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PXD036451

PXD036451 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleIncreasing proteome depth while maintaining quantitative precision in short gradient data-independent acquisition proteomics
DescriptionThe combination of short liquid chromatography (LC) gradients and data independent acquisition (DIA) by mass spectrometry (MS) has proven its huge potential for high-throughput proteomics. However, the optimization of isolation window schemes resulting in a certain number of data points per peak (DPPP) is understudied, although it is one of the most important parameters for the outcome of this methodology. In this study, we show that substantially reducing the number of data points per peak (DPPP) for short gradient DIA massively increases protein identifications while maintaining quantitative precision. This is due to a large increase in the number of precursors identified, which keeps the number of data points per protein almost constant even at long cycle times. When proteins are inferred from its precursors, quantitative precision is maintained at low DPPP while greatly increasing proteomic depth. This strategy enabled us quantifying 6018 HeLa proteins (> 80,000 precursor identifications) with coefficients of variation below 20% in 30 min using a Q Exactive HF, which corresponds to a throughput of 29 samples per day. This indicates that the potential of high-throughput DIA-MS has not been fully exploited yet.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:47:49.929.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterJoerg Doellinger
SpeciesList scientific name: Escherichia coli; NCBI TaxID: 562; scientific name: Homo sapiens (Human); NCBI TaxID: 9606; scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-09-02 04:56:26ID requested
12023-05-10 15:26:17announced
22023-11-14 08:47:57announced2023-11-14: Updated project metadata.
Publication List
Doellinger J, Blumenscheit C, Schneider A, Lasch P, Increasing Proteome Depth While Maintaining Quantitative Precision in Short-Gradient Data-Independent Acquisition Proteomics. J Proteome Res, 22(6):2131-2140(2023) [pubmed]
Keyword List
submitter keyword: Isolation Windows,DIA, Multi-species, short-gradient
Contact List
Peter Lasch
contact affiliationZBS6, Proteomics and Spectroscopy, Robert Koch-Institute
contact emailLaschP@rki.de
lab head
Joerg Doellinger
contact affiliationProteomics and Spectroscopy (ZBS6), Robert Koch-Institute
contact emailDoellingerj@rki.de
dataset submitter
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Dataset FTP location
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