Department of Chemistry, The University of Chicago, 929 E. 57th Street, Chicago, IL, 60637, USA; Institute for Genomics and Systems Biology, The University of Chicago, 929 E. 57th Street, Chicago, IL, 60637, USA.
Department of Chemistry, The University of Chicago, 929 E. 57th Street, Chicago, IL, 60637, USA; Institute for Genomics and Systems Biology, The University of Chicago, 929 E. 57th Street, Chicago, IL, 60637, USA.
Curr Opin Chem Biol. 2020 Feb;54:76-84. doi: 10.1016/j.cbpa.2020.02.001. Epub 2020 Mar 5.
Recent advances in -omic profiling technologies have ushered in an era where we no longer want to merely measure the presence or absence of a biomolecule of interest, but instead hope to understand its function and interactions within larger signaling networks. Here, we review several emerging proteomic technologies capable of detecting protein interaction networks in live cells and their integration to draft holistic maps of proteins that respond to diverse stimuli, including bioactive small molecules. Moreover, we provide a conceptual framework to combine so-called 'top-down' and 'bottom-up' interaction profiling methods and ensuing proteomic profiles to directly identify binding targets of small molecule ligands, as well as for unbiased discovery of proteins and pathways that may be directly bound or influenced by those first responders. The integrated, interaction-based profiling methods discussed here have the potential to provide a unique and dynamic view into cellular signaling networks for both basic and translational biological studies.
近年来,组学分析技术的进步开创了一个新纪元,我们不再仅仅满足于检测感兴趣的生物分子的存在或缺失,而是希望了解其在更大的信号网络中的功能和相互作用。在这里,我们综述了几种新兴的蛋白质组学技术,这些技术能够在活细胞中检测蛋白质相互作用网络,并将其整合起来,构建出对各种刺激(包括生物活性小分子)有响应的蛋白质的整体图谱。此外,我们提供了一个概念框架,用于结合所谓的“自上而下”和“自下而上”的相互作用分析方法以及随后的蛋白质组学图谱,以直接鉴定小分子配体的结合靶标,以及用于无偏发现可能直接被这些第一反应者结合或影响的蛋白质和途径。这里讨论的基于相互作用的综合分析方法有可能为基础和转化生物学研究提供对细胞信号网络的独特而动态的观察。