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PXD012084

PXD012084 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleQuantifying Positional Isomers (QPI) by top-down mass spectrometry
DescriptionProteomics has exposed a plethora of post-translational modifications, but demonstrating functional relevance requires new approaches. Top-down proteomics can characterize co-occurring modifications in terms of localization, abundance and hierarchy. Here, we present a top-down MS analysis workflow for the discovery and quantification of proteoforms. Confident fragment assignment allows for localization of modification sites and quantification of all proteoforms, including positional isomers, as validated by investigating synthetic isoforms of ubiquitin and hyper-phosphorylated Bora.
HostingRepositoryPRIDE
AnnounceDate2023-05-14
AnnouncementXMLSubmission_2023-05-14_14:16:04.146.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterRichardScheltema
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListphosphorylated residue
InstrumentLTQ Orbitrap Elite
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-12-17 07:12:55ID requested
12021-03-18 01:54:13announced
22023-05-14 14:16:05announced2023-05-14: Updated project metadata.
Publication List
Brunner AM, L, รถ, ssl P, Geurink PP, Ovaa H, Albanese P, Altelaar AFM, Heck AJR, Scheltema RA, Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry. Mol Cell Proteomics, 20():100070(2021) [pubmed]
Keyword List
ProteomeXchange project tag: EPIC-XS
submitter keyword: Top-down mass spectrometry, positional isomers, quantitation, phosphorylation
Contact List
RichardScheltema
contact affiliationBiomolecular Mass Spectrometry and Proteomics Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences Padualaan 8 3584 CH Utrecht Utrecht University The Netherlands
contact emailr.a.scheltema@uu.nl
lab head
RichardScheltema
contact affiliationUtrecht University
contact emailr.a.scheltema@uu.nl
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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