Department of Proteomics and Signal Transduction, Max-Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.
Cell Rep. 2013 Feb 21;3(2):552-66. doi: 10.1016/j.celrep.2013.01.003. Epub 2013 Jan 31.
Cancer progresses through distinct stages, and mouse models recapitulating traits of this progression are frequently used to explore genetic, morphological, and pharmacological aspects of tumor development. To complement genomic investigations of this process, we here quantify phosphoproteomic changes in skin cancer development using the SILAC mouse technology coupled to high-resolution mass spectrometry. We distill protein expression signatures from our data that distinguish between skin cancer stages. A distinct phosphoproteome of the two stages of cancer progression is identified that correlates with perturbed cell growth and implicates cell adhesion as a major driver of malignancy. Importantly, integrated analysis of phosphoproteomic data and prediction of kinase activity revealed PAK4-PKC/SRC network to be highly deregulated in SCC but not in papilloma. This detailed molecular picture, both at the proteome and phosphoproteome level, will prove useful for the study of mechanisms of tumor progression.
癌症经历不同的阶段,经常使用模拟这些进展特征的小鼠模型来探索肿瘤发展的遗传、形态和药理学方面。为了补充对这一过程的基因组研究,我们使用 SILAC 小鼠技术结合高分辨率质谱定量测定皮肤癌发展中的磷酸蛋白质组变化。我们从数据中提取出区分皮肤癌阶段的蛋白质表达特征。确定了癌症进展的两个阶段的独特磷酸蛋白质组,与扰乱的细胞生长相关,并暗示细胞黏附是恶性的主要驱动因素。重要的是,磷酸蛋白质组数据的综合分析和激酶活性的预测表明,在 SCC 中 PAK4-PKC/SRC 网络高度失调,但在乳头状瘤中则不然。这种详细的分子图谱,无论是在蛋白质组还是磷酸蛋白质组水平上,对于肿瘤进展机制的研究都将非常有用。