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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.
Afiliación
  • Zecha J; Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
  • Gabriel W; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Spallek R; Dynamic Omics, Centre for Genomics Research, Discovery Sciences, R&D AstraZeneca, Gaithersburg, MD, USA.
  • Chang YC; Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
  • Mergner J; Computational Mass Spectrometry, Technical University of Munich (TUM), Freising, Germany.
  • Wilhelm M; Department of Medicine III, Klinikum rechts der Isar, TUM, Munich, Germany.
  • Bassermann F; TranslaTUM, Center for Translational Cancer Research, TUM, Munich, Germany.
  • Kuster B; Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Nat Commun ; 13(1): 165, 2022 01 10.
Article en En | MEDLINE | ID: mdl-35013197
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas / Procesamiento Proteico-Postraduccional / Proteoma Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas / Procesamiento Proteico-Postraduccional / Proteoma Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Alemania