Metabolic profiling of antigen-specific CD8+ T cells by spectral flow cytometry.

IF 4.5 Q1 BIOCHEMICAL RESEARCH METHODS
Nils Mülling, J Fréderique de Graaf, Graham A Heieis, Kristina Boss, Benjamin Wilde, Bart Everts, Ramon Arens
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引用次数: 0

Abstract

Cytotoxic CD8+ T cells are essential mediators of immune responses against viral infections and tumors. Upon antigen encounter, antigen-specific CD8+ T cells undergo clonal expansion and produce effector cytokines, processes that require dynamic metabolic adaptation. However, profiling antigen-specific T cells at single-cell resolution remains technically challenging. We present a spectral flow cytometry-based workflow enabling metabolic profiling of antigen-specific CD8+ T cells identified via major histocompatibility complex (MHC) class I tetramers or CD137 upregulation. The approach integrates the analysis of metabolic protein expression to infer pathway activity, uptake of fluorescent probes to measure functional metabolism and metabolite utilization, and assays evaluating cellular energy metabolism. Applied to human and mouse samples, this method defined the metabolic profiles of cytomegalovirus-, SARS-CoV-2-, and tumor-specific CD8+ T cells across distinct activation states and tissues. By detailing each component of the workflow, we provide practical guidance for applying metabolic spectral flow cytometry to dissect disease mechanisms and therapeutic responses.

用光谱流式细胞术分析抗原特异性CD8+ T细胞的代谢谱。
细胞毒性CD8+ T细胞是抗病毒感染和肿瘤免疫反应的重要介质。当遇到抗原时,抗原特异性CD8+ T细胞进行克隆扩增并产生效应细胞因子,这一过程需要动态代谢适应。然而,在单细胞分辨率上分析抗原特异性T细胞在技术上仍然具有挑战性。我们提出了一种基于光谱流式细胞术的工作流程,可以通过主要组织相容性复合体(MHC) I类四聚体或CD137上调来鉴定抗原特异性CD8+ T细胞的代谢谱。该方法结合了代谢蛋白表达分析来推断途径活性,荧光探针的摄取来测量功能代谢和代谢物的利用,以及评估细胞能量代谢的分析。该方法应用于人类和小鼠样本,确定了巨细胞病毒、SARS-CoV-2和肿瘤特异性CD8+ T细胞在不同激活状态和组织中的代谢谱。通过详细介绍工作流程的每个组成部分,我们为应用代谢光谱流式细胞术解剖疾病机制和治疗反应提供实用指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cell Reports Methods
Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
111 days
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