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多色流式细胞术面板用于全面免疫分析的用户指南。

A user's guide to multicolor flow cytometry panels for comprehensive immune profiling.

机构信息

Dept. of Hematology, Copenhagen University Hospital, Rigshospitalet, Denmark; T-cells and Cancer, Experimental & Translational Immunology (XTI), Health Technology, Technical University of Denmark, Denmark.

Dept. of Hematology, Copenhagen University Hospital, Rigshospitalet, Denmark; Dept. of Clinical Medicine, University of Copenhagen, Denmark; Biotech Research and Innovation Centre, BRIC, University of Copenhagen, Denmark.

出版信息

Anal Biochem. 2021 Aug 15;627:114210. doi: 10.1016/j.ab.2021.114210. Epub 2021 May 24.

Abstract

Multicolor flow cytometry is an essential tool for studying the immune system in health and disease, allowing users to extract longitudinal multiparametric data from patient samples. The process is complicated by substantial variation in performance between each flow cytometry instrument, and analytical errors are therefore common. Here, we present an approach to overcome such limitations by applying a systematic workflow for pairing colors to markers optimized for the equipment intended to run the experiments. The workflow is exemplified by the design of four comprehensive flow cytometry panels for patients with hematological cancer. Methods for quality control, titration of antibodies, compensation, and staining of cells for obtaining optimal results are also addressed. Finally, to handle the large amounts of data generated by multicolor flow cytometry, unsupervised clustering techniques are used to identify significant subpopulations not detected by conventional sequential gating.

摘要

多色流式细胞术是研究健康和疾病中免疫系统的重要工具,它允许用户从患者样本中提取纵向多参数数据。但每个流式细胞仪之间的性能存在很大差异,因此分析错误很常见。在这里,我们提出了一种通过应用系统工作流程将颜色与针对实验中要运行的设备进行了优化的标记物进行配对的方法来克服这些限制。该工作流程通过设计四个用于血液系统癌症患者的综合流式细胞术面板来说明。还介绍了用于获得最佳结果的质量控制、抗体滴定、补偿和细胞染色的方法。最后,为了处理多色流式细胞术产生的大量数据,使用无监督聚类技术来识别传统顺序门控未检测到的重要亚群。

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