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ARS Home » Northeast Area » Beltsville, Maryland (BHNRC) » Beltsville Human Nutrition Research Center » Diet, Genomics and Immunology Laboratory » Research » Publications at this Location » Publication #211982

Title: The Porcine Immunology and Nutrition Resource Database

item Dawson, Harry
item Guidry, Catherine
item Vangimalla, Vandana
item Urban, Joseph

Submitted to: Veterinary Immunology International Symposium
Publication Type: Abstract Only
Publication Acceptance Date: 5/8/2007
Publication Date: 8/15/2007
Citation: Dawson, H.D., Guidry, C.A., Vangimalla, V.R., Urban Jr, J.F. 2007. The porcine immunology and nutrition resource database. Veterinary Immunology International Symposium. p15.

Interpretive Summary:

Technical Abstract: Diverse genomics-based databases have been developed to facilitate research with human and rodent models. Current porcine gene databases, however, lack the nutritional and immunological orientation and robust annotation to design effective molecular tools to study relevant pig models. To address this need, a comprehensive literature-based survey was conducted that first identified genes related to nutrition and which were associated with macro- and micronutrient metabolism, atherosclerosis, diabetes, and obesity. It also selected genes related to immunology and associated with allergy and asthma; chemokines, cytokines, and their receptors; dendritic, mast and NK cells; type 1 IFN-induced proteins; inflammation; toll receptor signaling pathways; and B and T cell activation and development. The process identified 3,035 candidate genes used to select potential porcine homologues by searching multiple online sources of porcine gene information. We then cloned full or partial length sequences for 85 missing high priority target genes, and developed real time PCR assays for 1,350 high priority genes of particular interest. As a result, the database also contains comprehensive information on antibody availability and published porcine gene and protein expression data. This unique database links gene expression to gene function, identifies related gene pathways, and connects to other porcine gene databases.