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Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
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Surface Proteome Biotinylation Combined with Bioinformatic Tools as a Strategy for Predicting Pathogen Interacting
Anita Horvatić1, Josipa Kuleš2, Nicolas Guillemin2
1ERA Chair VetMedZg Project, Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia. horvatic.ani@gmail.com.
Methods in Molecular Biology (Clifton, N.J.)
|December 31, 2017
Summary
This study details a method to identify pathogen surface proteins using cell surface biotinylation and mass spectrometry. This approach aids in understanding pathogen interactions and finding new drug targets.
Area of Science:
- Microbiology
- Proteomics
- Bioinformatics
Background:
- Advancements in sequencing and bioinformatics enable pathogen proteome identification.
- Understanding pathogen-host interactions is crucial for drug target discovery.
- High-throughput techniques are essential for identifying pathogen-interacting proteins.
Purpose of the Study:
- To describe a methodology for enriching and identifying pathogen surface proteomes.
- To enable the determination of protein subcellular localization.
- To predict potential pathogen-interacting proteins for pharmaceutical targeting.
Main Methods:
- Cell surface protein biotinylation for enrichment.
- Liquid chromatography-tandem mass spectrometry (LC-MS/MS) for identification.
- Bioinformatic analyses for data interpretation.
Main Results:
- The described methodology successfully enriches and identifies pathogen surface proteins.
- The strategy allows for the determination of protein subcellular localization.
- Potential pathogen-interacting proteins were predicted.
Conclusions:
- This method provides a robust approach for pathogen surface proteome analysis.
- It facilitates the understanding of pathogen invasion and survival mechanisms.
- The identified proteins serve as potential targets for novel therapeutics.
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