Related Experiment Video
Updated: May 19, 2026
07:56
Generation of a Bovine Primary Enteroid-Derived Two-Dimensional Monolayer Culture System for Applications in Translational Biomedical Research
Published on: April 5, 2024
Studying Salmonellae and Yersiniae host-pathogen interactions using integrated 'omics and modeling.
Charles Ansong1, Brooke L Deatherage, Daniel Hyduke
1Biological Separations and Mass Spectroscopy Group, Pacific Northwest National Laboratory, PO Box 999, MSIN: K8-98, Richland, WA, 99352, USA.
Current Topics in Microbiology and Immunology
|August 14, 2012
Summary
Salmonella and Yersinia pathogens are studied using multi-omics to understand their complex lifestyles and identify virulence factors. This research integrates various data types to model growth during infections.
Area of Science:
- Microbiology
- Systems Biology
- Genomics
Background:
- Salmonella and Yersinia are pathogenic bacteria with broad host specificity.
- Their metabolic complexity enables survival in diverse environments, including hosts.
Purpose of the Study:
- To define pathogen properties using a systems biology approach.
- To integrate multi-omics data for improved genome annotation and virulence factor discovery.
- To model bacterial growth under infectious conditions.
Main Methods:
- A pathogen-centric, multi-omics strategy (transcriptomics, proteomics, metabolomics).
- Integration of high-dimensional omics datasets.
- Analysis of pathogens under various conditions, including those mimicking pathogenesis.
Main Results:
- Improved genome annotations for Salmonella and Yersinia.
- Discovery of novel virulence-related factors.
- Development of models for growth during infectious states.
Conclusions:
- Multi-omics integration is crucial for understanding complex microbial pathogens.
- This approach enhances our ability to identify virulence factors and model pathogenesis.
- Technological advancements are driving progress in microbial systems biology.
