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PXD050922

PXD050922 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleAn accessible workflow for high sensitivity proteomics using Parallel Accumulation - Serial Fragmentation (PASEF)
DescriptionDeep and accurate proteome analysis is crucial for understanding cellular processes and disease mechanisms, however, it is also challenging to implement in routine settings. In this protocol we combine a robust and accessible chromatographic platform with an equally robust and high-performance mass spectrometric set up, to enable routine yet in-depth proteome coverage for a broad community. This entails tip-based sample preparation and pre-formed gradients combined with trapped ion mobility - quadrupole - time-of-flight mass spectrometry. It enables parallel accumulation - serial fragmentation (PASEF), in which all ions are used but spectra are resolved by ion mobility. Combined with data-independent acquisition (dia-PASEF), it offers high peak sampling rates and near-complete ion coverage. Here we explain how to balance quantitative accuracy, specificity, proteome coverage, and sensitivity by choosing best PASEF and DIA method parameters. The protocol streamlines the liquid chromatography - mass spectrometry setup and enables PASEF method generation and evaluation for varied samples. Our py_diAID tool automatically generates acquisition schemes where isolation windows are optimally positioned on the mass-to-charge and ion mobility plane. Hands-on time is three hours, and simple biological projects can be performed in three days. The implementation shown here allows reproducible quantification of 7,300 proteins in a human cancer cell line in 21 min with quadruplicate single-shot injections and 27,000 phosphosites in 21 min from for phospho-enriched quadruplicates. Synchro-PASEF, a next-generation scan mode, currently offers proteomic depth comparable to that of dia-PASEF. When analyzed with AlphaDIA, it showed superior quantitative reproducibility owing to its drastically reduced cycle times and high sampling efficiency.
HostingRepositoryMassIVE
AnnounceDate2024-10-17
AnnouncementXMLSubmission_2024-10-17_02:41:18.178.xml
DigitalObjectIdentifier
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterPatricia Skowronek
SpeciesList scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606;
ModificationListmonohydroxylated residue; acetylated residue; iodoacetamide derivatized residue; Phospho
InstrumenttimsTOF Pro; timsTOF Ultra
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-03-23 04:15:08ID requested
12024-10-17 02:41:18announced
Publication List
no publication
Keyword List
submitter keyword: TIMS, PASEF, data-independent acquisition , scan mode, TOF
Contact List
Matthias Mann
contact affiliationProteomics and Signal Transduction Max Planck Institute of Biochemistry Am Klopferspitz 18 D-82152 Martinsried
contact emailmmann@biochem.mpg.de
lab head
Patricia Skowronek
contact affiliationMPI
contact emailskowronek@biochem.mpg.de
dataset submitter
Full Dataset Link List
MassIVE dataset URI
Dataset FTP location
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