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OMIP-118: A 38-Marker Spectral Flow Cytometry Panel to Assess Human Regulatory T Cell Phenotype and Lineage Plasticity OMIP-118: 38个标记光谱流式细胞术小组评估人类调节性T细胞表型和谱系可塑性。
IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-05 DOI: 10.1002/cyto.a.24966
Nilika Bhattacharya, Collin Jugler, Jessica C. Hill, Kade R. Copple, Sameena Nikhat, Mohsen Khosravi-Maharlooei, Casey R. Ager

We report the optimization of a 38-parameter spectral flow cytometry panel to identify, phenotype, and assess lineage plasticity of human regulatory T cells (Tregs). Tregs are an indispensable T cell lineage with pleiotropic tolerogenic functions whose activities contribute critically to numerous disease settings including cancer, autoimmunity, and infectious disease, among others. Phenotypic and functional heterogeneity within the Treg lineage has been appreciated, but the etiology and impact of Treg plasticity across disease states remain incompletely understood. Better tools are thus needed to deeply characterize human Treg phenotypic heterogeneity at the single cell level to advance discovery of Treg-based biomarkers in disease and to assess the effects of Treg-directed therapeutics. To this end, our 38-parameter panel consists of a 13-marker PBMC backbone module to broadly phenotype PBMCs while specifically discriminating Tregs, and a 25-marker Treg phenotyping module to determine Treg differentiation state, activation profile, and lineage subtype. In contrast to many high-parameter OMIPs that rely on surface staining only, we incorporated several intracellular targets in this panel. This afforded the opportunity to thoroughly evaluate binding characteristics of all antibodies in both pre-fixation and post-fixation and permeabilization settings; we identify several antibodies eligible for overnight post-fixation staining that require substantially reduced titers as compared to traditional pre-fixation staining, resulting in significant cost savings. Dimensionality reduction and semi-supervised clustering on healthy donor PBMC-derived Tregs profiled by our panel reveal up to 14 discrete Treg phenotypes. In sum, this panel enables deep phenotypic characterization of human Treg heterogeneity in peripheral blood specimens by spectral flow cytometry.

我们报告了38个参数的光谱流式细胞术面板的优化,以鉴定、表型和评估人类调节性T细胞(Tregs)的谱系可塑性。treg是一种不可缺少的T细胞谱系,具有多效性耐受性功能,其活动对许多疾病的发生,包括癌症、自身免疫和传染病等,都有重要作用。Treg谱系的表型和功能异质性已经得到了认识,但Treg可塑性在疾病状态中的病因和影响仍然不完全清楚。因此,需要更好的工具在单细胞水平上深入表征人类Treg表型异质性,以推进疾病中基于Treg的生物标志物的发现,并评估Treg导向治疗的效果。为此,我们的38个参数面板包括一个13个标记的PBMC骨干模块,用于广泛表型PBMC,同时特异性区分Treg,以及一个25个标记的Treg表型模块,用于确定Treg分化状态,激活概况和谱系亚型。与许多只依赖表面染色的高参数omip相比,我们在这个面板中纳入了几个细胞内靶点。这为全面评估所有抗体在固定前、固定后和渗透环境下的结合特性提供了机会;我们确定了几种适合隔夜固定后染色的抗体,与传统的固定前染色相比,它们需要的滴度大大降低,从而显著节省成本。我们小组对健康供体pbmc衍生的Treg进行降维和半监督聚类分析,揭示了多达14种离散的Treg表型。总而言之,该面板能够通过光谱流式细胞术对外周血标本中人类Treg异质性进行深入的表型表征。
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引用次数: 0
Best Practices for Equitable Training in Flow Cytometry Shared Resource Laboratories 流式细胞术共享资源实验室公平培训的最佳实践。
IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-03 DOI: 10.1002/cyto.a.24965
Jane Srivastava

The writing of best practices for equitable training practices in a shared resource laboratory (SRL) stems from the lack of available resources on the topic within current literature. Although SRLs have burgeoned over the past few years, and the breadth and scope of instrumentation and techniques within SRLs have expanded considerably, training within an SRL still tends to fall within equal, rather than equitable bounds. Equality of training is where students are provided with the same resources and training regardless of their background and ability, which can have detrimental effects on the learning of students that require different types of support to achieve understanding of the concepts of flow cytometry. Best practices in equitable training aim to rectify this with implementable guidelines for SRL staff.

