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PXD006109

PXD006109 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleBoxCar acquisition method enables single shot proteomics at a depth of 10,000 proteins in 100 minutes
DescriptionGreat advances have been made in sensitivity and acquisition speed on the Orbitrap mass analyzer, enabling increasingly deep proteome coverage. However, these advances have been mainly limited to the MS2 level whereas ion beam sampling for the full MS scan remains extremely inefficient. Here we report a data novel acquisition method, termed BoxCar, in which filling multiple narrow mass-to-charge segments increases the mean ion injection time more than ten-fold compared to a standard full scan. In 1 hour analyses, the method provided MS1 evidence for more than 90% of the proteome of a human cancer cell line that had previously been identified in 24 fractions, and quantified more than 6,200 proteins in ten of ten replicates. In mouse brain tissue, we achieved broad proteome coveragedetected more than 10,000 proteins in only 100 min and sensitivity extended into the low attomol range.
HostingRepositoryPRIDE
AnnounceDate2024-10-22
AnnouncementXMLSubmission_2024-10-22_04:04:45.247.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMario Oroshi
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; scientific name: Escherichia coli; NCBI TaxID: 562; scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02017-03-17 05:19:31ID requested
12018-05-02 01:12:36announced
22018-05-09 09:24:09announcedUpdated publication reference for PubMed record(s): 29735998.
32024-10-22 04:04:53announced2024-10-22: Updated project metadata.
Publication List
10.1038/s41592-018-0003-5;
Meier F, Geyer PE, Virreira Winter S, Cox J, Mann M, BoxCar acquisition method enables single-shot proteomics at a depth of 10,000 proteins in 100 minutes. Nat Methods, 15(6):440-448(2018) [pubmed]
Keyword List
ProteomeXchange project tag: deep learning, benchmarking, machine learning
curator keyword: Technical
submitter keyword: cerebellum, Q Exactive, plasma, cell lines, mouse,human
Contact List
Matthias Mann
contact affiliationDepartment of Proteomics and Signal Transduction Max Planck Institute of Biochemistry
contact emailmmann@biochem.mpg.de
lab head
Mario Oroshi
contact affiliationProteomics
contact emailoroshi@biochem.mpg.de
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
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