Reverse Phase Protein Arrays-Quantitative Assessment of Multiple Biomarkers in Biopsies for Clinical Use.

Stefanie Boellner, Karl-Friedrich Becker
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引用次数: 60

Abstract

Reverse Phase Protein Arrays (RPPA) represent a very promising sensitive and precise high-throughput technology for the quantitative measurement of hundreds of signaling proteins in biological and clinical samples. This array format allows quantification of one protein or phosphoprotein in multiple samples under the same experimental conditions at the same time. Moreover, it is suited for signal transduction profiling of small numbers of cultured cells or cells isolated from human biopsies, including formalin fixed and paraffin embedded (FFPE) tissues. Owing to the much easier sample preparation, as compared to mass spectrometry based technologies, and the extraordinary sensitivity for the detection of low-abundance signaling proteins over a large linear range, RPPA have the potential for characterization of deregulated interconnecting protein pathways and networks in limited amounts of sample material in clinical routine settings. Current aspects of RPPA technology, including dilution curves, spotting, controls, signal detection, antibody validation, and calculation of protein levels are addressed.

Abstract Image

Abstract Image

Abstract Image

反相蛋白质阵列-临床活检中多种生物标志物的定量评估。
逆相蛋白阵列(RPPA)是一种非常有前途的敏感和精确的高通量技术,用于定量测量生物和临床样品中的数百种信号蛋白。该阵列格式允许在同一实验条件下同时定量多个样品中的一种蛋白质或磷蛋白。此外,它适用于少量培养细胞或从人体活检中分离的细胞的信号转导分析,包括福尔马林固定和石蜡包埋(FFPE)组织。由于与基于质谱的技术相比,样品制备要容易得多,并且在大线性范围内检测低丰度信号蛋白具有非凡的灵敏度,因此RPPA具有在临床常规设置中有限数量的样品材料中表征解除管制的相互连接的蛋白质途径和网络的潜力。RPPA技术的当前方面,包括稀释曲线,斑点,控制,信号检测,抗体验证和蛋白质水平的计算。
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来源期刊
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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