在共享资源实验室(SRL)中编写公平培训实践的最佳实践源于当前文献中缺乏关于该主题的可用资源。尽管SRL在过去几年中迅速发展,并且SRL中的仪器和技术的广度和范围也有了相当大的扩展,但是SRL中的培训仍然倾向于落在平等的范围内,而不是公平的范围内。培训的平等性是指无论学生的背景和能力如何,都能获得相同的资源和培训,这可能会对学生的学习产生不利影响,因为学生需要不同类型的支持才能理解流式细胞术的概念。公平培训的最佳做法旨在通过为SRL工作人员提供可执行的准则来纠正这种情况。
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引用次数: 0
Volume 107A, Number 9, September 2025 Cover Image 107A卷,第9号,2025年9月封面图片
IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-29 DOI: 10.1002/cyto.a.24873
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引用次数: 0
OMIP-117: 40-Parameter/37-Color Spectral Cytometry Panel for Robust Immunoprofiling of Human Lymphoid Subsets in Cancer Patients 40参数/37色光谱细胞仪检测癌症患者淋巴亚群的免疫谱图
IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-24 DOI: 10.1002/cyto.a.24962
Ondrej Venglar, Eva Radova, Lucie Broskevicova, Roman Hajek, Tomas Jelinek

The analysis of immune cell compartments in cancer patients is crucial to predict treatment efficacy and relapse. We introduce a robust 40-parameter, 37-channel spectral cytometry panel designed to profile human lymphoid subsets and CAR-T cell expansion, with the capability to assess exhaustion status by profiling immune checkpoints and activating receptors in cancer patients. Developed for the 5-laser Cytek Aurora, the panel optimizes fluorophore selection and uses three pairs of mutually exclusive markers assigned to a single fluorescent parameter to simplify setup and ensure robust data, adopting a conservative design choice to keep similarity indices below 0.85; though higher overlaps can still yield high-quality data when best practices are applied. The panel enables detailed analysis of well-defined lymphoid subsets using a conventional gating strategy, as well as detection of unconventional subsets with variable expression patterns by unsupervised algorithm-based analysis. The effectiveness of the panel is demonstrated through a dataset simulating the progression of multiple myeloma, from pre-malignant disease to a highly aggressive stage.

肿瘤患者免疫细胞区室的分析是预测治疗效果和复发的关键。我们引入了一种强大的40参数,37通道的光谱细胞仪面板,旨在分析人类淋巴细胞亚群和CAR-T细胞扩增,能够通过分析癌症患者的免疫检查点和激活受体来评估衰竭状态。为5激光Cytek Aurora开发的面板优化了荧光团的选择,并使用分配给单个荧光参数的三对相互排斥的标记来简化设置并确保稳健的数据,采用保守的设计选择以保持相似指数低于0.85;尽管在应用最佳实践时,较高的重叠仍然可以产生高质量的数据。该小组可以使用传统的门控策略对定义明确的淋巴细胞亚群进行详细分析,也可以通过基于无监督算法的分析检测具有可变表达模式的非常规亚群。该小组的有效性通过模拟多发性骨髓瘤从恶性前疾病到高度侵袭性阶段的进展的数据集得到证明。
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引用次数: 0
Monitoring Treatment-Associated Receptor Expression in Multiple Sclerosis Using a Newly Developed Panel for Spectral Flow Cytometry 使用新开发的光谱流式细胞术面板监测多发性硬化治疗相关受体的表达。
IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-23 DOI: 10.1002/cyto.a.24963
Katharina Robichon, Jennifer Taylor, Imogen Milner, Kathryn Elizabeth Hally, Anne Camille La Flamme

