Reverse phase protein arrays: mapping the path towards personalized medicine.

Reverse phase protein arrays: mapping the path towards personalized medicine.
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DOI:
10.1007/s40291-014-0122-3
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发表时间:
2014-12
影响因子:
4
通讯作者:
Espina V
Espina V
中科院分区:
医学3区
文献类型:
--
作者:
Gallagher RI;Espina V

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反相蛋白质阵列(RPPA)技术是从微型化免疫分析和基因微阵列技术的出现发展而来的。反相蛋白质阵列提供用于定量细胞和非细胞样品中的蛋白质及其后修饰形式的低通量或高通量方法。随着对患者定制疗法的需求增加,对精确和敏感技术的需求也在增加,以准确地描绘驱动个体患者疾病的分子电路。RPPA目前用于临床试验,用于分析和比较蛋白质信号传导途径的功能状态,无论是在肿瘤内,患者之间,还是在治疗前/后的同一患者内。RPPA通常用于在相同的实验条件下在一个阵列上定量大量样品。然而,个性化癌症医学的目标是根据患者肿瘤的分子特征设计治疗方法,这反过来又会导致更有效的治疗方法,毒性更小。因此,RPPA也正在被验证用于个体患者样本的低通量测定。这篇综述探讨了反相蛋白质阵列技术在癌症研究领域的作用,集中在其作为破译蛋白质信号网络的基本工具,其在个性化医疗的新兴作用。
Reverse phase protein array (RPPA) technology evolved from the advent of miniaturized immunoassays and gene microarray technology. Reverse phase protein arrays provide either a low throughput or high throughput methodology for quantifying proteins and their post-translationally modified forms in both cellular and non-cellular samples. As the demand for patient tailored therapies increases so does the need for precise and sensitive technology to accurately profile the molecular circuitry driving an individual patient’s disease. RPPAs are currently utilized in clinical trials for profiling and comparing the functional state of protein signaling pathways, either temporally within tumors, between patients, or within the same patients before/after treatment. RPPAs are generally employed for quantifying large numbers of samples on one array, under identical experimental conditions. However, the goal of personalized cancer medicine is to design therapies based on the molecular portrait of a patient’s tumor, which in turn result in more efficacious treatments with less toxicity. Therefore, RPPAs are also being validated for low throughput assays of individual patient samples. This review explores reverse phase protein array technology in the cancer research field, concentrating on its role as a fundamental tool for deciphering protein signaling networks and its emerging role in personalized medicine.