Systems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Biology (Basel). 2014 Apr 16;3(2):320-32. doi: 10.3390/biology3020320.
With the advent of the "-omics" era, biological research has shifted from functionally analyzing single proteins to understanding how entire protein networks connect and adapt to environmental cues. Frequently, pathological processes are initiated by a malfunctioning protein network rather than a single protein. It is therefore crucial to investigate the regulation of proteins in the context of a pathway first and signaling network second. In this study, we demonstrate that a quantitative interaction proteomic approach, combining immunoprecipitation, in-solution digestion and label-free quantification mass spectrometry, provides data of high accuracy and depth. This protocol is applicable, both to tagged, exogenous and untagged, endogenous proteins. Furthermore, it is fast, reliable and, due to a label-free quantitation approach, allows the comparison of multiple conditions. We further show that we are able to generate data in a medium throughput fashion and that we can quantify dynamic interaction changes in signaling pathways in response to mitogenic stimuli, making our approach a suitable method to generate data for system biology approaches.
随着“组学”时代的到来,生物研究已经从功能分析单个蛋白质转变为理解整个蛋白质网络如何连接和适应环境线索。通常,病理过程是由蛋白质网络的故障而不是单个蛋白质引发的。因此,首先研究蛋白质在途径中的调节,其次是信号网络至关重要。在这项研究中,我们证明了一种定量相互作用蛋白质组学方法,结合免疫沉淀、溶液消化和无标记定量质谱,提供了高精度和深度的数据。该方案既适用于标记的、外源性和未标记的、内源性蛋白质。此外,它快速、可靠,并且由于采用无标记定量方法,允许比较多种条件。我们进一步表明,我们能够以中通量的方式生成数据,并且能够量化对有丝分裂刺激的信号通路中的动态相互作用变化,使我们的方法成为生成适用于系统生物学方法的数据的合适方法。