Multiple sclerosis (MS) is a chronic, immune-mediated autoimmune disease characterized by the infiltration of autoreactive T cells and other inflammatory immune cells from the periphery into the central nervous system. Currently, there is no cure for MS, and treatment consists of disease-modifying therapies (DMTs), most of which modify or delete specific immune cell populations. These populations express crucial MS treatment-associated receptors, which may be differentially expressed in each patient, and thus each drug may affect individuals differently. Here, we developed the first comprehensive 24-parameter flow cytometry immunophenotyping panel to evaluate treatment-associated receptor expression on the major MS-associated immune cells in whole blood. Analyzing whole blood samples from treatment-naïve individuals with MS using this panel, we demonstrated that expression levels of these receptors vary between individuals. Response to the chosen DMT treatment also differed across participants. When monitoring the receptor expression during the course of treatment, we detected an increased response to treatment when receptor expression was elevated at the start of treatment. This panel reliably detects these receptors in MS treatment-naïve participants and enables monitoring of their expression throughout treatment. This tool will enable deep interrogation of the immune receptors targeted by MS therapies and highlights that treatment-associated receptor expression levels might be used to predict or correlate with treatment response.

多发性硬化症(MS)是一种慢性免疫介导的自身免疫性疾病,其特征是自身反应性T细胞和其他炎症性免疫细胞从外周浸润到中枢神经系统。目前,还没有治愈多发性硬化症的方法,治疗方法包括疾病修饰疗法(dmt),其中大多数是修饰或删除特定的免疫细胞群。这些人群表达关键的MS治疗相关受体,这些受体在每个患者中可能表达不同,因此每种药物对个体的影响可能不同。在这里,我们开发了第一个全面的24参数流式细胞术免疫表型组,以评估全血中主要ms相关免疫细胞上治疗相关受体的表达。使用该面板分析treatment-naïve MS患者的全血样本,我们证明这些受体的表达水平在个体之间存在差异。参与者对选择的DMT治疗的反应也不同。在治疗过程中监测受体表达时,我们发现当受体表达在治疗开始时升高时,对治疗的反应增加。该小组在MS treatment-naïve参与者中可靠地检测这些受体,并在整个治疗过程中监测它们的表达。该工具将能够深入询问MS治疗靶向的免疫受体,并强调治疗相关受体表达水平可能用于预测或与治疗反应相关。
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引用次数: 0
Novel Spectral High-Dimensional Flow Cytometry Assay for Combinatorial MHC Class I Tetramer Staining and Deep Antigen-Specific CD8+ T Cell Phenotyping 新型光谱高维流式细胞术用于组合MHC I类四聚体染色和深度抗原特异性CD8+ T细胞表型。
IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-18 DOI: 10.1002/cyto.a.24959
William Pratcher, Chikara Takahashi, Maria Lorenzo, Alberto Robert, Jiun Chiun Chang, Leesun Kim, Daniel Haensel, Martine Darwish, Mahesh Yadav, William E. O'Gorman, Thomas Liechti

Cytotoxic CD8+ T cells eliminate virus-infected or cancer cells, thus playing a pivotal role in anti-viral and anti-cancer immunity. Tetramer reagents, which consist of fluorochrome-labeled streptavidin coupled with peptide-loaded MHC I molecules, enable the detection of antigen-specific CD8+ T cells using flow cytometry. The development of tetramer reagents has been instrumental for our understanding of antigen-specific CD8+ T cells and their roles in immune responses. More recently, combinatorial tetramer staining protocols have enabled the simultaneous detection and monitoring of multiple specificities and concomitant pathogen-dependent CD8+ T cell dynamics. However, these methods are either based on mass cytometry, preventing the isolation of antigen-specific CD8+ T cells for downstream investigation, or have provided a less comprehensive picture of the phenotypic characteristics of antigen-specific CD8+ T cells when based on flow cytometry. Here we describe the development of a combinatorial tetramer staining protocol in combination with high-dimensional CD8+ T cell immunophenotyping in the context of virus-specific CD8+ T cells leveraging spectral flow cytometry. Our assay enables the simultaneous measurement of 15 different CD8+ T cell specificities and includes an additional 18 markers to define the phenotypic and functional characteristics of antigen-specific CD8+ T cells. We describe our assay optimization strategies, with the goal of improving marker and tetramer resolution while eliminating sources of background noise. Finally, we apply this method to reveal the phenotypic heterogeneity of virus-specific CD8+ T cells against common viral pathogens in healthy individuals.

