PXD056051 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Antibiotic resistance detection and concomitant species identification of ESKAPE pathogens by proteomics |
| Description | Antimicrobial resistance (AMR) is an increasing challenge for therapy of bacterial infections. Currently, patient treatment is guided by antimicrobial susceptibility testing (AST) using phenotypic assays and species identification by MALDI-ToF biotyping. Bacterial phenotype prediction using omics technologies could offer several advantages over current diagnostic methods. It would allow species identification and AST to be combined in a single measurement, it would eliminate the need for secondary cultivation and could enable the prediction of phenotypes beyond AMR, such as virulence. In this study, the potential of proteomics for clinical microbiology was evaluated in an analysis of 126 clinical isolates covering 16 species including all ESKAPE genera and 30 of the most common AMR determinants. For this purpose, a flexible workflow was developed, which enables to report the AMR phenotype and the species of primary cultures within 2h. Proteomics provided high specificity (99.9%) and sensitivity (94.4 %) for AMR detection, while allowing species identification from very large sequence databases with high accuracy. The results show, that proteomics is well suited for phenotyping clinical bacterial isolates and has the potential to become a valuable diagnostic tool for clinical microbiology in the future. |
| HostingRepository | PRIDE |
| AnnounceDate | 2026-03-02 |
| AnnouncementXML | Submission_2026-03-02_04:12:57.199.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Joerg Doellinger |
| SpeciesList | scientific name: Klebsiella quasipneumoniae; NCBI TaxID: NEWT:1463165; scientific name: Klebsiella grimontii; NCBI TaxID: NEWT:2058152; scientific name: Staphylococcus aureus; NCBI TaxID: NEWT:1280; scientific name: Acinetobacter baumannii; NCBI TaxID: NEWT:470; scientific name: Klebsiella oxytoca; NCBI TaxID: NEWT:571; scientific name: Pseudomonas aeruginosa PA103; NCBI TaxID: NEWT:1081927; scientific name: Shigella sonnei; NCBI TaxID: NEWT:624; scientific name: Morganella morganii subsp. morganii; NCBI TaxID: NEWT:180434; scientific name: Citrobacter freundii complex; NCBI TaxID: NEWT:1344959; scientific name: Enterobacter cloacae; NCBI TaxID: NEWT:550; scientific name: Enterococcus faecium Com15; NCBI TaxID: NEWT:565663; scientific name: Proteus mirabilis; NCBI TaxID: NEWT:584; scientific name: Escherichia coli; NCBI TaxID: NEWT:562; scientific name: Klebsiella pneumoniae; NCBI TaxID: NEWT:573; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Q Exactive HF |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2024-09-20 04:28:50 | ID requested | |
| ⏵ 1 | 2026-03-02 04:12:57 | announced | |
Publication List
Keyword List
| submitter keyword: LC-MS, Public Health,Bacteria, AMR, Proteomics |
Contact List
| Joerg Doellinger |
| contact affiliation | Robert Koch Institute, Centre for Biological Threats and Special Pathogens, Proteomics and Spectroscopy (ZBS6), Berlin, Germany |
| contact email | doellingerj@rki.de |
| lab head | |
| Joerg Doellinger |
| contact affiliation | Proteomics and Spectroscopy (ZBS6), Robert Koch-Institute |
| contact email | doellingerj@rki.de |
| dataset submitter | |
Full Dataset Link List
Dataset FTP location
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| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD056051
- Label: PRIDE project
- Name: Antibiotic resistance detection and concomitant species identification of ESKAPE pathogens by proteomics