PXD051272 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | TurboID proximity labelling with protein TRIM52: Identification of biotinylated proteins through pull-down and label-free quantification |
Description | All constructs were expressed in RKO cells (human rectal carcinoma cell line). A fusion construct of TurboID (mutated BirA* from E. Coli) and green fluorescent protein (GFP) or human TRIM52. Cells were stimulated with Epoxomicin (proteasome inhibitor) or left untreated. Biotinylated proteins were extracted from the cell lysate through pull-down and quantified using label-free MS to identify the proteins in close proximity to TRIM52 using GFP as a specificity control. |
HostingRepository | PRIDE |
AnnounceDate | 2025-03-25 |
AnnouncementXML | Submission_2025-03-25_06:17:58.703.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | WeiQiang Chen |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | phosphorylated residue |
Instrument | Orbitrap Exploris 480 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-04-08 05:39:23 | ID requested | |
⏵ 1 | 2025-03-25 06:17:59 | announced | |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: TRIM52, proximity labelling,TurboID |
Contact List
Gijs Versteeg |
contact affiliation | Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030, Vienna, Austria. |
contact email | gijs.versteeg@univie.ac.at |
lab head | |
WeiQiang Chen |
contact affiliation | Mass Spectrometry Facility, Max Perutz Laboratories Support GmbH |
contact email | chenweiqiang@gmail.com |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD051272
- Label: PRIDE project
- Name: TurboID proximity labelling with protein TRIM52: Identification of biotinylated proteins through pull-down and label-free quantification