Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  DIA-based systems biology approach unveils E3 ubiquitin ligase-dependent responses to a metabolic shift

Karayel, O., Michaelis, A. C., Mann, M., Schulman, B. A., & Langlois, C. R. (2020). DIA-based systems biology approach unveils E3 ubiquitin ligase-dependent responses to a metabolic shift. Proceedings of the National Academy of Sciences of the United States of America, 202020197. doi:10.1073/pnas.2020197117.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Dateien

einblenden: Dateien
ausblenden: Dateien
:
2020197117.full.pdf (Verlagsversion), 2MB
Name:
2020197117.full.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
© 2020 the Author(s). Published by PNAS.

Externe Referenzen

einblenden:
ausblenden:
Beschreibung:
-
OA-Status:

Urheber

einblenden:
ausblenden:
 Urheber:
Karayel, Ozge1, Autor           
Michaelis, Andre C.1, Autor           
Mann, Matthias1, Autor           
Schulman, Brenda A.2, Autor           
Langlois, Christine R.2, Autor           
Affiliations:
1Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              
2Schulman, Brenda / Molecular Machines and Signaling, Max Planck Institute of Biochemistry, Max Planck Society, ou_2466699              

Inhalt

einblenden:
ausblenden:
Schlagwörter: yeast systems biology; mass spectrometry; proteomics; stress GID E3 ligase
 Zusammenfassung: The yeast Saccharomyces cerevisiae is a powerful model system for systems-wide biology screens and large-scale proteomics methods. Nearly complete proteomics coverage has been achieved owing to advances in mass spectrometry. However, it remains challenging to scale this technology for rapid and high-throughput analysis of the yeast proteome to investigate biological pathways on a global scale. Here we describe a systems biology workflow employing plate-based sample preparation and rapid, single-run, data-independent mass spectrometry analysis (DIA). Our approach is straightforward, easy to implement, and enables quantitative profiling and comparisons of hundreds of nearly complete yeast proteomes in only a few days. We evaluate its capability by characterizing changes in the yeast proteome in response to environmental perturbations, identifying distinct responses to each of them and providing a comprehensive resource of these responses. Apart from rapidly recapitulating previously observed responses, we characterized carbon source-dependent regulation of the GID E3 ligase, an important regulator of cellular metabolism during the switch between gluconeogenic and glycolytic growth conditions. This unveiled regulatory targets of the GID ligase during a metabolic switch. Our comprehensive yeast system readout pinpointed effects of a single deletion or point mutation in the GID complex on the global proteome, allowing the identification and validation of targets of the GID E3 ligase. Moreover, this approach allowed the identification of targets from multiple cellular pathways that display distinct patterns of regulation. Although developed in yeast, rapid whole-proteome–based readouts can serve as comprehensive systems-level assays in all cellular systems.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2020-12
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1073/pnas.2020197117
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Proceedings of the National Academy of Sciences of the United States of America
  Andere : PNAS
  Andere : Proceedings of the National Academy of Sciences of the USA
  Kurztitel : Proc. Natl. Acad. Sci. U. S. A.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Washington, D.C. : National Academy of Sciences
Seiten: - Band / Heft: - Artikelnummer: 202020197 Start- / Endseite: - Identifikator: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230