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Mechanism-Based Strategy for Optimizing HaloTag Protein Labeling
[Image: see text] HaloTag labeling technology has introduced unrivaled potential in protein chemistry and molecular and cellular biology. A wide variety of ligands have been developed to meet the specific needs of diverse applications, but only a single protein tag, DhaAHT, is routinely used for the...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9241015/ https://www.ncbi.nlm.nih.gov/pubmed/35783171 http://dx.doi.org/10.1021/jacsau.2c00002 |
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author | Marques, Sérgio M. Slanska, Michaela Chmelova, Klaudia Chaloupkova, Radka Marek, Martin Clark, Spencer Damborsky, Jiri Kool, Eric T. Bednar, David Prokop, Zbynek |
author_facet | Marques, Sérgio M. Slanska, Michaela Chmelova, Klaudia Chaloupkova, Radka Marek, Martin Clark, Spencer Damborsky, Jiri Kool, Eric T. Bednar, David Prokop, Zbynek |
author_sort | Marques, Sérgio M. |
collection | PubMed |
description | [Image: see text] HaloTag labeling technology has introduced unrivaled potential in protein chemistry and molecular and cellular biology. A wide variety of ligands have been developed to meet the specific needs of diverse applications, but only a single protein tag, DhaAHT, is routinely used for their incorporation. Following a systematic kinetic and computational analysis of different reporters, a tetramethylrhodamine- and three 4-stilbazolium-based fluorescent ligands, we showed that the mechanism of incorporating different ligands depends both on the binding step and the efficiency of the chemical reaction. By studying the different haloalkane dehalogenases DhaA, LinB, and DmmA, we found that the architecture of the access tunnels is critical for the kinetics of both steps and the ligand specificity. We showed that highly efficient labeling with specific ligands is achievable with natural dehalogenases. We propose a simple protocol for selecting the optimal protein tag for a specific ligand from the wide pool of available enzymes with diverse access tunnel architectures. The application of this protocol eliminates the need for expensive and laborious protein engineering. |
format | Online Article Text |
id | pubmed-9241015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-92410152022-06-30 Mechanism-Based Strategy for Optimizing HaloTag Protein Labeling Marques, Sérgio M. Slanska, Michaela Chmelova, Klaudia Chaloupkova, Radka Marek, Martin Clark, Spencer Damborsky, Jiri Kool, Eric T. Bednar, David Prokop, Zbynek JACS Au [Image: see text] HaloTag labeling technology has introduced unrivaled potential in protein chemistry and molecular and cellular biology. A wide variety of ligands have been developed to meet the specific needs of diverse applications, but only a single protein tag, DhaAHT, is routinely used for their incorporation. Following a systematic kinetic and computational analysis of different reporters, a tetramethylrhodamine- and three 4-stilbazolium-based fluorescent ligands, we showed that the mechanism of incorporating different ligands depends both on the binding step and the efficiency of the chemical reaction. By studying the different haloalkane dehalogenases DhaA, LinB, and DmmA, we found that the architecture of the access tunnels is critical for the kinetics of both steps and the ligand specificity. We showed that highly efficient labeling with specific ligands is achievable with natural dehalogenases. We propose a simple protocol for selecting the optimal protein tag for a specific ligand from the wide pool of available enzymes with diverse access tunnel architectures. The application of this protocol eliminates the need for expensive and laborious protein engineering. American Chemical Society 2022-05-18 /pmc/articles/PMC9241015/ /pubmed/35783171 http://dx.doi.org/10.1021/jacsau.2c00002 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Marques, Sérgio M. Slanska, Michaela Chmelova, Klaudia Chaloupkova, Radka Marek, Martin Clark, Spencer Damborsky, Jiri Kool, Eric T. Bednar, David Prokop, Zbynek Mechanism-Based Strategy for Optimizing HaloTag Protein Labeling |
title | Mechanism-Based Strategy for Optimizing HaloTag Protein
Labeling |
title_full | Mechanism-Based Strategy for Optimizing HaloTag Protein
Labeling |
title_fullStr | Mechanism-Based Strategy for Optimizing HaloTag Protein
Labeling |
title_full_unstemmed | Mechanism-Based Strategy for Optimizing HaloTag Protein
Labeling |
title_short | Mechanism-Based Strategy for Optimizing HaloTag Protein
Labeling |
title_sort | mechanism-based strategy for optimizing halotag protein
labeling |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9241015/ https://www.ncbi.nlm.nih.gov/pubmed/35783171 http://dx.doi.org/10.1021/jacsau.2c00002 |
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