Studying Salmonellae and Yersiniae host-pathogen interactions using integrated 'omics and modeling.
Title | Studying Salmonellae and Yersiniae host-pathogen interactions using integrated 'omics and modeling. |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Ansong C, Deatherage BL, Hyduke D, Schmidt B, McDermott JE, Jones MB, Chauhan S, Charusanti P, Kim Y-M, Nakayasu ES, Li J, Kidwai A, Niemann G, Brown RN, Metz TO, McAteer K, Heffron F, Peterson SN, Motin V, Palsson BO, Smith RD, Adkins JN |
Journal | Curr Top Microbiol Immunol |
Keywords | Animals, Genomics, Host-Pathogen Interactions, Humans, Metabolomics, Proteomics, Salmonella, Systems Biology, Yersinia |
Abstract | 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. |
DOI | 10.1007/82_2012_247 |
Alternate Journal | Curr. Top. Microbiol. Immunol. |
PubMed ID | 22886542 |
Grant List | R01 AI022933 / AI / NIAID NIH HHS / United States |