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PXD056902

PXD056902 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMultiplexed phosphoproteomics of low cell numbers using SPARCE
DescriptionUnderstanding cellular diversity and disease mechanisms requires global analysis of proteins and their modifications. Ultrasensitive mass spectrometry-based proteomics enables unbiased protein-level analysis of low cell numbers, down to single cells. However, phosphoproteomics remains limited to high-input samples due to sample losses and poor reaction efficiencies associated with processing low cell numbers. In this study, we have used isobaric stable isotope labelling as a promising approach for reproducible and accurate quantification of low abundant phosphopeptides. Here, we introduce SPARCE (Streamlined Phosphoproteomic Analysis of Rare CElls) for multiplexed phosphoproteomic analysis of low cell numbers. SPARCE outperforms traditional methods by enhancing labelling efficiency and phosphoproteome coverage. To demonstrate the utility of SPARCE, we analysed four patient-derived glioblastoma stem cell lines, reliably quantifying phosphosite changes from 1,000 FACS-sorted cells. This workflow expands the possibilities for signalling analysis of rare cell populations.
HostingRepositoryPRIDE
AnnounceDate2025-04-01
AnnouncementXMLSubmission_2025-04-01_09:44:12.012.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterSilvia Surinova
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListphosphorylated residue
InstrumentOrbitrap Exploris 480; Q Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-10-17 05:04:24ID requested
12025-04-01 09:44:12announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: TMT,Glioblastoma, Phospho, Low-input
Contact List
Silvia Surinova
contact affiliationTeam Lead in Proteomics Head of the Proteomics Research Translational Technology Platform UCL Cancer Institute, Paul O’Gorman Building 72 Huntley Street, London, WC1E 6DD, UK
contact emails.surinova@ucl.ac.uk
lab head
Silvia Surinova
contact affiliationUCL
contact emails.surinova@ucl.ac.uk
dataset submitter
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Dataset FTP location
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