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淋巴瘤组织样本中的多重荧光免疫组织化学染色、成像及分析

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma.

作者信息

Hong Guo, Fan Shuangyi, Phyu The, Maheshwari Priyanka, Hoppe Michal Marek, Phuong Hoang Mai, de Mel Sanjay, Poon Michelle, Ng Siok-Bian, Jeyasekharan Anand D

机构信息

Department of Laboratory Medicine, AnSteel Group General Hospital; Cancer Science Institute of Singapore, National University of Singapore.

Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore.

出版信息

J Vis Exp. 2019 Jan 9(143). doi: 10.3791/58711.

Abstract

Immunohistochemical (IHC) methods for the in-situ analysis of protein expression by light microscopy are a powerful tool for both research and diagnostic purposes. However, the visualization and quantification of multiple antigens in a single tissue section using conventional chromogenic IHC is challenging. Multiplexed imaging is especially relevant in lymphoma research and diagnostics, where markers have to be interpreted in the context of a complex tumor microenvironment. Here we describe a protocol for multiplexed fluorescent IHC staining to enable the quantitative assessment of multiple targets in specific cell types of interest in lymphoma.The method covers aspects of antibody validation, antibody optimization, the multiplex optimization with markers of lymphoma subtypes, the staining of tissue microarray (TMA) slides, and the scanning of the slides, followed by data analysis, with specific reference to lymphoma. Using this method, scores for both the mean intensity of a marker of interest and the percentage positivity are generated to facilitate further quantitative analysis. Multiplexing minimizes sample utilization and provides spatial information for each marker of interest.

摘要

免疫组织化学(IHC)方法通过光学显微镜对蛋白质表达进行原位分析,是用于研究和诊断目的的强大工具。然而,使用传统的显色免疫组织化学在单个组织切片中对多种抗原进行可视化和定量分析具有挑战性。多重成像在淋巴瘤研究和诊断中尤为重要,因为在复杂的肿瘤微环境中必须对标志物进行解读。在这里,我们描述了一种多重荧光免疫组织化学染色方案,以能够对淋巴瘤中特定感兴趣的细胞类型中的多个靶点进行定量评估。该方法涵盖抗体验证、抗体优化、与淋巴瘤亚型标志物的多重优化、组织微阵列(TMA)玻片的染色以及玻片扫描等方面,随后进行数据分析,特别针对淋巴瘤。使用该方法,可以生成感兴趣标志物的平均强度得分和阳性百分比得分,以促进进一步的定量分析。多重检测可最大限度地减少样本使用,并为每个感兴趣的标志物提供空间信息。

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