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A DATASET FOR DEVELOPING PROTEOMIC TOOLS FOR PATHOGEN DETECTION VIA DIFERENTIAL CELL LYSIS OF WHOLE BLOOD SAMPLES
Pseudomonas aeruginosa
Candida albicans
Sepse
Espectrometria de massas
Author
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Abstract
This data descriptor presents a curated dataset for pathogen detection and identifcation (Staphylococcus aureus, Pseudomonas aeruginosa, and Candida albicans) directly from whole-blood samples. The dataset was created using diferential cell lysis combined with rapid extraction, digestion, and mass spectrometry-based proteomics. Our method ofers 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.
Keywords in Portuguese
Staphylococcus aureusPseudomonas aeruginosa
Candida albicans
Sepse
Espectrometria de massas
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