PXD051792 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Ultra-sensitive metaproteomics (uMetaP) redefines the “dark” metaproteome, enables single-bacterium resolution, and discovers hidden functions in the gut microbiome |
Description | Metaproteomics uniquely characterizes host-microbiome interactions. However, most species detected by metagenomics remain hidden to metaproteomics due to sensitivity limits. We present a novel ultra-sensitive metaproteomic solution (uMetaP) that, for the first time, reaches full-length 16S rRNA taxonomic depth and can simultaneously decipher functional features. Querying the mouse gut microbiome, uMetaP achieved unprecedented performance in key metrics like protein groups (47925) alongside taxonomic (220 species) and functional annotations (223 KEGG pathways) - all within 30-min analysis time and with high reproducibility, sensitivity, and quantitative precision. uMetaP revealed previously unidentified proteins of unknown functions, small proteins, and potentially new natural antibiotics. Leveraging the extreme sensitivity of uMetaP and SILAC-labelled bacteria, we revealed the true limit of detection and quantification for the “dark” metaproteome of the mouse gut. Moreover, using a two-bacteria proteome mix, we demonstrated single-bacterium resolution (500 femtogram) with exceptional quantification precision and accuracy. From deciphering the interplay of billions of microorganisms with the host to exploring microbial heterogeneity, uMetaP represents a quantum leap in metaproteomics. Taken together, uMetaP will open new avenues for our understanding of the microbial world and its connection to health and disease. |
HostingRepository | PRIDE |
AnnounceDate | 2025-06-25 |
AnnouncementXML | Submission_2025-06-25_12:49:11.782.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Feng Xian |
SpeciesList | scientific name: Salinibacter ruber DSM 13855; NCBI TaxID: 309807; scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; scientific name: Ligilactobacillus murinus DSM 20452 = NBRC 14221; NCBI TaxID: 1423772; |
ModificationList | acetylated residue; monohydroxylated residue; iodoacetamide derivatized residue |
Instrument | timsTOF Pro; timsTOF Ultra |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-04-27 05:02:20 | ID requested | |
⏵ 1 | 2025-06-25 12:49:12 | announced | |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: LC-MS, Metaproteomics, Sensitivity,Microbiome |
Contact List
Manuela Schmidt |
contact affiliation | Division of Pharmacology & Toxicology, Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna |
contact email | manuela_schmidt@univie.ac.at |
lab head | |
Feng Xian |
contact affiliation | Division of Pharmacology and Toxicology, Department of Pharmaceutical Sciences, University of Vienna |
contact email | feng.xian@univie.ac.at |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2025/06/PXD051792 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD051792
- Label: PRIDE project
- Name: Ultra-sensitive metaproteomics (uMetaP) redefines the “dark” metaproteome, enables single-bacterium resolution, and discovers hidden functions in the gut microbiome