Tegnér Jesper, Nilsson Roland, Bajic Vladimir B, Björkegren Johan, Ravasi Timothy
Unit of Computational Medicine, King Gustaf V Research Institute, Department of Medicine, Karolinska Institute, SE-171 76 Stockholm, Sweden.
Cell Immunol. 2006 Dec;244(2):105-9. doi: 10.1016/j.cellimm.2007.01.010. Epub 2007 Apr 11.
Systems Biology has emerged as an exciting research approach in molecular biology and functional genomics that involves a systematic use of genomic, proteomic, and metabolomic technologies for the construction of network-based models of biological processes. These endeavors, collectively referred to as systems biology establish a paradigm by which to systematically interrogate, model, and iteratively refine our knowledge of the regulatory events within a cell. Here, we present a new systems approach, integrating DNA and transcript expression information, specifically designed to identify transcriptional networks governing the macrophage immune response to lipopolysaccharide (LPS). Using this approach, we are not only able to infer a global macrophage transcriptional network, but also time-specific sub-networks that are dynamically active across the LPS response. We believe that our system biological approach could be useful for identifying other complex networks mediating immunological responses.
系统生物学已成为分子生物学和功能基因组学中一种令人兴奋的研究方法，它涉及系统地运用基因组学、蛋白质组学和代谢组学技术来构建基于网络的生物过程模型。这些努力统称为系统生物学，建立了一种范式，通过该范式可以系统地探究、建模并迭代完善我们对细胞内调控事件的认识。在此，我们提出一种整合DNA和转录本表达信息的新系统方法，该方法专门设计用于识别调控巨噬细胞对脂多糖（LPS）免疫反应的转录网络。使用这种方法，我们不仅能够推断出一个全局的巨噬细胞转录网络，还能推断出在LPS反应过程中动态活跃的特定时间子网。我们相信，我们的系统生物学方法可能有助于识别介导免疫反应的其他复杂网络。
