Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Wiley Interdiscip Rev Syst Biol Med. 2011 Mar-Apr;3(2):167-82. doi: 10.1002/wsbm.108. Epub 2010 Aug 20.
Much of the experimental data used to construct mathematical models of molecular networks are derived from in vitro measurements. However, there is increasing evidence that in vitro measurements fail to capture both the complexity and the individuality found in single, living cells. These limitations can be overcome by live cell microscopy which is evolving to enable in vivo biochemistry. Here, we survey the current capabilities of live cell microscopy and illustrate how a number of different imaging approaches could be applied to analyze a specific molecular network. We argue that incorporation of such quantitative live-cell imaging methods is critical for the progress of systems biology.
用于构建分子网络数学模型的大量实验数据均源自体外测量。然而，越来越多的证据表明，体外测量无法捕捉到单个活细胞中存在的复杂性和个体性。活细胞显微镜技术的发展克服了这些限制，使活体生物化学成为可能。在这里，我们调查了活细胞显微镜的当前能力，并举例说明了如何应用多种不同的成像方法来分析特定的分子网络。我们认为，纳入此类定量活细胞成像方法对于系统生物学的发展至关重要。
