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Dynamic organellar mapping in yeast reveals extensive protein localization changes during ER stress

Sophisticated techniques are available for systematic studies of yeast cell biology. However, it remains challenging to investigate protein subcellular localization changes on a proteome-wide scale. Here, we apply Dynamic Organellar Mapping by label-free mass spectrometry to detect localization chan...

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Hauptverfasser: Platzek, Anna (VerfasserIn) , Odehnalová, Klára (VerfasserIn) , Schessner, Julia P. (VerfasserIn) , Borner, Georg (VerfasserIn) , Schuck, Sebastian (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 02 December 2025
In: Nature Communications
Year: 2025, Jahrgang: 16, Pages: 1-21
ISSN:2041-1723
DOI:10.1038/s41467-025-66946-8
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41467-025-66946-8
Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41467-025-66946-8
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Verfasserangaben:Anna Platzek, Klára Odehnalová, Julia P. Schessner, Georg H.H. Borner & Sebastian Schuck
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Zusammenfassung:Sophisticated techniques are available for systematic studies of yeast cell biology. However, it remains challenging to investigate protein subcellular localization changes on a proteome-wide scale. Here, we apply Dynamic Organellar Mapping by label-free mass spectrometry to detect localization changes of native, untagged proteins during endoplasmic reticulum (ER) stress. We find that hundreds of proteins shift between cellular compartments. For example, we show that numerous secretory pathway proteins accumulate in the ER, thus defining the extent and selectivity of ER retention of misfolded proteins. Furthermore, we identify candidate cargo proteins of the ER reflux pathway, determine constituents of reticulon clusters that segregate from the remainder of the ER and provide evidence for altered nuclear pore complex composition and nuclear import. These findings uncover protein relocalization as a major aspect of cellular reorganization during ER stress and establish Dynamic Organellar Maps as a powerful discovery tool in yeast.
Beschreibung:Online veröffentlicht: 02. Dezember 2025
Gesehen am 25.02.2026
Beschreibung:Online Resource
ISSN:2041-1723
DOI:10.1038/s41467-025-66946-8

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