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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...
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/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. |
format | Online Article Text |
id | pubmed-9482650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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