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A method for Boolean analysis of protein interactions at a molecular level
Determining the levels of protein–protein interactions is essential for the analysis of signaling within the cell, characterization of mutation effects, protein function and activation in health and disease, among others. Herein, we describe MolBoolean – a method to detect interactions between endog...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375095/ https://www.ncbi.nlm.nih.gov/pubmed/35963857 http://dx.doi.org/10.1038/s41467-022-32395-w |
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author | Raykova, Doroteya Kermpatsou, Despoina Malmqvist, Tony Harrison, Philip J. Sander, Marie Rubin Stiller, Christiane Heldin, Johan Leino, Mattias Ricardo, Sara Klemm, Anna David, Leonor Spjuth, Ola Vemuri, Kalyani Dimberg, Anna Sundqvist, Anders Norlin, Maria Klaesson, Axel Kampf, Caroline Söderberg, Ola |
author_facet | Raykova, Doroteya Kermpatsou, Despoina Malmqvist, Tony Harrison, Philip J. Sander, Marie Rubin Stiller, Christiane Heldin, Johan Leino, Mattias Ricardo, Sara Klemm, Anna David, Leonor Spjuth, Ola Vemuri, Kalyani Dimberg, Anna Sundqvist, Anders Norlin, Maria Klaesson, Axel Kampf, Caroline Söderberg, Ola |
author_sort | Raykova, Doroteya |
collection | PubMed |
description | Determining the levels of protein–protein interactions is essential for the analysis of signaling within the cell, characterization of mutation effects, protein function and activation in health and disease, among others. Herein, we describe MolBoolean – a method to detect interactions between endogenous proteins in various subcellular compartments, utilizing antibody-DNA conjugates for identification and signal amplification. In contrast to proximity ligation assays, MolBoolean simultaneously indicates the relative abundances of protein A and B not interacting with each other, as well as the pool of A and B proteins that are proximal enough to be considered an AB complex. MolBoolean is applicable both in fixed cells and tissue sections. The specific and quantifiable data that the method generates provide opportunities for both diagnostic use and medical research. |
format | Online Article Text |
id | pubmed-9375095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93750952022-08-15 A method for Boolean analysis of protein interactions at a molecular level Raykova, Doroteya Kermpatsou, Despoina Malmqvist, Tony Harrison, Philip J. Sander, Marie Rubin Stiller, Christiane Heldin, Johan Leino, Mattias Ricardo, Sara Klemm, Anna David, Leonor Spjuth, Ola Vemuri, Kalyani Dimberg, Anna Sundqvist, Anders Norlin, Maria Klaesson, Axel Kampf, Caroline Söderberg, Ola Nat Commun Article Determining the levels of protein–protein interactions is essential for the analysis of signaling within the cell, characterization of mutation effects, protein function and activation in health and disease, among others. Herein, we describe MolBoolean – a method to detect interactions between endogenous proteins in various subcellular compartments, utilizing antibody-DNA conjugates for identification and signal amplification. In contrast to proximity ligation assays, MolBoolean simultaneously indicates the relative abundances of protein A and B not interacting with each other, as well as the pool of A and B proteins that are proximal enough to be considered an AB complex. MolBoolean is applicable both in fixed cells and tissue sections. The specific and quantifiable data that the method generates provide opportunities for both diagnostic use and medical research. Nature Publishing Group UK 2022-08-13 /pmc/articles/PMC9375095/ /pubmed/35963857 http://dx.doi.org/10.1038/s41467-022-32395-w Text en © The Author(s) 2022, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Raykova, Doroteya Kermpatsou, Despoina Malmqvist, Tony Harrison, Philip J. Sander, Marie Rubin Stiller, Christiane Heldin, Johan Leino, Mattias Ricardo, Sara Klemm, Anna David, Leonor Spjuth, Ola Vemuri, Kalyani Dimberg, Anna Sundqvist, Anders Norlin, Maria Klaesson, Axel Kampf, Caroline Söderberg, Ola A method for Boolean analysis of protein interactions at a molecular level |
title | A method for Boolean analysis of protein interactions at a molecular level |
title_full | A method for Boolean analysis of protein interactions at a molecular level |
title_fullStr | A method for Boolean analysis of protein interactions at a molecular level |
title_full_unstemmed | A method for Boolean analysis of protein interactions at a molecular level |
title_short | A method for Boolean analysis of protein interactions at a molecular level |
title_sort | method for boolean analysis of protein interactions at a molecular level |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375095/ https://www.ncbi.nlm.nih.gov/pubmed/35963857 http://dx.doi.org/10.1038/s41467-022-32395-w |
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