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Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells

FRET (Fluorescence Resonance Energy Transfer) measurements are commonly applied to proof protein-protein interactions. However, standard methods of live cell FRET microscopy and signal normalization only allow a principle assessment of mutual binding and are unable to deduce quantitative information...

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Autores principales: Hochreiter, Bernhard, Kunze, Markus, Moser, Bernhard, Schmid, Johannes A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547726/
https://www.ncbi.nlm.nih.gov/pubmed/31160659
http://dx.doi.org/10.1038/s41598-019-44650-0
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author Hochreiter, Bernhard
Kunze, Markus
Moser, Bernhard
Schmid, Johannes A.
author_facet Hochreiter, Bernhard
Kunze, Markus
Moser, Bernhard
Schmid, Johannes A.
author_sort Hochreiter, Bernhard
collection PubMed
description FRET (Fluorescence Resonance Energy Transfer) measurements are commonly applied to proof protein-protein interactions. However, standard methods of live cell FRET microscopy and signal normalization only allow a principle assessment of mutual binding and are unable to deduce quantitative information of the interaction. We present an evaluation and normalization procedure for 3-filter FRET measurements, which reflects the process of complex formation by plotting FRET-saturation curves. The advantage of this approach relative to traditional signal normalizations is demonstrated by mathematical simulations. Thereby, we also identify the contribution of critical parameters such as the total amount of donor and acceptor molecules and their molar ratio. When combined with a fitting procedure, this normalization facilitates the extraction of key properties of protein complexes such as the interaction stoichiometry or the apparent affinity of the binding partners. Finally, the feasibility of our method is verified by investigating three exemplary protein complexes. Altogether, our approach offers a novel method for a quantitative analysis of protein interactions by 3-filter FRET microscopy, as well as flow cytometry. To facilitate the application of this method, we created macros and routines for the programs ImageJ, R and MS-Excel, which we make publicly available.
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spelling pubmed-65477262019-06-10 Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells Hochreiter, Bernhard Kunze, Markus Moser, Bernhard Schmid, Johannes A. Sci Rep Article FRET (Fluorescence Resonance Energy Transfer) measurements are commonly applied to proof protein-protein interactions. However, standard methods of live cell FRET microscopy and signal normalization only allow a principle assessment of mutual binding and are unable to deduce quantitative information of the interaction. We present an evaluation and normalization procedure for 3-filter FRET measurements, which reflects the process of complex formation by plotting FRET-saturation curves. The advantage of this approach relative to traditional signal normalizations is demonstrated by mathematical simulations. Thereby, we also identify the contribution of critical parameters such as the total amount of donor and acceptor molecules and their molar ratio. When combined with a fitting procedure, this normalization facilitates the extraction of key properties of protein complexes such as the interaction stoichiometry or the apparent affinity of the binding partners. Finally, the feasibility of our method is verified by investigating three exemplary protein complexes. Altogether, our approach offers a novel method for a quantitative analysis of protein interactions by 3-filter FRET microscopy, as well as flow cytometry. To facilitate the application of this method, we created macros and routines for the programs ImageJ, R and MS-Excel, which we make publicly available. Nature Publishing Group UK 2019-06-03 /pmc/articles/PMC6547726/ /pubmed/31160659 http://dx.doi.org/10.1038/s41598-019-44650-0 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hochreiter, Bernhard
Kunze, Markus
Moser, Bernhard
Schmid, Johannes A.
Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells
title Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells
title_full Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells
title_fullStr Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells
title_full_unstemmed Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells
title_short Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells
title_sort advanced fret normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547726/
https://www.ncbi.nlm.nih.gov/pubmed/31160659
http://dx.doi.org/10.1038/s41598-019-44650-0
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