OMIP-114:一种36色光谱流式细胞仪面板,用于详细分析人体小血容量中T细胞的激活和调节。

IF 2.5 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Marie-Theres Thieme-Ehlert, Thomas Jacobs, Johannes Brandi, Maria Sophia Mackroth
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引用次数: 0

摘要

这种36色流式细胞仪面板旨在表征多个淋巴细胞区室,重点关注T细胞,它们的记忆亚群和人类全血样本中的免疫检查点。在临床环境中,用于科学研究的患者血量通常是有限的。当使用幼儿样本或在资源贫乏的环境中工作时,这种限制可能会进一步加剧,这两种情况在疟疾和传染病研究中都很常见。因此,该面板旨在最大限度地利用流式细胞术从200 μL全血中获得信息。该面板允许在T细胞,以及B细胞和NK细胞内的主要亚群的表型表征。它包括分析记忆亚群、调节性T细胞亚群和T滤泡辅助细胞的标记物。此外,还包括活化和分化、效应功能、衰竭和免疫检查点的表面和细胞内标记物,从而可以详细描述主要淋巴细胞亚群,特别是T细胞。该小组为分析从疟疾患者获得的新鲜人体血液样本进行了优化,但也可适用于分析分离的PBMC或组织样本,以及来自其他感染性或炎症性疾病患者的样本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OMIP-114: A 36-Color Spectral Flow Cytometry Panel for Detailed Analysis of T Cell Activation and Regulation in Small Human Blood Volumes.

This 36-color flow cytometry panel is designed to characterize multiple lymphocyte compartments, with a focus on T cells, their memory subpopulations, and immune checkpoints in human whole blood samples. In clinical settings, the amount of blood available from patients for scientific research is often limited. This restriction may be further exacerbated when working with samples from small children or in resource-poor settings-both scenarios commonly encountered in malaria and infectious disease research. Accordingly, this panel is designed to maximize the information that can be obtained from as little as 200 μL whole blood using flow cytometry. This panel allows a phenotypic characterization of the main subpopulations within T cells, as well as B cells and NK cells. It includes markers for the analysis of memory subpopulations, regulatory T cell subsets, and T follicular helper cells. Furthermore, surface and intracellular markers for activation and differentiation, effector functions, exhaustion, and immune checkpoints are included, allowing detailed characterization of the main lymphocyte subsets, in particular T cells. This panel was optimized for the analysis of fresh human blood samples obtained from malaria patients, but it may be adapted to the analysis of isolated PBMC or tissue samples, as well as samples from patients with other infectious or inflammatory diseases.

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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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