Literature DB >> 27053566

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.

Thomas Todd1, Natalie Dunn2, Zuoshuang Xiang3, Yongqun He4.   

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.

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Year:  2016        PMID: 27053566      PMCID: PMC4825961     

Source DB:  PubMed          Journal:  Comp Med        ISSN: 1532-0820            Impact factor:   0.982


  22 in total

Review 1.  Statistics in medical journals: some recent trends.

Authors:  D G Altman
Journal:  Stat Med       Date:  2000-12-15       Impact factor: 2.373

Review 2.  Invited review: Use of meta-analysis in animal health and reproduction: methods and applications.

Authors:  I J Lean; A R Rabiee; T F Duffield; I R Dohoo
Journal:  J Dairy Sci       Date:  2009-08       Impact factor: 4.034

Review 3.  Latent tuberculosis infection: myths, models, and molecular mechanisms.

Authors:  Noton K Dutta; Petros C Karakousis
Journal:  Microbiol Mol Biol Rev       Date:  2014-09       Impact factor: 11.056

Review 4.  Mice, microbes and models of infection.

Authors:  Jan Buer; Rudi Balling
Journal:  Nat Rev Genet       Date:  2003-03       Impact factor: 53.242

5.  Modeling biomedical experimental processes with OBI.

Authors:  Ryan R Brinkman; Mélanie Courtot; Dirk Derom; Jennifer M Fostel; Yongqun He; Phillip Lord; James Malone; Helen Parkinson; Bjoern Peters; Philippe Rocca-Serra; Alan Ruttenberg; Susanna-Assunta Sansone; Larisa N Soldatova; Christian J Stoeckert; Jessica A Turner; Jie Zheng
Journal:  J Biomed Semantics       Date:  2010-06-22

6.  Evaluation of the Mtb72F polyprotein vaccine in a rabbit model of tuberculous meningitis.

Authors:  Liana Tsenova; Ryhor Harbacheuski; Andre L Moreira; Evette Ellison; Wilfried Dalemans; Mark R Alderson; Barun Mathema; Steven G Reed; Yasir A W Skeiky; Gilla Kaplan
Journal:  Infect Immun       Date:  2006-04       Impact factor: 3.441

7.  BBP: Brucella genome annotation with literature mining and curation.

Authors:  Zuoshuang Xiang; Wenjie Zheng; Yongqun He
Journal:  BMC Bioinformatics       Date:  2006-07-16       Impact factor: 3.169

8.  The Mouse Genome Database (MGD): facilitating mouse as a model for human biology and disease.

Authors:  Janan T Eppig; Judith A Blake; Carol J Bult; James A Kadin; Joel E Richardson
Journal:  Nucleic Acids Res       Date:  2014-10-27       Impact factor: 16.971

9.  The Rat Genome Database 2015: genomic, phenotypic and environmental variations and disease.

Authors:  Mary Shimoyama; Jeff De Pons; G Thomas Hayman; Stanley J F Laulederkind; Weisong Liu; Rajni Nigam; Victoria Petri; Jennifer R Smith; Marek Tutaj; Shur-Jen Wang; Elizabeth Worthey; Melinda Dwinell; Howard Jacob
Journal:  Nucleic Acids Res       Date:  2014-10-29       Impact factor: 19.160

Review 10.  Studying human pathogens in animal models: fine tuning the humanized mouse.

Authors:  Caroline Lassnig; Andreas Kolb; Birgit Strobl; Luis Enjuanes; Mathias Müller
Journal:  Transgenic Res       Date:  2005-12       Impact factor: 2.788

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  1 in total

Review 1.  Vaccines Meet Big Data: State-of-the-Art and Future Prospects. From the Classical 3Is ("Isolate-Inactivate-Inject") Vaccinology 1.0 to Vaccinology 3.0, Vaccinomics, and Beyond: A Historical Overview.

Authors:  Nicola Luigi Bragazzi; Vincenza Gianfredi; Milena Villarini; Roberto Rosselli; Ahmed Nasr; Amr Hussein; Mariano Martini; Masoud Behzadifar
Journal:  Front Public Health       Date:  2018-03-05
  1 in total

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