Dataset Information

Proteomic diversity in bacteria: Insights and implications for bacterial identification

ABSTRACT: We 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).

INSTRUMENT(S): Orbitrap Fusion Lumos, Orbitrap Exploris 480

ORGANISM(S): Bacteria (ncbitaxon:2)

SUBMITTER: Christina Ludwig

PROVIDER: MSV000096603 | MassIVE | Fri Dec 06 07:32:00 GMT 2024

SECONDARY ACCESSION(S): PXD058650

REPOSITORIES: MassIVE

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Proteomic Diversity in Bacteria: Insights and Implications for Bacterial Identification.

Abele Miriam M Soleymaniniya Armin A Bayer Florian P FP Lomp Nina N Doll Etienne E Meng Chen C Neuhaus Klaus K Scherer Siegfried S Wenning Mareike M Wantia Nina N Kuster Bernhard B Wilhelm Mathias M Ludwig Christina C

Molecular & cellular proteomics : MCP 20250127 3

Mass spectrometry-based proteomics has revolutionized bacterial identification and elucidated many molecular mechanisms underlying bacterial growth, community formation, and drug resistance. However, most research has been focused on a few model bacteria, overlooking bacterial diversity. In this study, we present the most extensive bacterial proteomic resource to date, covering 303 species, 119 genera, and five phyla with over 636,000 unique expressed proteins, confirming the existence of over 3 ...[more]

PMID: 39880082

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