VanMeter Amy, Signore Michele, Pierobon Mariaelena, Espina Virginia, Liotta Lance A, Petricoin Emanuel F
George Mason University, Center for Applied Proteomics and Molecular Medicine, Manassas, VA 20110, USA.
Expert Rev Mol Diagn. 2007 Sep;7(5):625-33. doi: 10.1586/14737159.7.5.625.
Mapping of protein signaling networks within tumors can identify new targets for therapy and provide a means to stratify patients for individualized therapy. Kinases are important drug targets, as such kinase network information could become the basis for development of therapeutic strategies for improving treatment outcome. An urgent clinical goal is to identify functionally important molecular networks associated with subpopulations of patients that may not respond to conventional combination chemotherapy. Reverse-phase protein microarrays are a technology platform designed for quantitative, multiplexed analysis of specific phosphorylated, cleaved, or total (phosphorylated and nonphosphorylated) forms of cellular proteins from a limited amount of sample. This class of microarray can be used to interrogate cellular samples, serum or body fluids. This review focuses on the application of reverse-phase protein microarrays for translational research and therapeutic drug target discovery.
肿瘤内蛋白质信号网络的绘制可识别新的治疗靶点,并为将患者分层以进行个体化治疗提供一种方法。激酶是重要的药物靶点,因此激酶网络信息可能成为制定改善治疗结果的治疗策略的基础。一个紧迫的临床目标是识别与可能对传统联合化疗无反应的患者亚群相关的功能重要分子网络。反相蛋白质微阵列是一种技术平台,旨在对来自有限量样品的细胞蛋白质的特定磷酸化、裂解或总(磷酸化和非磷酸化)形式进行定量、多重分析。这类微阵列可用于检测细胞样品、血清或体液。本综述重点关注反相蛋白质微阵列在转化研究和治疗药物靶点发现中的应用。