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Quantitative Mapping of Proteasome Interactomes and Substrates Using ProteasomeID

Overview
Journal Elife
Specialty Biology
Date 2024 Sep 4
PMID 39230574
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Abstract

Proteasomes are essential molecular machines responsible for the degradation of proteins in eukaryotic cells. Altered proteasome activity has been linked to neurodegeneration, auto-immune disorders and cancer. Despite the relevance for human disease and drug development, no method currently exists to monitor proteasome composition and interactions in vivo in animal models. To fill this gap, we developed a strategy based on tagging of proteasomes with promiscuous biotin ligases and generated a new mouse model enabling the quantification of proteasome interactions by mass spectrometry. We show that biotin ligases can be incorporated in fully assembled proteasomes without negative impact on their activity. We demonstrate the utility of our method by identifying novel proteasome-interacting proteins, charting interactomes across mouse organs, and showing that proximity-labeling enables the identification of both endogenous and small-molecule-induced proteasome substrates.

Citing Articles

Optimized Automated Workflow for BioID Improves Reproducibility and Identification of Protein-Protein Interactions.

Cirri E, Knaudt H, Di Fraia D, Pompner N, Rahnis N, Heinze I J Proteome Res. 2024; 23(10):4359-4368.

PMID: 39231529 PMC: 11460324. DOI: 10.1021/acs.jproteome.4c00308.


Quantitative mapping of proteasome interactomes and substrates using ProteasomeID.

Bartolome A, Heiby J, Di Fraia D, Heinze I, Knaudt H, Spaeth E Elife. 2024; 13.

PMID: 39230574 PMC: 11374303. DOI: 10.7554/eLife.93256.

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