OMIP-102:人体免疫系统 50 色表型,深入评估 T 细胞和树突状细胞

IF 2.5 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Andrew J. Konecny, Peter L. Mage, Aaron J. Tyznik, Martin Prlic, Florian Mair
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引用次数: 0

摘要

我们报告了为深入分析人体血液和组织中的免疫系统而设计的 50 色光谱流式细胞仪优化面板的开发情况,目的是最大限度地利用现有的流式细胞仪平台收集信息。我们使用外周血单核细胞(PBMCs)建立并测试了这一面板,但也加入了 CD45,以便将来用于分析人体组织样本。该面板包含了所有主要免疫细胞亚群的系标志物,以及一套广泛的表型标志物,重点关注 T 细胞和树突状细胞 (DC) 的活化和分化状态。我们概述了同时测量如此大量的蛋白质所能获得的生物学洞察力,并提出这种方法为全面探索细胞数量有限的人体样本的免疫状态提供了独特的机会。值得注意的是,我们测试了该面板与细胞分拣的兼容性,以便于进一步的下游应用。此外,为了便于在不同组群和样本中广泛使用这种面板,我们还建立了一个经过修剪的 45 色版本,可用于不同的光谱细胞仪平台。最后,为了生成这种面板,我们不仅利用了现有的面板设计指南,还开发了新的指标来系统地确定 50 种荧光色素的最佳组合,并在 50 色非混合矩阵的背景下评估特定荧光色素的分辨率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

OMIP-102: 50-color phenotyping of the human immune system with in-depth assessment of T cells and dendritic cells

OMIP-102: 50-color phenotyping of the human immune system with in-depth assessment of T cells and dendritic cells

We report the development of an optimized 50-color spectral flow cytometry panel designed for the in-depth analysis of the immune system in human blood and tissues, with the goal of maximizing the amount of information that can be collected using currently available flow cytometry platforms. We established and tested this panel using peripheral blood mononuclear cells (PBMCs), but included CD45 to enable its future use for the analysis of human tissue samples. The panel contains lineage markers for all major immune cell subsets, and an extensive set of phenotyping markers focused on the activation and differentiation status of the T cell and dendritic cell (DC) compartment. We outline the biological insight that can be gained from the simultaneous measurement of such a large number of proteins and propose that this approach provides a unique opportunity for the comprehensive exploration of the immune status in human samples with a limited number of cells. Of note, we tested the panel to be compatible with cell sorting for further downstream applications. Furthermore, to facilitate the wide-spread implementation of such a panel across different cohorts and samples, we established a trimmed-down 45-color version which can be used with different spectral cytometry platforms. Finally, to generate this panel, we utilized not only existing panel design guidelines, but also developed new metrics to systematically identify the optimal combination of 50 fluorochromes and evaluate fluorochrome-specific resolution in the context of a 50-color unmixing matrix.

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来源期刊
Cytometry Part A
Cytometry Part A 生物-生化研究方法
CiteScore
8.10
自引率
13.50%
发文量
183
审稿时长
4-8 weeks
期刊介绍: Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.
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