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高维荧光细胞术

High-Dimensional Fluorescence Cytometry.

作者信息

Ashhurst Thomas Myles, Smith Adrian Lloyd, King Nicholas Jonathan Cole

机构信息

Viral Immunopathology Laboratory, Discipline of Pathology, School of Medical Sciences, Sydney Medical School, The University of Sydney, Sydney, Australia.

Sydney Cytometry Facility, The University of Sydney and Centenary Institute, Sydney, Australia.

出版信息

Curr Protoc Immunol. 2017 Nov 1;119:5.8.1-5.8.38. doi: 10.1002/cpim.37.

Abstract

The immune system consists of a complex network of cells, all expressing a wide range of surface and/or intracellular proteins. Using flow cytometry, these cells can be analyzed by labeling with fluorophore-conjugated antibodies. The recent expansion of fluorescence flow cytometry technology, in conjunction with the ever-expanding understanding of the complexity of the immune system, has led to the generation of larger high-dimensional fluorescence flow cytometry panels. However, as panel size and complexity increases, so too does the difficulty involved in constructing high-quality panels, in addition to the challenges of analyzing such high-dimensional datasets. As such, this unit seeks to review the key principles involved in building high-dimensional panels, as well as to guide users through the process of building and analyzing quality panels. Here, cytometer configuration, fluorophore brightness, spreading error, antigen density, choosing the best conjugates, titration, optimization, and data analysis will all be addressed. © 2017 by John Wiley & Sons, Inc.

摘要

免疫系统由一个复杂的细胞网络组成,所有细胞都表达多种表面和/或细胞内蛋白质。使用流式细胞术,可以通过用荧光团偶联抗体标记来分析这些细胞。最近荧光流式细胞术技术的扩展,以及对免疫系统复杂性的不断深入理解,导致了更大的高维荧光流式细胞术面板的产生。然而,随着面板大小和复杂性的增加,构建高质量面板所涉及的难度也随之增加,此外分析此类高维数据集也面临挑战。因此,本单元旨在回顾构建高维面板所涉及的关键原则,并指导用户完成构建和分析高质量面板的过程。这里将涉及细胞仪配置、荧光团亮度、扩散误差、抗原密度、选择最佳偶联物、滴定、优化和数据分析。© 2017约翰威立国际出版公司。

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