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  Systematic analysis of protein turnover in primary cells

Mathieson, T., Franken, H., Kosinski, J., Kurzawa, N., Zinn, N., Sweetman, G., et al. (2018). Systematic analysis of protein turnover in primary cells. Nature Communications, 9: 689. doi:10.1038/s41467-018-03106-1.

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Mathieson, Toby1, Autor
Franken, Holger1, Autor
Kosinski, Jan1, Autor
Kurzawa, Nils1, Autor
Zinn, Nico1, Autor
Sweetman, Gavain1, Autor
Poeckel, Daniel1, Autor
Ratnu, Vikram S.1, Autor
Schramm, Maike1, Autor
Becher, Isabelle1, Autor
Steidel, Michael1, Autor
Noh, Kyung-Min1, Autor
Bergamini, Giovanna1, Autor
Beck, Martin2, Autor                 
Bantscheff, Marcus1, Autor
Savitski, Mikhail M.1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2European Molecular Biology Laboratory (EMBL), Heidelberg, Germany, ou_persistent22              

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Schlagwörter: Animals, Cells, Cells, Cultured, Humans, Mass Spectrometry, Mice, Peptides, Proteasome Endopeptidase Complex, Proteins, Proteomics
 Zusammenfassung: A better understanding of proteostasis in health and disease requires robust methods to determine protein half-lives. Here we improve the precision and accuracy of peptide ion intensity-based quantification, enabling more accurate protein turnover determination in non-dividing cells by dynamic SILAC-based proteomics. This approach allows exact determination of protein half-lives ranging from 10 to >1000 h. We identified 4000-6000 proteins in several non-dividing cell types, corresponding to 9699 unique protein identifications over the entire data set. We observed similar protein half-lives in B-cells, natural killer cells and monocytes, whereas hepatocytes and mouse embryonic neurons show substantial differences. Our data set extends and statistically validates the previous observation that subunits of protein complexes tend to have coherent turnover. Moreover, analysis of different proteasome and nuclear pore complex assemblies suggests that their turnover rate is architecture dependent. These results illustrate that our approach allows investigating protein turnover and its implications in various cell types.

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Sprache(n): eng - English
 Datum: 2016-10-262018-01-152018-02-15
 Publikationsstatus: Online veröffentlicht
 Seiten: 10
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/s41467-018-03106-1
BibTex Citekey: mathieson_systematic_2018
 Art des Abschluß: -

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Titel: Nature Communications
  Kurztitel : Nat. Commun.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: London : Nature Publishing Group
Seiten: - Band / Heft: 9 Artikelnummer: 689 Start- / Endseite: - Identifikator: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723