用标准化多参数流式细胞术分析人类全血的深层免疫表型。

IF 3.7 Q2 GENETICS & HEREDITY
Phenomics (Cham, Switzerland) Pub Date : 2023-02-23 eCollection Date: 2023-06-01 DOI:10.1007/s43657-022-00092-9
Jian Gao, Yali Luo, Helian Li, Yiran Zhao, Jialin Zhao, Xuling Han, Jingxuan Han, Huiqin Lin, Feng Qian
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引用次数: 0

摘要

免疫表型对于理解免疫系统在健康和疾病中的作用至关重要。高通量流式细胞术已被广泛用于在单细胞水平上揭示免疫细胞组成和功能的变化。在这里,我们描述了六个优化的11色流式细胞仪面板,用于人类全血的深层免疫表型。共选择了51种易于获得和验证的表面抗体,以在单一测定中鉴定关键免疫细胞群并评估其功能状态。有效流式细胞术数据分析的门控策略包含在方案中。为了确保数据的可重复性,我们分三部分提供了详细的程序,包括(1)仪器表征和检测器增益优化,(2)抗体滴定和样品染色,以及(3)数据采集和质量检查。这种标准化的方法已经应用于各种捐赠者,以更好地了解人类免疫系统的复杂性。补充信息:在线版本包含补充材料,请访问10.1007/s43657-022-00092-9。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses.

Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses.

Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses.

Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses.

Immunophenotyping is proving crucial to understanding the role of the immune system in health and disease. High-throughput flow cytometry has been used extensively to reveal changes in immune cell composition and function at the single-cell level. Here, we describe six optimized 11-color flow cytometry panels for deep immunophenotyping of human whole blood. A total of 51 surface antibodies, which are readily available and validated, were selected to identify the key immune cell populations and evaluate their functional state in a single assay. The gating strategies for effective flow cytometry data analysis are included in the protocol. To ensure data reproducibility, we provide detailed procedures in three parts, including (1) instrument characterization and detector gain optimization, (2) antibody titration and sample staining, and (3) data acquisition and quality checks. This standardized approach has been applied to a variety of donors for a better understanding of the complexity of the human immune system.

Supplementary information: The online version contains supplementary material available at 10.1007/s43657-022-00092-9.

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