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Synergy between intrinsically disordered domains and structured proteins amplifies membrane curvature sensing
The ability of proteins to sense membrane curvature is essential to cellular function. All known sensing mechanisms rely on protein domains with specific structural features such as wedge-like amphipathic helices and crescent-shaped BAR domains. Yet many proteins that contain these domains also cont...
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/PMC6175956/ https://www.ncbi.nlm.nih.gov/pubmed/30297718 http://dx.doi.org/10.1038/s41467-018-06532-3 |
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author | Zeno, Wade F. Baul, Upayan Snead, Wilton T. DeGroot, Andre C. M. Wang, Liping Lafer, Eileen M. Thirumalai, D. Stachowiak, Jeanne C. |
author_facet | Zeno, Wade F. Baul, Upayan Snead, Wilton T. DeGroot, Andre C. M. Wang, Liping Lafer, Eileen M. Thirumalai, D. Stachowiak, Jeanne C. |
author_sort | Zeno, Wade F. |
collection | PubMed |
description | The ability of proteins to sense membrane curvature is essential to cellular function. All known sensing mechanisms rely on protein domains with specific structural features such as wedge-like amphipathic helices and crescent-shaped BAR domains. Yet many proteins that contain these domains also contain large intrinsically disordered regions. Here we report that disordered domains are themselves potent sensors of membrane curvature. Comparison of Monte Carlo simulations with in vitro and live-cell measurements demonstrates that the polymer-like behavior of disordered domains found in endocytic proteins drives them to partition preferentially to convex membrane surfaces, which place fewer geometric constraints on their conformational entropy. Further, proteins containing both structured curvature sensors and disordered regions are more than twice as curvature sensitive as their respective structured domains alone. These findings demonstrate an entropic mechanism of curvature sensing that is independent of protein structure and illustrate how structured and disordered domains can synergistically enhance curvature sensitivity. |
format | Online Article Text |
id | pubmed-6175956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61759562018-10-11 Synergy between intrinsically disordered domains and structured proteins amplifies membrane curvature sensing Zeno, Wade F. Baul, Upayan Snead, Wilton T. DeGroot, Andre C. M. Wang, Liping Lafer, Eileen M. Thirumalai, D. Stachowiak, Jeanne C. Nat Commun Article The ability of proteins to sense membrane curvature is essential to cellular function. All known sensing mechanisms rely on protein domains with specific structural features such as wedge-like amphipathic helices and crescent-shaped BAR domains. Yet many proteins that contain these domains also contain large intrinsically disordered regions. Here we report that disordered domains are themselves potent sensors of membrane curvature. Comparison of Monte Carlo simulations with in vitro and live-cell measurements demonstrates that the polymer-like behavior of disordered domains found in endocytic proteins drives them to partition preferentially to convex membrane surfaces, which place fewer geometric constraints on their conformational entropy. Further, proteins containing both structured curvature sensors and disordered regions are more than twice as curvature sensitive as their respective structured domains alone. These findings demonstrate an entropic mechanism of curvature sensing that is independent of protein structure and illustrate how structured and disordered domains can synergistically enhance curvature sensitivity. Nature Publishing Group UK 2018-10-08 /pmc/articles/PMC6175956/ /pubmed/30297718 http://dx.doi.org/10.1038/s41467-018-06532-3 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 Zeno, Wade F. Baul, Upayan Snead, Wilton T. DeGroot, Andre C. M. Wang, Liping Lafer, Eileen M. Thirumalai, D. Stachowiak, Jeanne C. Synergy between intrinsically disordered domains and structured proteins amplifies membrane curvature sensing |
title | Synergy between intrinsically disordered domains and structured proteins amplifies membrane curvature sensing |
title_full | Synergy between intrinsically disordered domains and structured proteins amplifies membrane curvature sensing |
title_fullStr | Synergy between intrinsically disordered domains and structured proteins amplifies membrane curvature sensing |
title_full_unstemmed | Synergy between intrinsically disordered domains and structured proteins amplifies membrane curvature sensing |
title_short | Synergy between intrinsically disordered domains and structured proteins amplifies membrane curvature sensing |
title_sort | synergy between intrinsically disordered domains and structured proteins amplifies membrane curvature sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175956/ https://www.ncbi.nlm.nih.gov/pubmed/30297718 http://dx.doi.org/10.1038/s41467-018-06532-3 |
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