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Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling

Proteome-wide measurements of protein turnover have largely ignored the impact of post-translational modifications (PTMs). To address this gap, we employ stable isotope labeling and mass spectrometry to measure the turnover of >120,000 peptidoforms including >33,000 phosphorylated, acetylated,...

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Autores principales: Zecha, Jana, Gabriel, Wassim, Spallek, Ria, Chang, Yun-Chien, Mergner, Julia, Wilhelm, Mathias, Bassermann, Florian, Kuster, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748498/
https://www.ncbi.nlm.nih.gov/pubmed/35013197
http://dx.doi.org/10.1038/s41467-021-27639-0
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author Zecha, Jana
Gabriel, Wassim
Spallek, Ria
Chang, Yun-Chien
Mergner, Julia
Wilhelm, Mathias
Bassermann, Florian
Kuster, Bernhard
author_facet Zecha, Jana
Gabriel, Wassim
Spallek, Ria
Chang, Yun-Chien
Mergner, Julia
Wilhelm, Mathias
Bassermann, Florian
Kuster, Bernhard
author_sort Zecha, Jana
collection PubMed
description Proteome-wide measurements of protein turnover have largely ignored the impact of post-translational modifications (PTMs). To address this gap, we employ stable isotope labeling and mass spectrometry to measure the turnover of >120,000 peptidoforms including >33,000 phosphorylated, acetylated, and ubiquitinated peptides for >9,000 native proteins. This site-resolved protein turnover (SPOT) profiling discloses global and site-specific differences in turnover associated with the presence or absence of PTMs. While causal relationships may not always be immediately apparent, we speculate that PTMs with diverging turnover may distinguish states of differential protein stability, structure, localization, enzymatic activity, or protein-protein interactions. We show examples of how the turnover data may give insights into unknown functions of PTMs and provide a freely accessible online tool that allows interrogation and visualisation of all turnover data. The SPOT methodology is applicable to many cell types and modifications, offering the potential to prioritize PTMs for future functional investigations.
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spelling pubmed-87484982022-01-20 Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling Zecha, Jana Gabriel, Wassim Spallek, Ria Chang, Yun-Chien Mergner, Julia Wilhelm, Mathias Bassermann, Florian Kuster, Bernhard Nat Commun Article Proteome-wide measurements of protein turnover have largely ignored the impact of post-translational modifications (PTMs). To address this gap, we employ stable isotope labeling and mass spectrometry to measure the turnover of >120,000 peptidoforms including >33,000 phosphorylated, acetylated, and ubiquitinated peptides for >9,000 native proteins. This site-resolved protein turnover (SPOT) profiling discloses global and site-specific differences in turnover associated with the presence or absence of PTMs. While causal relationships may not always be immediately apparent, we speculate that PTMs with diverging turnover may distinguish states of differential protein stability, structure, localization, enzymatic activity, or protein-protein interactions. We show examples of how the turnover data may give insights into unknown functions of PTMs and provide a freely accessible online tool that allows interrogation and visualisation of all turnover data. The SPOT methodology is applicable to many cell types and modifications, offering the potential to prioritize PTMs for future functional investigations. Nature Publishing Group UK 2022-01-10 /pmc/articles/PMC8748498/ /pubmed/35013197 http://dx.doi.org/10.1038/s41467-021-27639-0 Text en © The Author(s) 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
Zecha, Jana
Gabriel, Wassim
Spallek, Ria
Chang, Yun-Chien
Mergner, Julia
Wilhelm, Mathias
Bassermann, Florian
Kuster, Bernhard
Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling
title Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling
title_full Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling
title_fullStr Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling
title_full_unstemmed Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling
title_short Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling
title_sort linking post-translational modifications and protein turnover by site-resolved protein turnover profiling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748498/
https://www.ncbi.nlm.nih.gov/pubmed/35013197
http://dx.doi.org/10.1038/s41467-021-27639-0
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