title: Vaxar: A Web-Based Database of Laboratory Animal Responses to Vaccinations and Its Application in the Meta-Analysis of Different Animal Responses to Tuberculosis Vaccinations.
abstract: Animal models are indispensable for vaccine research and development. However, choosing which species to use and designing a vaccine study that is optimized for that species is often challenging. Vaxar (http://www.violinet.org/vaxar/) is a web-based database and analysis system that stores manually curated data regarding vaccine-induced responses in animals. To date, Vaxar encompasses models from 35 animal species including rodents, rabbits, ferrets, primates, and birds. These 35 species have been used to study more than 1300 experimentally tested vaccines for 164 pathogens and diseases significant to humans and domestic animals. The responses to vaccines by animals in more than 1500 experimental studies are recorded in Vaxar; these data can be used for systematic meta-analysis of various animal responses to a particular vaccine. For example, several variables, including animal strain, animal age, and the dose or route of either vaccination or challenge, might affect host response outcomes. Vaxar can also be used to identify variables that affect responses to different vaccines in a specific animal model. All data stored in Vaxar are publically available for web-based queries and analyses. Overall Vaxar provides a unique systematic approach for understanding vaccine-induced host immunity.
authors.affiliation: Division of Comparative Medicine, University of South Florida, Tampa, Florida, USA.
authors.forename: Thomas
authors.initials: T
authors.lastname: Todd
authors.affiliation: College of Literature, Sciences, and Arts, University of Michigan, Ann Arbor, Michigan, USA.
authors.forename: Natalie
authors.initials: N
authors.lastname: Dunn
authors.affiliation: Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
authors.forename: Zuoshuang
authors.initials: Z
authors.lastname: Xiang
authors.affiliation: Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology,Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA. yongqunh@umich.edu.
authors.forename: Yongqun
authors.initials: Y
authors.lastname: He
mesh_terms: D000818:Animals; D000830:Animals, Laboratory / Q000276:immunology*; D035843:Biomedical Research; D019295:Computational Biology; D016208:Databases, Factual; D020407:Internet; D015201:Meta-Analysis as Topic; D023421:Models, Animal; D014376:Tuberculosis / Q000517:prevention & control; D032581:Tuberculosis Vaccines / Q000276:immunology*; D014612:Vaccines / Q000008:administration & dosage / Q000276:immunology*
chemical_list: D032581:Tuberculosis Vaccines; D014612:Vaccines