Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ProteasomeID: quantitative mapping of proteasome interactomes and substrates for in vitro and in vivo studies

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.

INSTRUMENT(S): Orbitrap Exploris 480

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Alessandro Ori

PROVIDER: MSV000092407 | MassIVE | Tue Jul 11 23:28:00 BST 2023

SECONDARY ACCESSION(S): PXD043694

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

ProteasomeID: quantitative mapping of proteasome interactomes and substrates for in vitro and in vivo studies

Project description: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.

2023-07-11 | MSV000092396 | MassIVE

ProteasomeID: quantitative mapping of proteasome interactomes and substrates for in vitro and in vivo studies

Project description:Proximity labeling coupled to mass spectrometry enables in situ mapping of protein-protein interactions. Here, we have developed a strategy based on tagging of proteasomes with promiscuous biotin ligases and a newly generated mouse model to monitor the interactome of proteasomes in vivo. We demonstrate that biotin ligases can be incorporated in fully assembled proteasomes without negative impact on proteasome activity. Analysis of proteins labeled by tagged proteasomes retrieved more than half of the known proteasome-interacting proteins in a single mass spectrometry analysis, including assembly factors, activators and ubiquitin-cycle related proteins. We optimized the protocol for processing of proximity labeled samples to minimize contamination from streptavidin and implemented Data Independent Acquisition (DIA) mass spectrometry for label-free analysis. We demonstrate the utility of our workflow by identifying novel proteasome-interacting proteins, charting interactomes across mouse organs, and showing that proximity-labeling can be used to identify both endogenous and small molecule-induced proteasome substrates.

2024-07-05 | PXD033008 | Pride

ProteasomeID: quantitative mapping of proteasome interactomes and substrates for in vitro and in vivo studies

2024-07-05 | PXD034874 | Pride

ProteasomeID: quantitative mapping of proteasome interactomes and substrates for in vitro and in vivo studies

2024-07-05 | PXD034965 | Pride

ProteasomeID: quantitative mapping of proteasome interactomes and substrates for in vitro and in vivo studies

2024-07-05 | PXD032833 | Pride

ProteasomeID: quantitative mapping of proteasome interactomes and substrates for in vitro and in vivo studies

2024-07-05 | PXD032976 | Pride

MicroID: A Novel Biotin Ligase Enables Rapid Proximity Ligation Proteomics

Project description:Identifying protein-protein interactions is central to dissecting signaling and regulatory processes in cells. BioID is a proximity ligation method that uses a promiscuous biotin ligase to detect protein-protein interactions in cells in a highly reproducible manner. Recent advancements in proximity ligation tools have improved efficiency and timing of labeling, allowing for measurement of interactions on a cellular timescale. However, issues of size, stability, and background labeling of these constructs persist. Here we modified the structure of BioID2 to create a smaller, highly active, biotin ligase that we named MicroID. Truncation of the c-terminal of BioID2 and mutations to alleviate blockage of biotin/ATP binding at the active site of BioID2 resulted in a smaller, highly active construct with lower baseline labeling. Several additional point mutations improved the function of our modified MicroID construct compared to BioID2 and other biotin ligases, including TurboID and miniTurbo. MicroID is the smallest biotin ligase (180 AA for microID vs. 257 AA for miniTurbo and 338 AA for TurboID), yet it demonstrates only slightly less labeling activity than TurboID and outperforms miniTurboID. MicroID also had lower background labeling than TurboID. For experiments where precise temporal control of labeling is essential, we developed a MicroID mutant that has lower labeling efficiency, but significantly reduced biotin scavenging compared to BioID2. Finally, we demonstrate utility of MicroID in mass spectrometry experiments by localizing MicroID constructs to subcellular organelles and measuring protein-protein interactions.

2022-08-12 | PXD031146 | Pride

The proteasome regulator PSME4 reduces the response to immunotherapy by abrogating tumor immunogenicity in NSCLC

Project description:Disruption in proteostasis is a hallmark of cancer, with aberrations in proteasome-mediated degradation highly implicated in this malignancy. Proteasomes further bear critical importance in tumor immunogenicity by regulating inflammatory signaling, promoting immune cell activation and playing a crucial role in antigen processing and presentation. Indeed, response to immunotherapy in melanoma patients has been recently linked to increased expression of immunoproteasomes, a specialized form of proteasomes that are upregulated under inflammatory conditions. Yet, the percentage of patients that respond to therapy remains low, and the underlying mechanisms driving resistance remain poorly understood. Further, comprehensive analysis of the role proteasomes play in the pathophysiology of cancer and as a modulator of anti-tumor immunity is remains lacking. Here, we show that proteasome complex composition varies across cancer types and can be used to stratify patient response to immunotherapy. Specifically, we found that the proteasome regulator PSME4 is upregulated in NSCLC and associated with poor prognosis. We show that PSME4 alters proteasome activity and antigen processing attenuating the antigenic diversity and presentation. Through exacting biochemical assays, proteasome profiling of patient-derived NSCLC samples, combined with scRNA-seq, immunopeptidomics and in vivo analyses we uncovered a novel mechanism of immune evasion mediated by PSME4, which promotes an immunosuppressive tumor microenvironment and abrogates anti-tumor immunity. Collectively, our approach may be adapted to other cancer types and pathological settings and affords a novel paradigm by which proteasome composition heterogeneity should be examined and targeted in the context of precision oncology.

2023-02-26 | GSE201460 | GEO

Lipid-anchored Proteasomes Control Membrane Protein Homeostasis

Project description:As the major protein degradation machinery of eukaryotic cells, the 26S proteasome is generally thought to localize in the nucleus and cytosol. A portion of proteasomes are known to associate with various membrane structures of the cell, the mechanism and biological meaning of which have been elusive. Here we show that N-myristoylation of the proteasome subunit Rpt2 is an evolutionarily conserved determinant of proteasome-membrane interaction. Loss of this modification leads to embryonic lethality in mice, significant reduction of migration ability in MEFs and profound changes in the membrane-associated proteome as determined by SILAC-MS, suggesting a key role of membrane-tethered proteasomes in carrying out compartmentalized protein degradation. And the tumorigenicity is reduced in the oncogene-transformed MEF without modification. Serendipitously, we found that the Rpt2-G2A mutation cell lines confers partial resistance to proteasome inhibitors, such as Bortezomib and MG132. Thus, N-myristoylation of Rpt2 determines the localization and activity of the proteasome at the membrane, which is critical for embryogenesis, cellular homeostasis and tumorigenesis.

2023-05-16 | GSE232308 | GEO

Comparative global transcriptomic profiling of low and high concentration of lactacystin-mediated neuronal death

Project description:Inhibition of proteasome degradation pathway has been implicated in neuronal cell death leading to neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. Pharmacological proteasomal inhibitors such as lactacystin can induce apoptosis in cultured mouse cortical neurons through the activation of caspase-3. However, Meiners et al., 2003 suggested that low dose of lactacystin induces a concerted expression of proteasome genes and de novo formation of proteasomes.

2013-12-31 | GSE23155 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data