作者: Laurence Josset , Jennifer Tisoncik-Go , Michael G Katze , None
DOI: 10.1016/J.VIRUSRES.2013.02.011
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摘要: The dynamics of H5N1 influenza virus pathogenesis are multifaceted and can be seen as an emergent property that cannot comprehended without looking at the system a whole. In past years, most high-throughput studies on H5N1-host interactions have focused host transcriptomic response, cellular or lung tissue level. These pointed out magnitude innate immune response cell infiltration is critical to pathogenesis. However, viral-host multidimensional advances in technologies creating new possibilities systematically measure additional levels 'omic data (e.g. proteomic, metabolomic, RNA profiling) each temporal spatial scale (from single organism) response. Natural genetic variation represents another dimension determines Systems biology models disease aim understanding predicting through integration these different dimensions by using intensive computational modeling. this review, we describe importance for providing more comprehensive view infection mathematical being developed integrate data. This review provides roadmap what needs done future strategies should used build global model It time systems take center stage field moves toward virus-host interactions.