Urbanowska T, Mangialaio S, Hartmann C, Legay F
Marker and Assay Development, Novartis Pharma, Basel, Switzerland.
Cell Biol Toxicol. 2003 Jun;19(3):189-202. doi: 10.1023/a:1024729526867.
Most biological processes are mediated by complex networks of molecular interactions involving proteins. The analysis of protein expression in biological samples is especially important in the identification and monitoring of biomarkers for disease progression and therapeutic endpoints. In this paper, the development of a protein microarray format for multiplexed quantitative analysis of several potential markers for rheumatoid arthritis (RA) is described. Development of a high-performance protein microarray system depends on several key parameters such as surface chemistry, capture agents, immobilization technology, and methods used for signal detection and quantification. Several technical possibilities were investigated and compared: poly-L-lysine versus self-assembled monolayer of octadecyl phosphoric acid ester for surface chemistries; noncontact piezoelectric versus contact printing technology for antibody deposition; CCD camera capture versus fluorescent scanning for image detection; and the concentration of coating antibody. On the basis of reproducibility, signal-to-noise ratio, and sensitivity we have selected self-assembled monolayer, noncontact piezoelectric printer, and high-read-out fluorescence scanning for our microarray format. This format was used to perform multiplexed quantitative analysis of several potential markers of disease progression of rheumatoid arthritis: IL-1beta, IL-6, IL-8, MCP-1, and SAA. Some assays, such as MCP-1, provided a working range that covered physiologically relevant concentrations. Other assays, such as IL-6 and SAA, lacked sensitivity or were too sensitive for measuring biological concentrations, respectively. The results described demonstrate the applicability of protein microarrays to monitor RA markers; however, sandwich assay methodologies need to be further optimized to measure the appropriate biological ranges of these markers on one chip.
大多数生物过程是由涉及蛋白质的复杂分子相互作用网络介导的。生物样品中蛋白质表达的分析对于疾病进展和治疗终点的生物标志物的鉴定和监测尤为重要。本文描述了一种用于类风湿性关节炎(RA)几种潜在标志物多重定量分析的蛋白质微阵列形式的开发。高性能蛋白质微阵列系统的开发取决于几个关键参数,如表面化学、捕获剂、固定技术以及用于信号检测和定量的方法。研究并比较了几种技术可能性:表面化学方面,聚-L-赖氨酸与十八烷基磷酸酯自组装单层;抗体沉积方面,非接触式压电打印与接触式打印技术;图像检测方面,电荷耦合器件(CCD)相机捕获与荧光扫描;以及包被抗体的浓度。基于重现性、信噪比和灵敏度,我们为微阵列形式选择了自组装单层、非接触式压电打印机和高读出荧光扫描。这种形式用于对类风湿性关节炎疾病进展的几种潜在标志物进行多重定量分析:白细胞介素-1β(IL-1β)、白细胞介素-6(IL-6)、白细胞介素-8(IL-8)、单核细胞趋化蛋白-1(MCP-1)和血清淀粉样蛋白A(SAA)。一些检测方法,如MCP-1,提供了涵盖生理相关浓度的工作范围。其他检测方法,如IL-6和SAA,分别缺乏灵敏度或对测量生物浓度过于敏感。所描述的结果证明了蛋白质微阵列在监测RA标志物方面的适用性;然而,夹心检测方法需要进一步优化,以便在一个芯片上测量这些标志物的适当生物范围。