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Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach
Published on: October 7, 2025
Proteotyping: Proteomic characterization, classification and identification of microorganisms--A prospectus
Roger Karlsson1, Lucia Gonzales-Siles2, Fredrik Boulund3
1Department of Clinical Microbiology, Sahlgrenska University Hospital, SE-41346 Gothenburg, Sweden; Nanoxis Consulting AB, SE-40016 Gothenburg, Sweden.
Proteomics offers advanced methods for microbial identification and characterization. Techniques like tandem mass spectrometry provide high-resolution analysis, complementing traditional methods in microbial systematics.
Area of Science:
- Microbiology
- Proteomics
- Bioinformatics
Background:
- Microbial systematics relies on diverse characterization methods.
- Whole-genome sequencing is definitive but resource-intensive.
- Proteomics provides insights into expressed microbial traits.
Purpose of the Study:
- To explore the role of proteomics in microbial characterization.
- To highlight advanced mass spectrometry techniques for microbial identification.
- To demonstrate proteomics as a complementary approach in microbial systematics.
Main Methods:
- Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) for fingerprinting.
- Liquid chromatography-tandem mass spectrometry (LC-MS/MS) for high-resolution proteomic analysis.
- Bioinformatic analysis of proteomic data.
Main Results:
- MALDI-TOF MS enables rapid microbial identification but has limitations for strain-level detail.
- LC-MS/MS allows detection of numerous microbial markers for high-resolution characterization.
- Proteomics effectively identifies bacterial species and strains, including diverse environmental bacteria.
Conclusions:
- Proteomics, particularly LC-MS/MS, offers powerful tools for microbial identification and characterization.
- Proteomics complements traditional methods, enabling detailed 'proteotyping' across all taxonomic levels.
- Advancements in MS and bioinformatics drive the application of proteomics in microbial systematics.
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