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PXD058650

PXD058650 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomic diversity in bacteria: Insights and implications for bacterial identification
DescriptionWe acquired the largest bacterial proteomic resource, covering 303 species, 119 genera, and five phyla. The proteome coverage is, on average, over 50%. Additionally, we acquired further datasets for bacterial identification algorithm validation: i) 303 species at a 30-minute gradient (38 samples per day throughput), ii) 303 species at a 10-minute gradient (80 samples per day throughput), iii) reproducibility dataset, iv) genus-specific Pseudomonas spp. dataset (94 Pseudomonas spp. strains), v) genus-specific Bacillus spp. dataset (28 Bacillus cereus s.l. strains), vi) food routine dataset (60 dairy product isolates), and vii) clinical routine dataset (570 clinical isolates).
HostingRepositoryMassIVE
AnnounceDate2025-05-07
AnnouncementXMLSubmission_2025-05-07_13:45:44.108.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChristina Ludwig
SpeciesList scientific name: Bacteria; common name: eubacteria; NCBI TaxID: 2;
ModificationListCarbamidomethyl; Oxidation; Acetyl
InstrumentOrbitrap Exploris 480; Orbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-12-06 07:32:52ID requested
12025-05-07 13:45:44announced
Publication List
Abele M, Soleymaniniya A, Bayer FP, Lomp N, Doll E, Meng C, Neuhaus K, Scherer S, Wenning M, Wantia N, Kuster B, Wilhelm M, Ludwig C, Proteomic Diversity in Bacteria: Insights and Implications for Bacterial Identification. Mol Cell Proteomics, 24(3):100917(2025) [pubmed]
Keyword List
submitter keyword: proteomic map, bacteria, bacterial identification, proteotyping, DatasetType:Proteomics
Contact List
Christina Ludwig
contact affiliationBayBioMS, Technical University of Munich
contact emailtina.ludwig@tum.de
lab head
Christina Ludwig
contact affiliationBayBioMS, Technical University of Munich (TUM)
contact emailtina.ludwig@tum.de
dataset submitter
Full Dataset Link List
MassIVE dataset URI
Dataset FTP location
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