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Characterization of conformational heterogeneity via higher-dimensionality, proton-detected solid-state NMR
Site-specific heterogeneity of solid protein samples can be exploited as valuable information to answer biological questions ranging from thermodynamic properties determining fibril formation to protein folding and conformational stability upon stress. In particular, for proteins of increasing molec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712413/ https://www.ncbi.nlm.nih.gov/pubmed/36149571 http://dx.doi.org/10.1007/s10858-022-00405-0 |
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author | Burakova, Ekaterina Vasa, Suresh K. Linser, Rasmus |
author_facet | Burakova, Ekaterina Vasa, Suresh K. Linser, Rasmus |
author_sort | Burakova, Ekaterina |
collection | PubMed |
description | Site-specific heterogeneity of solid protein samples can be exploited as valuable information to answer biological questions ranging from thermodynamic properties determining fibril formation to protein folding and conformational stability upon stress. In particular, for proteins of increasing molecular weight, however, site-resolved assessment without residue-specific labeling is challenging using established methodology, which tends to rely on carbon-detected 2D correlations. Here we develop purely chemical-shift-based approaches for assessment of relative conformational heterogeneity that allows identification of each residue via four chemical-shift dimensions. High dimensionality diminishes the probability of peak overlap in the presence of multiple, heterogeneously broadened resonances. Utilizing backbone dihedral-angle reconstruction from individual contributions to the peak shape either via suitably adapted prediction routines or direct association with a relational database, the methods may in future studies afford assessment of site-specific heterogeneity of proteins without site-specific labeling. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10858-022-00405-0. |
format | Online Article Text |
id | pubmed-9712413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-97124132022-12-02 Characterization of conformational heterogeneity via higher-dimensionality, proton-detected solid-state NMR Burakova, Ekaterina Vasa, Suresh K. Linser, Rasmus J Biomol NMR Article Site-specific heterogeneity of solid protein samples can be exploited as valuable information to answer biological questions ranging from thermodynamic properties determining fibril formation to protein folding and conformational stability upon stress. In particular, for proteins of increasing molecular weight, however, site-resolved assessment without residue-specific labeling is challenging using established methodology, which tends to rely on carbon-detected 2D correlations. Here we develop purely chemical-shift-based approaches for assessment of relative conformational heterogeneity that allows identification of each residue via four chemical-shift dimensions. High dimensionality diminishes the probability of peak overlap in the presence of multiple, heterogeneously broadened resonances. Utilizing backbone dihedral-angle reconstruction from individual contributions to the peak shape either via suitably adapted prediction routines or direct association with a relational database, the methods may in future studies afford assessment of site-specific heterogeneity of proteins without site-specific labeling. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10858-022-00405-0. Springer Netherlands 2022-09-23 2022 /pmc/articles/PMC9712413/ /pubmed/36149571 http://dx.doi.org/10.1007/s10858-022-00405-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Burakova, Ekaterina Vasa, Suresh K. Linser, Rasmus Characterization of conformational heterogeneity via higher-dimensionality, proton-detected solid-state NMR |
title | Characterization of conformational heterogeneity via higher-dimensionality, proton-detected solid-state NMR |
title_full | Characterization of conformational heterogeneity via higher-dimensionality, proton-detected solid-state NMR |
title_fullStr | Characterization of conformational heterogeneity via higher-dimensionality, proton-detected solid-state NMR |
title_full_unstemmed | Characterization of conformational heterogeneity via higher-dimensionality, proton-detected solid-state NMR |
title_short | Characterization of conformational heterogeneity via higher-dimensionality, proton-detected solid-state NMR |
title_sort | characterization of conformational heterogeneity via higher-dimensionality, proton-detected solid-state nmr |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712413/ https://www.ncbi.nlm.nih.gov/pubmed/36149571 http://dx.doi.org/10.1007/s10858-022-00405-0 |
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