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Quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle
Self-assembling proteins are critical to biological systems and industrial technologies, but predicting how mutations affect self-assembly remains a significant challenge. Here, we report a technique, termed SyMAPS (Systematic Mutation and Assembled Particle Selection), that can be used to character...
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/PMC5895741/ https://www.ncbi.nlm.nih.gov/pubmed/29643335 http://dx.doi.org/10.1038/s41467-018-03783-y |
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author | Hartman, Emily C. Jakobson, Christopher M. Favor, Andrew H. Lobba, Marco J. Álvarez-Benedicto, Ester Francis, Matthew B. Tullman-Ercek, Danielle |
author_facet | Hartman, Emily C. Jakobson, Christopher M. Favor, Andrew H. Lobba, Marco J. Álvarez-Benedicto, Ester Francis, Matthew B. Tullman-Ercek, Danielle |
author_sort | Hartman, Emily C. |
collection | PubMed |
description | Self-assembling proteins are critical to biological systems and industrial technologies, but predicting how mutations affect self-assembly remains a significant challenge. Here, we report a technique, termed SyMAPS (Systematic Mutation and Assembled Particle Selection), that can be used to characterize the assembly competency of all single amino acid variants of a self-assembling viral structural protein. SyMAPS studies on the MS2 bacteriophage coat protein revealed a high-resolution fitness landscape that challenges some conventional assumptions of protein engineering. An additional round of selection identified a previously unknown variant (CP[T71H]) that is stable at neutral pH but less tolerant to acidic conditions than the wild-type coat protein. The capsids formed by this variant could be more amenable to disassembly in late endosomes or early lysosomes—a feature that is advantageous for delivery applications. In addition to providing a mutability blueprint for virus-like particles, SyMAPS can be readily applied to other self-assembling proteins. |
format | Online Article Text |
id | pubmed-5895741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58957412018-04-13 Quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle Hartman, Emily C. Jakobson, Christopher M. Favor, Andrew H. Lobba, Marco J. Álvarez-Benedicto, Ester Francis, Matthew B. Tullman-Ercek, Danielle Nat Commun Article Self-assembling proteins are critical to biological systems and industrial technologies, but predicting how mutations affect self-assembly remains a significant challenge. Here, we report a technique, termed SyMAPS (Systematic Mutation and Assembled Particle Selection), that can be used to characterize the assembly competency of all single amino acid variants of a self-assembling viral structural protein. SyMAPS studies on the MS2 bacteriophage coat protein revealed a high-resolution fitness landscape that challenges some conventional assumptions of protein engineering. An additional round of selection identified a previously unknown variant (CP[T71H]) that is stable at neutral pH but less tolerant to acidic conditions than the wild-type coat protein. The capsids formed by this variant could be more amenable to disassembly in late endosomes or early lysosomes—a feature that is advantageous for delivery applications. In addition to providing a mutability blueprint for virus-like particles, SyMAPS can be readily applied to other self-assembling proteins. Nature Publishing Group UK 2018-04-11 /pmc/articles/PMC5895741/ /pubmed/29643335 http://dx.doi.org/10.1038/s41467-018-03783-y 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 Hartman, Emily C. Jakobson, Christopher M. Favor, Andrew H. Lobba, Marco J. Álvarez-Benedicto, Ester Francis, Matthew B. Tullman-Ercek, Danielle Quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle |
title | Quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle |
title_full | Quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle |
title_fullStr | Quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle |
title_full_unstemmed | Quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle |
title_short | Quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle |
title_sort | quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895741/ https://www.ncbi.nlm.nih.gov/pubmed/29643335 http://dx.doi.org/10.1038/s41467-018-03783-y |
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