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PXD073367-1

PXD073367 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleEvaluation of deep and dynamic proteomic screening strategies at sub-50Hz scan rate and without automation
DescriptionIn this study, we systematically evaluate sample preparation strategies, data acquisition modes and data-analysis approaches for both labeled and label-free proteomics, with the explicit goal of maximizing throughput and quantitative depth using Orbitrap-based instruments operating below 50Hz scan rates and without reliance on automation. Our central objective is to define realistic, accessible proteomics workflows that can be implemented within standard cell and molecular biology laboratories, enabling high-throughput deep and dynamic proteome measurements akin to cell screening platforms. Specifically, we first assess high-throughput sample preparation strategies compatible with 96-well cell culture formats, comparing in-solution (adapted from Simplit17 i.e. Simplit2), filter-based (STrap18), and on bead aggregation (SP319) based enzymatic digestion. Next we benchmarked TMT-based approaches (MS2,SPS-MS3 and real time search assisted SPS-MS3) and DIA appraoches on three species peptide mix. Similar benchmarking of dynamic SILAC-DIA and SILAC-TMT can be found in associated submissions.
HostingRepositoryPRIDE
AnnounceDate2026-03-30
AnnouncementXMLSubmission_2026-03-30_05:10:36.868.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChristian Münch
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606; scientific name: Escherichia coli; NCBI TaxID: NEWT:562; scientific name: Staphylococcus aureus; NCBI TaxID: NEWT:1280;
ModificationListAcetyl:2H(3); Oxidation; Carbamidomethyl
InstrumentQ Exactive HF; Orbitrap Fusion Lumos; Orbitrap Ascend
Dataset History
RevisionDatetimeStatusChangeLog Entry
02026-01-21 14:49:45ID requested
12026-03-30 05:10:37announced
Publication List
10.5281/ZENODO.18925014;
Keyword List
submitter keyword: None
Contact List
Christian Münch
contact affiliationInstitute of Molecular Systems Medicine, Goethe University, Frankfurt Germany
contact emailch.muench@em.uni-frankfurt.de
lab head
Christian Münch
contact affiliationGoethe University Frankfurt
contact emailch.muench@em.uni-frankfurt.de
dataset submitter
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Dataset FTP location
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