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Quantifying Protein–Protein Interactions by Molecular Counting with Mass Photometry
Interactions between biomolecules control the processes of life in health and their malfunction in disease, making their characterization and quantification essential. Immobilization‐ and label‐free analytical techniques are desirable because of their simplicity and minimal invasiveness, but they st...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318626/ https://www.ncbi.nlm.nih.gov/pubmed/32167227 http://dx.doi.org/10.1002/anie.202001578 |
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author | Soltermann, Fabian Foley, Eric D. B. Pagnoni, Veronica Galpin, Martin Benesch, Justin L. P. Kukura, Philipp Struwe, Weston B. |
author_facet | Soltermann, Fabian Foley, Eric D. B. Pagnoni, Veronica Galpin, Martin Benesch, Justin L. P. Kukura, Philipp Struwe, Weston B. |
author_sort | Soltermann, Fabian |
collection | PubMed |
description | Interactions between biomolecules control the processes of life in health and their malfunction in disease, making their characterization and quantification essential. Immobilization‐ and label‐free analytical techniques are desirable because of their simplicity and minimal invasiveness, but they struggle with quantifying tight interactions. Here, we show that mass photometry can accurately count, distinguish by molecular mass, and thereby reveal the relative abundances of different unlabelled biomolecules and their complexes in mixtures at the single‐molecule level. These measurements determine binding affinities over four orders of magnitude at equilibrium for both simple and complex stoichiometries within minutes, as well as the associated kinetics. These results introduce mass photometry as a rapid, simple and label‐free method for studying sub‐micromolar binding affinities, with potential for extension towards a universal approach for characterizing complex biomolecular interactions. |
format | Online Article Text |
id | pubmed-7318626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73186262020-06-29 Quantifying Protein–Protein Interactions by Molecular Counting with Mass Photometry Soltermann, Fabian Foley, Eric D. B. Pagnoni, Veronica Galpin, Martin Benesch, Justin L. P. Kukura, Philipp Struwe, Weston B. Angew Chem Int Ed Engl Communications Interactions between biomolecules control the processes of life in health and their malfunction in disease, making their characterization and quantification essential. Immobilization‐ and label‐free analytical techniques are desirable because of their simplicity and minimal invasiveness, but they struggle with quantifying tight interactions. Here, we show that mass photometry can accurately count, distinguish by molecular mass, and thereby reveal the relative abundances of different unlabelled biomolecules and their complexes in mixtures at the single‐molecule level. These measurements determine binding affinities over four orders of magnitude at equilibrium for both simple and complex stoichiometries within minutes, as well as the associated kinetics. These results introduce mass photometry as a rapid, simple and label‐free method for studying sub‐micromolar binding affinities, with potential for extension towards a universal approach for characterizing complex biomolecular interactions. John Wiley and Sons Inc. 2020-04-02 2020-06-26 /pmc/articles/PMC7318626/ /pubmed/32167227 http://dx.doi.org/10.1002/anie.202001578 Text en © 2020 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Communications Soltermann, Fabian Foley, Eric D. B. Pagnoni, Veronica Galpin, Martin Benesch, Justin L. P. Kukura, Philipp Struwe, Weston B. Quantifying Protein–Protein Interactions by Molecular Counting with Mass Photometry |
title | Quantifying Protein–Protein Interactions by Molecular Counting with Mass Photometry |
title_full | Quantifying Protein–Protein Interactions by Molecular Counting with Mass Photometry |
title_fullStr | Quantifying Protein–Protein Interactions by Molecular Counting with Mass Photometry |
title_full_unstemmed | Quantifying Protein–Protein Interactions by Molecular Counting with Mass Photometry |
title_short | Quantifying Protein–Protein Interactions by Molecular Counting with Mass Photometry |
title_sort | quantifying protein–protein interactions by molecular counting with mass photometry |
topic | Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318626/ https://www.ncbi.nlm.nih.gov/pubmed/32167227 http://dx.doi.org/10.1002/anie.202001578 |
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