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A novel framework for engineering protein loops exploring length and compositional variation
Insertions and deletions (indels) are known to affect function, biophysical properties and substrate specificity of enzymes, and they play a central role in evolution. Despite such clear significance, this class of mutation remains an underexploited tool in protein engineering with few available pla...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080606/ https://www.ncbi.nlm.nih.gov/pubmed/33911147 http://dx.doi.org/10.1038/s41598-021-88708-4 |
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author | Tizei, Pedro A. G. Harris, Emma Withanage, Shamal Renders, Marleen Pinheiro, Vitor B. |
author_facet | Tizei, Pedro A. G. Harris, Emma Withanage, Shamal Renders, Marleen Pinheiro, Vitor B. |
author_sort | Tizei, Pedro A. G. |
collection | PubMed |
description | Insertions and deletions (indels) are known to affect function, biophysical properties and substrate specificity of enzymes, and they play a central role in evolution. Despite such clear significance, this class of mutation remains an underexploited tool in protein engineering with few available platforms capable of systematically generating and analysing libraries of varying sequence composition and length. We present a novel DNA assembly platform (InDel assembly), based on cycles of endonuclease restriction digestion and ligation of standardised dsDNA building blocks, that can generate libraries exploring both composition and sequence length variation. In addition, we developed a framework to analyse the output of selection from InDel-generated libraries, combining next generation sequencing and alignment-free strategies for sequence analysis. We demonstrate the approach by engineering the well-characterized TEM-1 β-lactamase Ω-loop, involved in substrate specificity, identifying multiple novel extended spectrum β-lactamases with loops of modified length and composition—areas of the sequence space not previously explored. Together, the InDel assembly and analysis platforms provide an efficient route to engineer protein loops or linkers where sequence length and composition are both essential functional parameters. |
format | Online Article Text |
id | pubmed-8080606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80806062021-04-30 A novel framework for engineering protein loops exploring length and compositional variation Tizei, Pedro A. G. Harris, Emma Withanage, Shamal Renders, Marleen Pinheiro, Vitor B. Sci Rep Article Insertions and deletions (indels) are known to affect function, biophysical properties and substrate specificity of enzymes, and they play a central role in evolution. Despite such clear significance, this class of mutation remains an underexploited tool in protein engineering with few available platforms capable of systematically generating and analysing libraries of varying sequence composition and length. We present a novel DNA assembly platform (InDel assembly), based on cycles of endonuclease restriction digestion and ligation of standardised dsDNA building blocks, that can generate libraries exploring both composition and sequence length variation. In addition, we developed a framework to analyse the output of selection from InDel-generated libraries, combining next generation sequencing and alignment-free strategies for sequence analysis. We demonstrate the approach by engineering the well-characterized TEM-1 β-lactamase Ω-loop, involved in substrate specificity, identifying multiple novel extended spectrum β-lactamases with loops of modified length and composition—areas of the sequence space not previously explored. Together, the InDel assembly and analysis platforms provide an efficient route to engineer protein loops or linkers where sequence length and composition are both essential functional parameters. Nature Publishing Group UK 2021-04-28 /pmc/articles/PMC8080606/ /pubmed/33911147 http://dx.doi.org/10.1038/s41598-021-88708-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tizei, Pedro A. G. Harris, Emma Withanage, Shamal Renders, Marleen Pinheiro, Vitor B. A novel framework for engineering protein loops exploring length and compositional variation |
title | A novel framework for engineering protein loops exploring length and compositional variation |
title_full | A novel framework for engineering protein loops exploring length and compositional variation |
title_fullStr | A novel framework for engineering protein loops exploring length and compositional variation |
title_full_unstemmed | A novel framework for engineering protein loops exploring length and compositional variation |
title_short | A novel framework for engineering protein loops exploring length and compositional variation |
title_sort | novel framework for engineering protein loops exploring length and compositional variation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080606/ https://www.ncbi.nlm.nih.gov/pubmed/33911147 http://dx.doi.org/10.1038/s41598-021-88708-4 |
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