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PXD043667

PXD043667 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteasomeID: quantitative mapping of proteasome interactomes and substrates for in vitro and in vivo studies
DescriptionProteasomes 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.
HostingRepositoryMassIVE
AnnounceDate2024-07-05
AnnouncementXMLSubmission_2024-07-05_13:51:22.660.xml
DigitalObjectIdentifier
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterLeibniz FLI Proteomics
SpeciesList scientific name: Mus musculus; common name: house mouse; NCBI TaxID: 10090;
ModificationListCarbamidomethyl; Oxidation
InstrumentOrbitrap Exploris 480
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-07-11 00:32:10ID requested
12024-07-05 13:51:23announced
Publication List
no publication
Keyword List
submitter keyword: proteasome, BioID, mass spectrometry, protein degradation, proximity labeling, mouse model
Contact List
Alessandro Ori
contact affiliationLeibniz Institute on Aging Fritz Lipmann Institute (FLI)
contact emailalessandro.ori@leibniz-fli.de
lab head
Leibniz FLI Proteomics
contact affiliationLeibniz FLI
contact emailproteomics@leibniz-fli.de
dataset submitter
Full Dataset Link List
MassIVE dataset URI
Dataset FTP location
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