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A Dataset for Developing Proteomic Tools in Pathogen Detection via Differential Cell Lysis from Whole Blood Samples

ABSTRACT: This data descriptor introduces a curated dataset generated through a methodology that merges differential cell lysis, paired with swift extraction/digestion processes and mass spectrometry-based proteomics, aimed at the specific detection and identification of pathogens such as Staphylococcus aureus, Pseudomonas aeruginosa, and Candida albicans directly from whole-blood samples. Our protocol offers a rapid and direct diagnostic alternative, circumventing the traditional culture processes and thus facilitating the timely management of diseases like sepsis. We demonstrate the utility of this dataset by proposing a biomarker panel, derived from the proteomic profiles of the aforementioned pathogens, and applying our differential cell lysis protocol to blood samples from 8 sepsis patients. We achieved a sensitivity of 87.5% using parallel reaction monitoring (PRM), thereby providing diagnostics within a seven-hour timeframe without the need for microbial enrichment culture. Moreover, this dataset demonstrates high reproducibility and minimal outliers, solidifying its role as a reference for benchmarking and development of bioinformatic tools for peptide panel in identification for microbial detection, antimicrobial resistance, and epidemiological studies.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Pseudomonas Aeruginosa Pabl056 Candida Albicans (yeast) Staphylococcus Aureus

TISSUE(S): Blood

SUBMITTER: Marlon D M Santos

LAB HEAD: Jéssica de

PROVIDER: PXD039165 | Pride | 2024-08-08

REPOSITORIES: Pride

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Dataset's files

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			Action	DRS
	20200211_2420_SAUSG_rep_1.RAW	Raw
	20200211_2420_SAUSG_rep_2.RAW	Raw
	20200211_2620_CALBSG_rep_1.RAW	Raw
	20200211_2620_CALBSG_rep_2.RAW	Raw
	20200211_2720_PAESG_rep_1.RAW	Raw

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