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

Autor: de Oliveira Veloso Rezende J; Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Fiocruz Paraná, Paraná, Brazil. jessica_oliveiraveloso@hotmail.com., Batista M; Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Fiocruz Paraná, Paraná, Brazil.; Mass Spectrometry Facility RPT02H, Carlos Chagas Institute, Fiocruz Paraná, Paraná, Brazil., Machado KC; Mass Spectrometry Facility RPT02H, Carlos Chagas Institute, Fiocruz Paraná, Paraná, Brazil., Bandini TB; Mass Spectrometry Facility RPT02H, Carlos Chagas Institute, Fiocruz Paraná, Paraná, Brazil., de Menezes IAC; Internal Medicine Department, Federal University of Paraná, Paraná, Brazil., do Carmo De Stefani F; Clinical Hospital, Federal University of Paraná, Paraná, Brazil., Dias Mariano Santos M; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil.; Analytical Biochemistry and Proteomics Unit. IIBCE/Institut Pasteur de Montevideo, Curitiba, Brazil., Carvalho PC; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil., Kurt LU; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil., Brant RSC; Mass Spectrometry Facility RPT02H, Carlos Chagas Institute, Fiocruz Paraná, Paraná, Brazil., Morello LG; Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Fiocruz Paraná, Paraná, Brazil., Marchini FK; Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Fiocruz Paraná, Paraná, Brazil. fabricio.marchini@fiocruz.br.; Mass Spectrometry Facility RPT02H, Carlos Chagas Institute, Fiocruz Paraná, Paraná, Brazil. fabricio.marchini@fiocruz.br.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2024 Oct 09; Vol. 11 (1), pp. 1105. Date of Electronic Publication: 2024 Oct 09.
DOI: 10.1038/s41597-024-03834-8
Abstrakt: 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.
(© 2024. The Author(s).)
Databáze: MEDLINE
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