A high throughput approach for the generation of orthogonally interacting protein pairs

Abstract In contrast to the nearly error-free self-assembly of protein architectures in nature, artificial assembly of protein complexes with pre-defined structure and function in vitro is still challenging. To mimic nature’s strategy to construct pre-defined three-dimensional protein architectures,...

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Autores principales: Justin Lawrie, Xi Song, Wei Niu, Jiantao Guo
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/a6e8eaecf7b8478c82664f701c2535e5
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spelling oai:doaj.org-article:a6e8eaecf7b8478c82664f701c2535e52021-12-02T15:08:51ZA high throughput approach for the generation of orthogonally interacting protein pairs10.1038/s41598-018-19281-62045-2322https://doaj.org/article/a6e8eaecf7b8478c82664f701c2535e52018-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-19281-6https://doaj.org/toc/2045-2322Abstract In contrast to the nearly error-free self-assembly of protein architectures in nature, artificial assembly of protein complexes with pre-defined structure and function in vitro is still challenging. To mimic nature’s strategy to construct pre-defined three-dimensional protein architectures, highly specific protein-protein interacting pairs are needed. Here we report an effort to create an orthogonally interacting protein pair from its parental pair using a bacteria-based in vivo directed evolution strategy. This high throughput approach features a combination of a negative and a positive selection. The newly developed negative selection from this work was used to remove any protein mutants that retain effective interaction with their parents. The positive selection was used to identify mutant pairs that can engage in effective mutual interaction. By using the cohesin-dockerin protein pair that is responsible for the self-assembly of cellulosome as a model system, we demonstrated that a protein pair that is orthogonal to its parent pair could be readily generated using our strategy. This approach could open new avenues to a wide range of protein-based assembly, such as biocatalysis or nanomaterials, with pre-determined architecture and potentially novel functions and properties.Justin LawrieXi SongWei NiuJiantao GuoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Justin Lawrie
Xi Song
Wei Niu
Jiantao Guo
A high throughput approach for the generation of orthogonally interacting protein pairs
description Abstract In contrast to the nearly error-free self-assembly of protein architectures in nature, artificial assembly of protein complexes with pre-defined structure and function in vitro is still challenging. To mimic nature’s strategy to construct pre-defined three-dimensional protein architectures, highly specific protein-protein interacting pairs are needed. Here we report an effort to create an orthogonally interacting protein pair from its parental pair using a bacteria-based in vivo directed evolution strategy. This high throughput approach features a combination of a negative and a positive selection. The newly developed negative selection from this work was used to remove any protein mutants that retain effective interaction with their parents. The positive selection was used to identify mutant pairs that can engage in effective mutual interaction. By using the cohesin-dockerin protein pair that is responsible for the self-assembly of cellulosome as a model system, we demonstrated that a protein pair that is orthogonal to its parent pair could be readily generated using our strategy. This approach could open new avenues to a wide range of protein-based assembly, such as biocatalysis or nanomaterials, with pre-determined architecture and potentially novel functions and properties.
format article
author Justin Lawrie
Xi Song
Wei Niu
Jiantao Guo
author_facet Justin Lawrie
Xi Song
Wei Niu
Jiantao Guo
author_sort Justin Lawrie
title A high throughput approach for the generation of orthogonally interacting protein pairs
title_short A high throughput approach for the generation of orthogonally interacting protein pairs
title_full A high throughput approach for the generation of orthogonally interacting protein pairs
title_fullStr A high throughput approach for the generation of orthogonally interacting protein pairs
title_full_unstemmed A high throughput approach for the generation of orthogonally interacting protein pairs
title_sort high throughput approach for the generation of orthogonally interacting protein pairs
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/a6e8eaecf7b8478c82664f701c2535e5
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