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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...

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Autores principales: Hartman, Emily C., Jakobson, Christopher M., Favor, Andrew H., Lobba, Marco J., Álvarez-Benedicto, Ester, Francis, Matthew B., Tullman-Ercek, Danielle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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.
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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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