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Exploiting sequence and stability information for directing nanobody stability engineering
BACKGROUND: Variable domains of camelid heavy-chain antibodies, commonly named nanobodies, have high biotechnological potential. In view of their broad range of applications in research, diagnostics and therapy, engineering their stability is of particular interest. One important aspect is the impro...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548252/ https://www.ncbi.nlm.nih.gov/pubmed/28642127 http://dx.doi.org/10.1016/j.bbagen.2017.06.014 |
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author | Kunz, Patrick Flock, Tilman Soler, Nicolas Zaiss, Moritz Vincke, Cécile Sterckx, Yann Kastelic, Damjana Muyldermans, Serge Hoheisel, Jörg D. |
author_facet | Kunz, Patrick Flock, Tilman Soler, Nicolas Zaiss, Moritz Vincke, Cécile Sterckx, Yann Kastelic, Damjana Muyldermans, Serge Hoheisel, Jörg D. |
author_sort | Kunz, Patrick |
collection | PubMed |
description | BACKGROUND: Variable domains of camelid heavy-chain antibodies, commonly named nanobodies, have high biotechnological potential. In view of their broad range of applications in research, diagnostics and therapy, engineering their stability is of particular interest. One important aspect is the improvement of thermostability, because it can have immediate effects on conformational stability, protease resistance and aggregation propensity of the protein. METHODS: We analyzed the sequences and thermostabilities of 78 purified nanobody binders. From this data, potentially stabilizing amino acid variations were identified and studied experimentally. RESULTS: Some mutations improved the stability of nanobodies by up to 6.1 °C, with an average of 2.3 °C across eight modified nanobodies. The stabilizing mechanism involves an improvement of both conformational stability and aggregation behavior, explaining the variable degree of stabilization in individual molecules. In some instances, variations predicted to be stabilizing actually led to thermal destabilization of the proteins. The reasons for this contradiction between prediction and experiment were investigated. CONCLUSIONS: The results reveal a mutational strategy to improve the biophysical behavior of nanobody binders and indicate a species-specificity of nanobody architecture. GENERAL SIGNIFICANCE: This study illustrates the potential and limitations of engineering nanobody thermostability by merging sequence information with stability data, an aspect that is becoming increasingly important with the recent development of high-throughput biophysical methods. |
format | Online Article Text |
id | pubmed-5548252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-55482522017-09-01 Exploiting sequence and stability information for directing nanobody stability engineering Kunz, Patrick Flock, Tilman Soler, Nicolas Zaiss, Moritz Vincke, Cécile Sterckx, Yann Kastelic, Damjana Muyldermans, Serge Hoheisel, Jörg D. Biochim Biophys Acta Article BACKGROUND: Variable domains of camelid heavy-chain antibodies, commonly named nanobodies, have high biotechnological potential. In view of their broad range of applications in research, diagnostics and therapy, engineering their stability is of particular interest. One important aspect is the improvement of thermostability, because it can have immediate effects on conformational stability, protease resistance and aggregation propensity of the protein. METHODS: We analyzed the sequences and thermostabilities of 78 purified nanobody binders. From this data, potentially stabilizing amino acid variations were identified and studied experimentally. RESULTS: Some mutations improved the stability of nanobodies by up to 6.1 °C, with an average of 2.3 °C across eight modified nanobodies. The stabilizing mechanism involves an improvement of both conformational stability and aggregation behavior, explaining the variable degree of stabilization in individual molecules. In some instances, variations predicted to be stabilizing actually led to thermal destabilization of the proteins. The reasons for this contradiction between prediction and experiment were investigated. CONCLUSIONS: The results reveal a mutational strategy to improve the biophysical behavior of nanobody binders and indicate a species-specificity of nanobody architecture. GENERAL SIGNIFICANCE: This study illustrates the potential and limitations of engineering nanobody thermostability by merging sequence information with stability data, an aspect that is becoming increasingly important with the recent development of high-throughput biophysical methods. 2017-06-20 2017-09 /pmc/articles/PMC5548252/ /pubmed/28642127 http://dx.doi.org/10.1016/j.bbagen.2017.06.014 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Kunz, Patrick Flock, Tilman Soler, Nicolas Zaiss, Moritz Vincke, Cécile Sterckx, Yann Kastelic, Damjana Muyldermans, Serge Hoheisel, Jörg D. Exploiting sequence and stability information for directing nanobody stability engineering |
title | Exploiting sequence and stability information for directing nanobody stability engineering |
title_full | Exploiting sequence and stability information for directing nanobody stability engineering |
title_fullStr | Exploiting sequence and stability information for directing nanobody stability engineering |
title_full_unstemmed | Exploiting sequence and stability information for directing nanobody stability engineering |
title_short | Exploiting sequence and stability information for directing nanobody stability engineering |
title_sort | exploiting sequence and stability information for directing nanobody stability engineering |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548252/ https://www.ncbi.nlm.nih.gov/pubmed/28642127 http://dx.doi.org/10.1016/j.bbagen.2017.06.014 |
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