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Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
Published on: October 20, 2020
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Proteogenomics in Aid of Host-Pathogen Interaction Studies: A Bacterial Perspective
Ursula Fels1,2, Kris Gevaert3,4, Petra Van Damme5,6
1VIB-UGent Center for Medical Biotechnology, Albert Baertsoenkaai 3, B-9000 Ghent, Belgium. ursula.fels@vib-ugent.be.
Proteomes
|October 12, 2017
Summary
Next-generation omics tools aid host-pathogen interaction studies. However, quantitative gene expression profiling faces challenges with bacterial pathogens, necessitating novel proteogenomics strategies and complementary omics approaches.
Area of Science:
- Microbiology
- Genomics
- Proteomics
Background:
- Next-generation omics enables simultaneous study of host and pathogen gene expression.
- Studying host-pathogen interactions requires high discriminative power.
- Current quantitative gene expression profiling is insufficient for bacterial pathogens.
Purpose of the Study:
- To review challenges in using proteogenomics for bacterial pathogenesis.
- To explore applications of transcriptomics, proteomics, and secretomics in host-pathogen interactions.
Main Methods:
- Review of existing literature on omics strategies.
- Focus on proteogenomics challenges in bacterial pathogenesis.
- Analysis of transcriptomics, proteomics, and secretomics applications.
Main Results:
- Proteogenomics approaches face significant hurdles in studying bacterial pathogenesis.
- Complementary omics strategies are needed to overcome limitations in gene expression profiling.
- Various omics strategies offer valuable insights into pathogen-host interactions.
Conclusions:
- Novel methodologies are essential for advancing the study of bacterial pathogenesis using omics.
- Integrating multiple omics approaches can enhance understanding of host-pathogen dynamics.
- Further development in proteogenomics is crucial for comprehensive interaction studies.
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