TY - JOUR
T1 - Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling
AU - Zecha, Jana
AU - Gabriel, Wassim
AU - Spallek, Ria
AU - Chang, Yun-Chien
AU - Mergner, Julia
AU - Wilhelm, Mathias
AU - Bassermann, Florian
AU - Kuster, Bernhard
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/1/10
Y1 - 2022/1/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85122864954&partnerID=8YFLogxK
U2 - 10.1038/s41467-021-27639-0
DO - 10.1038/s41467-021-27639-0
M3 - Article
C2 - 35013197
AN - SCOPUS:85122864954
SN - 2041-1723
VL - 13
JO - Nature Communications
JF - Nature Communications
M1 - 165
ER -