Studying salmonellae and yersiniae host-pathogen interactions using integrated 'omics and modeling

Charles Ansong, Brooke L. Deatherage, Daniel Hyduke, Brian Schmidt, Jason E. McDermott, Marcus B. Jones, Sadhana Chauhan, Pep Charusanti, Young Mo Kim, Ernesto S. Nakayasu, Jie Li, Afshan Kidwai, George Niemann, Roslyn N. Brown, Thomas O. Metz, Kathleen McAteer, Fred Heffron, Scott N. Peterson, Vladimir Motin, Bernhard O. PalssonRichard D. Smith, Joshua N. Adkins

    Research output: Chapter in Book/Report/Conference proceedingChapter

    11 Scopus citations


    Salmonella and Yersinia are two distantly related genera containing species with wide host-range specificity and pathogenic capacity. The metabolic complexity of these organisms facilitates robust lifestyles both outside of and within animal hosts. Using a pathogen-centric systems biology approach, we are combining a multi-omics (transcriptomics, proteomics, metabolomics) strategy to define properties of these pathogens under a variety of conditions including those that mimic the environments encountered during pathogenesis. These high-dimensional omics datasets are being integrated in selected ways to improve genome annotations, discover novel virulence-related factors, and model growth under infectious states. We will review the evolving technological approaches toward understanding complex microbial life through multi-omic measurements and integration, while highlighting some of our most recent successes in this area.

    Original languageEnglish (US)
    Title of host publicationSystems Biology
    EditorsMichael G. Katze
    Number of pages21
    StatePublished - 2012

    Publication series

    NameCurrent Topics in Microbiology and Immunology
    ISSN (Print)0070-217X

    ASJC Scopus subject areas

    • Immunology and Allergy
    • Microbiology
    • Immunology
    • Microbiology (medical)


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