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反相蛋白质阵列:技术、应用、数据处理与整合

Reverse-Phase Protein Array: Technology, Application, Data Processing, and Integration.

作者信息

Coarfa Cristian, Grimm Sandra L, Rajapakshe Kimal, Perera Dimuthu, Lu Hsin-Yi, Wang Xuan, Christensen Kurt R, Mo Qianxing, Edwards Dean P, Huang Shixia

机构信息

Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas, USA.

Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA; and.

出版信息

J Biomol Tech. 2021 Jan 15. doi: 10.7171/jbt.2021-3202-001.

Abstract

Reverse-phase protein array (RPPA) is a high-throughput antibody-based targeted proteomics platform that can quantify hundreds of proteins in thousands of samples derived from tissue or cell lysates, serum, plasma, or other body fluids. Protein samples are robotically arrayed as microspots on nitrocellulose-coated glass slides. Each slide is probed with a specific antibody that can detect levels of total protein expression or post-translational modifications, such as phosphorylation as a measure of protein activity. Here we describe workflow protocols and software tools that we have developed and optimized for RPPA in a core facility setting that includes sample preparation, microarray mapping and printing of protein samples, antibody labeling, slide scanning, image analysis, data normalization and quality control, data reporting, statistical analysis, and management of data. Our RPPA platform currently analyzes ∼240 validated antibodies that primarily detect proteins in signaling pathways and cellular processes that are important in cancer biology. This is a robust technology that has proven to be of value for both validation and discovery proteomic research and integration with other omics data sets.

摘要

反相蛋白质阵列(RPPA)是一种基于抗体的高通量靶向蛋白质组学平台,可对源自组织或细胞裂解物、血清、血浆或其他体液的数千个样本中的数百种蛋白质进行定量分析。蛋白质样本通过机器人技术作为微点排列在硝酸纤维素包被的载玻片上。每张载玻片用一种特异性抗体进行检测,该抗体可检测总蛋白表达水平或翻译后修饰,如作为蛋白质活性指标的磷酸化水平。在此,我们描述了在核心设施环境中为RPPA开发和优化的工作流程协议和软件工具,包括样品制备、蛋白质样本的微阵列定位和打印、抗体标记、载玻片扫描、图像分析、数据归一化和质量控制、数据报告、统计分析以及数据管理。我们的RPPA平台目前分析约240种经过验证的抗体,这些抗体主要检测癌症生物学中重要的信号通路和细胞过程中的蛋白质。这是一项强大的技术,已被证明在验证和发现蛋白质组学研究以及与其他组学数据集整合方面具有价值。

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