Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Nat Rev Cancer. 2010 Sep;10(9):618-29. doi: 10.1038/nrc2900. Epub 2010 Aug 19.
Advances in the generation and interpretation of proteomics data have spurred a transition from focusing on protein identification to functional analysis. Here we review recent proteomics results that have elucidated new aspects of the roles and regulation of signal transduction pathways in cancer using the epidermal growth factor receptor (EGFR), ERK and breakpoint cluster region (BCR)-ABL1 networks as examples. The emerging theme is to understand cancer signalling as networks of multiprotein machines which process information in a highly dynamic environment that is shaped by changing protein interactions and post-translational modifications (PTMs). Cancerous genetic mutations derange these protein networks in complex ways that are tractable by proteomics.
蛋白质组学数据的产生和解释方面的进展促使人们从关注蛋白质鉴定转向功能分析。在这里，我们以表皮生长因子受体 (EGFR)、ERK 和断裂点簇区 (BCR)-ABL1 网络为例，综述了最近的蛋白质组学研究结果，这些结果阐明了信号转导途径在癌症中的作用和调节的新方面。一个新出现的主题是将癌症信号理解为多蛋白机器网络，这些机器在一个由不断变化的蛋白质相互作用和翻译后修饰 (PTMs) 塑造的高度动态环境中处理信息。致癌基因突变以复杂的方式扰乱这些蛋白质网络，这些复杂的方式可以通过蛋白质组学来研究。
