PXD055135 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | vPro-MS enables identification of human-pathogenic viruses from patient samples by untargeted proteomics |
| Description | Viral infections are commonly diagnosed by the detection of viral genome fragments or proteins using targeted methods such as PCR and immunoassays. In contrast, metagenomics enables the untargeted identification of viral genomes, expanding its applicability across a broader spectrum. In this study, we introduce proteomics as a complementary approach for the untargeted identification of human-pathogenic viruses from patient samples. The viral proteomics workflow (vPro-MS) is based on an in-silico derived peptide library covering the human virome in UniProtKB (331 viruses, 20,386 genomes, 121,977 peptides), which was especially designed for diagnostic purposes. A scoring algorithm (vProID score) was developed to assess the confidence of virus identification from proteomics data. In combination with high-throughput diaPASEF-based data acquisition, this workflow enables the analysis of up to 60 samples per day. The specificity was determined to be > 99,9 % in an analysis of 221 plasma, swab and cell culture samples covering 18 different viruses (e.g. SARS, MERS, EBOV, MPXV). The sensitivity of this approach for the detection of SARS-CoV-2 in nasopharyngeal swabs corresponds to a PCR cycle threshold of 27 with comparable quantitative accuracy to metagenomics. vPro-MS enables the integration of untargeted virus identification in large-scale proteomic studies of biofluids such as human plasma to detect previously undiscovered virus infections in patient specimens. |
| HostingRepository | PRIDE |
| AnnounceDate | 2025-08-04 |
| AnnouncementXML | Submission_2025-08-04_14:22:56.661.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Joerg Doellinger |
| SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | timsTOF HT |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2024-08-23 08:07:24 | ID requested | |
| ⏵ 1 | 2025-08-04 14:22:57 | announced | |
Publication List
| Grossegesse M, Horn F, Kurth A, Lasch P, Nitsche A, Doellinger J, vPro-MS enables identification of human-pathogenic viruses from patient samples by untargeted proteomics. Nat Commun, 16(1):7041(2025) [pubmed] |
| 10.1038/s41467-025-62469-4; |
Keyword List
| submitter keyword: pathogen detection, virus identification, virome,virus |
Contact List
| Peter Lasch |
| contact affiliation | Proteomics and Spectroscopy, ZBS6, Robert Koch Institute, Germany |
| contact email | LaschP@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
- PXD055135
- Label: PRIDE project
- Name: vPro-MS enables identification of human-pathogenic viruses from patient samples by untargeted proteomics