]. If Piezo proteins are embedded in lipid bilayer vesicles, the membrane shape deformations induced by the Piezo dome depend on the vesicle size. We employ here membrane elasticity theory to predict, with no free parameters, the shape of such Piezo vesicles outside the Piezo dome, and show that the predicted vesicle shapes agree quantitatively with the corresponding measured vesicle shapes obtained through cryoelectron tomography, for a range of vesicle sizes [W. Helfrich, Z. Naturforsch. C 28, 693–703 (1973)]. On this basis, we explore the coupling between Piezo and membrane shape and demonstrate that the features of the Piezo dome affecting Piezo’s membrane footprint approximately follow a spherical cap geometry. Our work puts into place the foundation for deducing key elastic properties of the Piezo dome from membrane shape measurements and provides a general framework for quantifying how proteins deform bilayer membranes. National Academy of Sciences 2022-09-27 2022-10-04 /pmc/articles/PMC9546538/ /pubmed/36166475 http://dx.doi.org/10.1073/pnas.2208027119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Physical Sciences Haselwandter, Christoph A. Guo, Yusong R. Fu, Ziao MacKinnon, Roderick Quantitative prediction and measurement of Piezo's membrane footprint |
title | Quantitative prediction and measurement of Piezo's membrane footprint |
title_full | Quantitative prediction and measurement of Piezo's membrane footprint |
title_fullStr | Quantitative prediction and measurement of Piezo's membrane footprint |
title_full_unstemmed | Quantitative prediction and measurement of Piezo's membrane footprint |
title_short | Quantitative prediction and measurement of Piezo's membrane footprint |
title_sort | quantitative prediction and measurement of piezo's membrane footprint |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546538/ https://www.ncbi.nlm.nih.gov/pubmed/36166475 http://dx.doi.org/10.1073/pnas.2208027119 |
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