Tuggle C K, Bearson S M D, Uthe J J, Huang T H, Couture O P, Wang Y F, Kuhar D, Lunney J K, Honavar V
Department of Animal Science, and Center for Integrated Animal Genomics, 2255 Kildee Hall, Iowa State University, Ames, IA 50010, United States.
Vet Immunol Immunopathol. 2010 Dec 15;138(4):280-91. doi: 10.1016/j.vetimm.2010.10.006. Epub 2010 Oct 14.
Technological developments in both the collection and analysis of molecular genetic data over the past few years have provided new opportunities for an improved understanding of the global response to pathogen exposure. Such developments are particularly dramatic for scientists studying the pig, where tools to measure the expression of tens of thousands of transcripts, as well as unprecedented data on the porcine genome sequence, have combined to expand our abilities to elucidate the porcine immune system. In this review, we describe these recent developments in the context of our work using primarily microarrays to explore gene expression changes during infection of pigs by Salmonella. Thus while the focus is not a comprehensive review of all possible approaches, we provide links and information on both the tools we use as well as alternatives commonly available for transcriptomic data collection and analysis of porcine immune responses. Through this review, we expect readers will gain an appreciation for the necessary steps to plan, conduct, analyze and interpret the data from transcriptomic analyses directly applicable to their research interests.
在过去几年中，分子遗传数据收集与分析方面的技术发展为更好地理解全球对病原体暴露的反应提供了新机遇。对于研究猪的科学家而言，此类进展尤为显著，在猪的研究中，能够测量数以万计转录本表达的工具以及猪基因组序列的空前数据，共同拓展了我们阐明猪免疫系统的能力。在本综述中，我们结合自身主要利用微阵列来探究猪感染沙门氏菌期间基因表达变化的研究工作，描述这些最新进展。因此，尽管重点并非对所有可能方法进行全面综述，但我们提供了关于我们所使用工具以及猪免疫反应转录组数据收集与分析常用替代方法的链接和信息。通过本综述，我们期望读者能够了解直接适用于其研究兴趣的转录组分析数据规划、开展、分析和解读所需的必要步骤。
