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. 2024 Oct 9;11(1):1105.
doi: 10.1038/s41597-024-03834-8.

A dataset for developing proteomic tools for pathogen detection via differential cell lysis of whole blood samples

Jéssica de Oliveira Veloso Rezende #  1 , Michel Batista #  2   3 , Kelly Cavalcanti Machado  3 , Thiago Bousquet Bandini  3 , Igor Alexandre Côrtes de Menezes  4 , Fernanda do Carmo De Stefani  5 , Marlon Dias Mariano Santos  6   7 , Paulo Costa Carvalho  6 , Louise Ulrich Kurt  6 , Rodrigo Soares Caldeira Brant  3 , Luis Gustavo Morello  2 , Fabricio Klerynton Marchini  8   9
Affiliations

A dataset for developing proteomic tools for pathogen detection via differential cell lysis of whole blood samples

Jéssica de Oliveira Veloso Rezende et al. Sci Data. .

Abstract

This data descriptor presents a curated dataset for pathogen detection and identification (Staphylococcus aureus, Pseudomonas aeruginosa, and Candida albicans) directly from whole-blood samples. The dataset was created using differential cell lysis combined with rapid extraction, digestion, and mass spectrometry-based proteomics. Our method offers a rapid diagnostic alternative to traditional culture, enabling timely disease management, such as sepsis. Highlighting our dataset's uniqueness, it features a three-tier structure: Spectral Libraries of Pathogens for identifying peptide peaks for putative biomarkers; Spiked pathogen in blood MS data for biomarker panel optimization through varied concentration samples; and Parallel Reaction Monitoring (PRM) data from sepsis patients for validating our biomarker panel, achieving 83.3% sensitivity within seven hours without microbial enrichment culture. This dataset serves as a comprehensive reference for bioinformatic tool development and biomarker panel proposals, advancing microbial detection, antimicrobial resistance, and epidemiological studies.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
LC/ESI-MS/MS method to identify pathogens directly in blood samples with reduced time.
See this image and copyright information in PMC

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