Journal of Animal Science and Technology

Korean Society of Animal Sciences and Technology (한국축산학회)
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Gene Expression Profiling in Hepatic Tissue of two Pig Breeds

  • Jang, Gul-Won (Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration) ;
  • Lee, Kyung-Tai (Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration) ;
  • Park, Jong Eun (Laboratory of Bioinformatics and Population Genetics, Department of Agricultural Biotechnology, Seoul National University) ;
  • Kim, Heebal (Laboratory of Bioinformatics and Population Genetics, Department of Agricultural Biotechnology, Seoul National University) ;
  • Kim, Tae-Hun (Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration) ;
  • Choi, Bong-Hwan (Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration) ;
  • Kim, Myung Jick (Swine Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Lim, Dajeong (Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration)
  • Received : 2012.07.19
  • Accepted : 2012.10.22
  • Published : 2012.12.31
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Abstract

Microarray analyses provide information that can be used to enhance the efficiency of livestock production. For example, microarray profiling can potentially identify the biological processes responsible for the phenotypic characteristics of porcine liver. We performed transcriptome profiling to identify differentially expressed genes (DEGs) in liver of pigs from two breeds, the Korean native pigs (KNP) and Yorkshire pigs. We correctly identified expected DEGs using factor analysis for robust microarray summarization (FARMS) and robust multi-array average (RMA) strategies. We identified 366 DEGs in liver (p<0.05, fold-change>2). We also performed functional analyses, including gene ontology and molecular network analyses. In addition, we identified the regulatory relationship between DEGs and their transcription factors using in silico and qRT-PCR analysis. Our findings suggest that DEGs and their transcription factors may have a potential role in adipogenesis and/or lipid deposition in liver tissues of two pig breeds.

Keywords

Acknowledgement

Supported by : National Institute of Animal Science

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