PXD071424-1

PXD071424 is an original dataset announced via ProteomeXchange.

Title	Proteomic and Metabolomic Profiling of Invasive Methicillin Resistant Staphy-lococcus aureus : Uncovering Key Biomarkers and Pathogenic Pathways
Description	Understanding the behavioural differences between methicillin-resistant Staphylococcus aureus (MRSA) associated with invasive versus non-invasive infections is key to unraveling their infection mechanisms and identifying biomarkers with potential translational value. This study aimed to compare the proteomic and metabolomic profiles of MRSA isolates derived from different infections to uncover distinct molecular signatures. MRSA isolates from invasive infections (blood cultures, n = 23), non-invasive infections (superficial skin, n = 49), and colonization (nasal swabs, n = 24) were analyzed Using the dual functionality methanol extraction method, proteins and metabolites were extracted from bacterial colonies grown on blood agar. Proteins were analyzed using the Orbitrap Exploris 480, and metabolites were characterized using a TimsTOF mass spectrometer with an Apollo II electrospray ionization source. Data was acquired using DIA, and the peptides were assigned to their respective proteins using DIA-NN, while metabolomic data analysis was conducted using MetaboScape® 4.0. A total of 2000 proteins and 150 metabolites were identified across all the MRSA isolates. No significant differences in protein or metabolite changes were observed between nasal colonizers and isolates from non-invasive infections. However, compared with isolates from non-invasive infections and colonization, isolates from invasive infections consistently exhibited higher levels of two metabolites (Sphinganine and Phosphoserine) and one protein (Staphylococcal secretory antigen ssaA2). Conversely, three metabolites (Cytidine, Benzoic acid, and Guanosine) and two proteins (Small ribosomal subunit protein bS20 and Bifunctional autolysin) were found at significantly lower intensities in isolates from invasive infections.. Over-representation analysis of enriched KEGG pathways revealed significant enrichment of the sphingolipid metabolism and ribosomal pathways (p<0.05).
HostingRepository	PRIDE
AnnounceDate	2026-06-08
AnnouncementXML	Submission_2026-06-07_17:18:40.916.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Alexander Giddey
SpeciesList	scientific name: Staphylococcus aureus; NCBI TaxID: NEWT:1280;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Exploris 480

Revision	Datetime	Status	ChangeLog Entry
0	2025-12-01 02:59:41	ID requested
⏵ 1	2026-06-07 17:18:41	announced

Boucherabine S, Giddey AD, Nassar R, Mohamed L, Verma S, Soares NC, Senok A, associated with invasive vs. non-invasive infections: uncovering key biomarkers and pathogenic pathways. Front Microbiol, 17():1798070(2026) [pubmed]

10.3389/fmicb.2026.1798070;

submitter keyword: MRSA;Staphylococcus aureus;proteomics;metabolomics

Abiola Senok
contact affiliation	1 College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates 2 School of Dentistry, Cardiff University, Cardiff, United Kingdom
contact email	abiola.senok@dubaihealth.ae
lab head
Alexander Giddey
contact affiliation	University of Cape Town
contact email	gddale001@myuct.ac.za
dataset submitter

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/2026/06/PXD071424

PRIDE project URI

• PRIDE
  1. PXD071424
     1. Label: PRIDE project
     2. Name: Proteomic and Metabolomic Profiling of Invasive Methicillin Resistant Staphy-lococcus aureus : Uncovering Key Biomarkers and Pathogenic Pathways