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Quantitative fragmentomics allow affinity mapping of interactomes

Human protein networks have been widely explored but most binding affinities remain unknown, hindering quantitative interactome-function studies. Yet interactomes rely on minimal interacting fragments displaying quantifiable affinities. Here, we measure the affinities of 65,000 interactions involvin...

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Autores principales: Gogl, Gergo, Zambo, Boglarka, Kostmann, Camille, Cousido-Siah, Alexandra, Morlet, Bastien, Durbesson, Fabien, Negroni, Luc, Eberling, Pascal, Jané, Pau, Nominé, Yves, Zeke, Andras, Østergaard, Søren, Monsellier, Élodie, Vincentelli, Renaud, Travé, Gilles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482650/
https://www.ncbi.nlm.nih.gov/pubmed/36115835
http://dx.doi.org/10.1038/s41467-022-33018-0
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author Gogl, Gergo
Zambo, Boglarka
Kostmann, Camille
Cousido-Siah, Alexandra
Morlet, Bastien
Durbesson, Fabien
Negroni, Luc
Eberling, Pascal
Jané, Pau
Nominé, Yves
Zeke, Andras
Østergaard, Søren
Monsellier, Élodie
Vincentelli, Renaud
Travé, Gilles
author_facet Gogl, Gergo
Zambo, Boglarka
Kostmann, Camille
Cousido-Siah, Alexandra
Morlet, Bastien
Durbesson, Fabien
Negroni, Luc
Eberling, Pascal
Jané, Pau
Nominé, Yves
Zeke, Andras
Østergaard, Søren
Monsellier, Élodie
Vincentelli, Renaud
Travé, Gilles
author_sort Gogl, Gergo
collection PubMed
description Human protein networks have been widely explored but most binding affinities remain unknown, hindering quantitative interactome-function studies. Yet interactomes rely on minimal interacting fragments displaying quantifiable affinities. Here, we measure the affinities of 65,000 interactions involving PDZ domains and their target PDZ-binding motifs (PBM) within a human interactome region particularly relevant for viral infection and cancer. We calculate interactomic distances, identify hot spots for viral interference, generate binding profiles and specificity logos, and explain selected cases by crystallographic studies. Mass spectrometry experiments on cell extracts and literature surveys show that quantitative fragmentomics effectively complements protein interactomics by providing affinities and completeness of coverage, putting a full human interactome affinity survey within reach. Finally, we show that interactome hijacking by the viral PBM of human papillomavirus E6 oncoprotein substantially impacts the host cell proteome beyond immediate E6 binders, illustrating the complex system-wide relationship between interactome and function.
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spelling pubmed-94826502022-09-19 Quantitative fragmentomics allow affinity mapping of interactomes Gogl, Gergo Zambo, Boglarka Kostmann, Camille Cousido-Siah, Alexandra Morlet, Bastien Durbesson, Fabien Negroni, Luc Eberling, Pascal Jané, Pau Nominé, Yves Zeke, Andras Østergaard, Søren Monsellier, Élodie Vincentelli, Renaud Travé, Gilles Nat Commun Article Human protein networks have been widely explored but most binding affinities remain unknown, hindering quantitative interactome-function studies. Yet interactomes rely on minimal interacting fragments displaying quantifiable affinities. Here, we measure the affinities of 65,000 interactions involving PDZ domains and their target PDZ-binding motifs (PBM) within a human interactome region particularly relevant for viral infection and cancer. We calculate interactomic distances, identify hot spots for viral interference, generate binding profiles and specificity logos, and explain selected cases by crystallographic studies. Mass spectrometry experiments on cell extracts and literature surveys show that quantitative fragmentomics effectively complements protein interactomics by providing affinities and completeness of coverage, putting a full human interactome affinity survey within reach. Finally, we show that interactome hijacking by the viral PBM of human papillomavirus E6 oncoprotein substantially impacts the host cell proteome beyond immediate E6 binders, illustrating the complex system-wide relationship between interactome and function. Nature Publishing Group UK 2022-09-17 /pmc/articles/PMC9482650/ /pubmed/36115835 http://dx.doi.org/10.1038/s41467-022-33018-0 Text en © The Author(s) 2022, corrected publication 2022 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
Gogl, Gergo
Zambo, Boglarka
Kostmann, Camille
Cousido-Siah, Alexandra
Morlet, Bastien
Durbesson, Fabien
Negroni, Luc
Eberling, Pascal
Jané, Pau
Nominé, Yves
Zeke, Andras
Østergaard, Søren
Monsellier, Élodie
Vincentelli, Renaud
Travé, Gilles
Quantitative fragmentomics allow affinity mapping of interactomes
title Quantitative fragmentomics allow affinity mapping of interactomes
title_full Quantitative fragmentomics allow affinity mapping of interactomes
title_fullStr Quantitative fragmentomics allow affinity mapping of interactomes
title_full_unstemmed Quantitative fragmentomics allow affinity mapping of interactomes
title_short Quantitative fragmentomics allow affinity mapping of interactomes
title_sort quantitative fragmentomics allow affinity mapping of interactomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482650/
https://www.ncbi.nlm.nih.gov/pubmed/36115835
http://dx.doi.org/10.1038/s41467-022-33018-0
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