Texas A&M Health Science Center 2 articles published in JoVE Immunology and Infection Automated, High-Throughput Detection of Bacterial Adherence to Host Cells Jing Yang1, Qing-Ming Qin1, Erin Van Schaik1, James E. Samuel1, Paul de Figueiredo1,2 1Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, 2College of Veterinary Medicine, Texas A&M University Detection of host-bacterial pathogen interactions based on phenotypic adherence using high-throughput fluorescence labeling imaging along with automated statistical analysis methods enables rapid evaluation of potential bacterial interactions with host cells. Immunology and Infection Imaging Mycobacterium tuberculosis in Mice with Reporter Enzyme Fluorescence Riti Sharan*1, Hee-Jeong Yang*2, Preeti Sule1, Jeffrey D. Cirillo1 1Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, 2Tuberculosis Research Section, Laboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health We describe the optical imaging of mice infected with Mycobacterium tuberculosis (M. tuberculosis) using reporter enzyme fluorescence (REF). This protocol facilitates the sensitive and specific detection of M. tuberculosis in pre-clinical animal models for pathogenesis, therapeutics and vaccine research.
