Submitted to: Research Workers in Animal Diseases Conference Proceedings
Publication Type: Abstract only
Publication Acceptance Date: 9/24/2002
Publication Date: 11/10/2002
Citation: MILLER, L.C., FOX, J.M. DYNAMICS OF GENE EXPRESSION IN PORCINE ARTERIVIRUS INFECTED MARC-145 CELLS. RESEARCH WORKERS IN ANIMAL DISEASES CONFERENCE PROCEEDINGS. 2002. Abstract No. 101P. Interpretive Summary:
Technical Abstract: Respiratory viral infections caused by arteriviruses, such as porcine reproductive and respiratory syndrome virus (recently renamed as porcine arterivirus [PAV]), within the U.S. accounts for up to 15-20% of the economic losses yearly in the swine industry. In addition, many of the respiratory bacterial infections present in swine result from impairment of pulmonary defense mechanisms by PAV. The overall objective is to determine gene-expression responses by host cells to respiratory viral infections in order to: understand the virus-cell interactions; identify host genetic responses to infection and clearance of respiratory viral infections; and analyze identified genes in terms of the dynamics of their response over time courses and upon various cellular treatments. Achievement of this objective will result in identification of host components and their biological mechanisms across populations of animals. Using microarray technology, gene-expression profiles of MARC-145 cell response to PAV infection were examined. Preliminary results using a (Incyte Genomics, St. Louis, Mo.) human gene chip have demonstrated that there are very specific gene-expression profiles to PAV infection of MARC-145 cells. It was found that with time there are outliers to linear RNA levels indicating changes in gene expression by more than two-fold between 10 and 24 hours post-infection. These findings have indicated to us that microarray hybridization presents limitations that may not allow us to identify all the responsive genes. Serial Analysis of Gene Expression (SAGE) does not have such limitations and permits us to obtain a detailed analysis of the PAV effect on MARC-145 cells. We are using SAGE for comparative gene-expression profiling between PAV-infected and -uninfected cells to identify responsive genes. Detailed examination of these molecular responses and the comparison between virus isolates will provide critical knowledge to discern the mechanism of cell impairment by PAV.