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用于前瞻性图像分析的免疫染色优化

Optimization of Immunostaining for Prospective Image Analysis.

作者信息

Lawrence Scott M, Golubeva Yelena G

机构信息

Pharmacodynamics Assay Section (PADIS), Laboratory of Human Toxicology and Pharmacology, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA.

MedImmune, Gaithersburg, MD, USA.

出版信息

Methods Mol Biol. 2017;1606:235-263. doi: 10.1007/978-1-4939-6990-6_16.

Abstract

Biomarker discovery is a crucial part of the fast developing field of personalized medicine. Antibody-based techniques including immunostaining of tissue samples are widely used for biomarker evaluation in preclinical and clinical studies. When used in conjunction with robust image analysis methods, it provides a powerful means to assess biomarker modulation, toxicity, and patient response to targeted agents. Here, we describe the optimization of immunofluorescent (IF) staining protocols and a sample IF multiplex protocol suitable for colocalization image analysis.

摘要

生物标志物发现是快速发展的个性化医疗领域的关键部分。基于抗体的技术,包括组织样本的免疫染色,在临床前和临床研究中被广泛用于生物标志物评估。当与强大的图像分析方法结合使用时,它提供了一种强大的手段来评估生物标志物调节、毒性以及患者对靶向药物的反应。在此,我们描述了免疫荧光(IF)染色方案的优化以及一种适用于共定位图像分析的样本IF多重方案。

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