|SUBRAMANIAM, SUGA - Michigan State University|
|BROWN, TITUS - Michigan State University|
Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 9/1/2010
Publication Date: 10/18/2010
Citation: Subramaniam, S., Brown, T.C., Cheng, H.H. 2010. Genome-wide identification of host genes directly and indirectly regulated by Marek's disease virus (MDV) oncoprotein Meq [abstract]. In: 5th International Workshop on the Molecular Pathogenesis of Marek's Disease Virus and 1st Symposium on Avian Herpesviruses, October 17-20, 2010, Athens, Georgia, p.93.
Technical Abstract: Marek’s disease virus (MDV), a naturally-occurring, oncogenic, cell-associated alpha herpesvirus, is the causative agent for Marek's disease (MD), a chicken T-cell lymphoma. Despite the use of MD vaccines, field strains of MDV continue to evolve resulting in unpredictable and spontaneous disease outbreaks. Thus, understanding the molecular basis for oncogenesis is of both fundamental and agricultural importance. MDV oncogenicity is largely attributed to the bZIP transcription factor Meq, which homodimerizes and heterodimerizes with c-Jun and other bZIP proteins. Despite this knowledge, there is limited knowledge on the mechanisms of Meq oncogenicity. Our major objective is to gain a comprehensive understanding of host genes and proteins directly and indirectly regulated by Meq. Utilizing the MSB-1 T cell line, latent MDV was reactivated with the addition of bromodeoxyuridine (BUdR). Meq expression was monitored 0, 24, 48, 96 hrs. after reactivation, and the levels of Meq significantly decreased over time (p<0.05). With this ability to regulate and synchronize MDV replication, the global view of all genes regulated by Meq in both latent and lytic phases was determined using Affymetrix chicken genome microarrays. To identify genes directly regulated by Meq, DNA fractions bound by Meq and or/c-Jun were enriched by chromatin immunoprecipitation (ChIP) using anti-Meq or anti-c-Jun antibody following by next generation sequencing. Integrating the two datasets will result in the genome-wide mapping of direct and indirect interactions of Meq with the chicken genome. Furthermore, this resulting information establishes a platform to identify novel positional candidate genes for MD resistance. The most current results will be presented.