1. A dataset for developing proteomic tools for pathogen detection via differential cell lysis of whole blood samples
- Author
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Jéssica de Oliveira Veloso Rezende, Michel Batista, Kelly Cavalcanti Machado, Thiago Bousquet Bandini, Igor Alexandre Côrtes de Menezes, Fernanda do Carmo De Stefani, Marlon Dias Mariano Santos, Paulo Costa Carvalho, Louise Ulrich Kurt, Rodrigo Soares Caldeira Brant, Luis Gustavo Morello, and Fabricio Klerynton Marchini
- Subjects
Science - Abstract
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.
- Published
- 2024
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