HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Mycobacterium bovis antigens for the differential diagnosis of vaccinated and infected cattle.

Abstract
The urgency for new and improved cattle vaccines and diagnostic reagents for Bovine tuberculosis (TB) has made their development a research priority in Great Britain (GB). Significant progress has been made to develop specific antigens that allow the differentiation of BCG vaccinated and Mycobacterium bovis infected cattle (DIVA test). This has been greatly facilitated by the completion of the genome sequences of M. tuberculosis, M. bovis and BCG Pasteur and the subsequent application of comparative genome and transcriptome analysis to define DIVA antigens that complemented the prototype DIVA antigens ESAT-6 and CFP-10 by increasing their test sensitivity. Finally, we present an up-date of our current approaches in this area.
AuthorsMartin Vordermeier, Stephen V Gordon, R Glyn Hewinson
JournalVeterinary microbiology (Vet Microbiol) Vol. 151 Issue 1-2 Pg. 8-13 (Jul 05 2011) ISSN: 1873-2542 [Electronic] Netherlands
PMID21411245 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
CopyrightCrown Copyright © 2011. Published by Elsevier B.V. All rights reserved.
Chemical References
  • Antigens, Bacterial
  • Tuberculosis Vaccines
Topics
  • Animals
  • Antigens, Bacterial (genetics, immunology)
  • Cattle (microbiology)
  • Comparative Genomic Hybridization
  • Diagnosis, Differential
  • Gene Expression Profiling
  • Genome, Bacterial
  • Mycobacterium bovis (genetics, immunology)
  • Tuberculosis Vaccines (administration & dosage)
  • Tuberculosis, Bovine (diagnosis, immunology, prevention & control)
  • United Kingdom

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: