Title Studying Salmonellae and Yersiniae host-pathogen interactions using integrated 'omics and modeling.
Year of Publication 2013
Authors C. Ansong; B.L. Deatherage; D. Hyduke; B. Schmidt; J.E. McDermott; M.B. Jones; S. Chauhan; P. Charusanti; Y.M. Kim; E.S. Nakayasu; J. Li; A. Kidwai; G. Niemann; R.N. Brown; T.O. Metz; K. McAteer; F. Heffron; S.N. Peterson; V. Motin; B.O. Palsson; R.D. Smith; J.N. Adkins
Journal PLoS Comput Biol
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.
URL http://www.ncbi.nlm.nih.gov/pubmed/22886542?dopt=Abstract
PubMed ID 22886542