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

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 s...

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Autores principales: Lawrie, Justin, Song, Xi, Niu, Wei, Guo, Jiantao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5772552/
https://www.ncbi.nlm.nih.gov/pubmed/29343761
http://dx.doi.org/10.1038/s41598-018-19281-6
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author Lawrie, Justin
Song, Xi
Niu, Wei
Guo, Jiantao
author_facet Lawrie, Justin
Song, Xi
Niu, Wei
Guo, Jiantao
author_sort Lawrie, Justin
collection PubMed
description 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.
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spelling pubmed-57725522018-01-26 A high throughput approach for the generation of orthogonally interacting protein pairs Lawrie, Justin Song, Xi Niu, Wei Guo, Jiantao Sci Rep Article 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. Nature Publishing Group UK 2018-01-17 /pmc/articles/PMC5772552/ /pubmed/29343761 http://dx.doi.org/10.1038/s41598-018-19281-6 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
Lawrie, Justin
Song, Xi
Niu, Wei
Guo, Jiantao
A high throughput approach for the generation of orthogonally interacting protein pairs
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5772552/
https://www.ncbi.nlm.nih.gov/pubmed/29343761
http://dx.doi.org/10.1038/s41598-018-19281-6
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