细胞毒性CD8+ T细胞清除病毒感染的细胞或癌细胞,在抗病毒和抗癌免疫中起着关键作用。四聚体试剂由荧光色标记的链亲和素与装载肽的MHC I分子结合组成,可以使用流式细胞术检测抗原特异性CD8+ T细胞。四聚体试剂的发展有助于我们了解抗原特异性CD8+ T细胞及其在免疫反应中的作用。最近,组合四聚体染色方案已经能够同时检测和监测多种特异性和伴随的病原体依赖性CD8+ T细胞动力学。然而,这些方法要么是基于大规模细胞术,阻止了抗原特异性CD8+ T细胞的分离用于下游研究,要么是基于流式细胞术,对抗原特异性CD8+ T细胞的表型特征提供了不太全面的了解。在这里,我们描述了在利用光谱流式细胞术的病毒特异性CD8+ T细胞背景下,结合高维CD8+ T细胞免疫表型的组合四聚体染色方案的发展。我们的分析能够同时测量15种不同的CD8+ T细胞特异性,并包括额外的18个标记来定义抗原特异性CD8+ T细胞的表型和功能特征。我们描述了我们的分析优化策略,目标是提高标记物和四聚体的分辨率,同时消除背景噪声源。最后,我们应用该方法揭示了健康个体中病毒特异性CD8+ T细胞对常见病毒病原体的表型异质性。
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引用次数: 0
Impact of Panel Size, Fluorochrome Selection, and Unmixing Algorithms on Ultra-High Parameter Flow Cytometry Analysis 面板尺寸、荧光染料选择和解混算法对超高参数流式细胞术分析的影响。
IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-17 DOI: 10.1002/cyto.a.24960
Debajit Bhowmick, Timothy P. Bushnell

The expansion of full spectral flow cytometry enabled us to run ultra-high-dimensional panels of up to 50 fluorochromes, offering unprecedented in-depth immunophenotyping. However, this advancement introduces significant analytical challenges, particularly in unmixing accuracy, population spread, and panel design. This study evaluates the impact of various unmixing algorithms on biological interpretation using different OMIP datasets. We demonstrate that algorithmic discrepancies can lead to loss of resolution, population misidentification, and incorrect interpretation of the biological information. Through comparative analysis and the use of measures like the Median Mismatch Index (MMI), Spillover Spread Matrix (SSM) and robust Standard Deviation (rSD), we highlight the limitations of current tools and propose strategies for optimized use of single stain, predicting the unmixing accuracy for a set of fluorochromes, and cares that need to be taken for correct data interpretation in high-parameter cytometry. We also showed the present version of SSM may not be suitable to predict the spillover spread for ultra-large panels.

全光谱流式细胞术的扩展使我们能够运行高达50个荧光色的超高维面板,提供前所未有的深度免疫表型。然而,这一进步带来了重大的分析挑战,特别是在解混精度、人口分布和面板设计方面。本研究使用不同的OMIP数据集评估了各种解混算法对生物解释的影响。我们证明,算法的差异会导致分辨率的丧失,种群的错误识别,以及对生物信息的错误解释。通过比较分析和使用中位数错配指数(MMI)、溢出扩散矩阵(SSM)和稳健标准偏差(rSD)等措施,我们强调了当前工具的局限性,并提出了优化单一染色使用的策略,预测了一组荧光染料的解混精度,以及在高参数细胞术中正确解释数据需要注意的问题。我们还表明,目前版本的SSM可能不适合预测超大面板的溢出扩散。
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引用次数: 0
Development of a 29-Color Single-Tube Full Spectrum Flow Cytometry Assay for the Detection of Measurable Residual Disease and Leukemic Stem Cells in Acute Myeloid Leukemia 29色单管全光谱流式细胞术检测急性髓系白血病中可测量的残留疾病和白血病干细胞的建立。
IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-12 DOI: 10.1002/cyto.a.24958
Zhong Zhang, Miriam Wilhelm, Ines Sieber, Hartmut Döhner, Michaela Feuring

Multiparametric flow cytometry (MFC) is widely used to detect measurable residual disease (MRD) in acute myeloid leukemia (AML). However, conventional flow assays require multiple tubes, with an additional tube for leukemia stem cell (LSC) analysis and lack hemodilution evaluation. Spectral flow cytometry (SFC) can overcome the limitation of flow channels and has the potential for multifunctional design using a single tube. We developed a 29-color single-tube assay that adheres to the recommendations of the European Leukemia Network Flow-MRD Working Party and incorporates the simultaneous evaluation of MRD, LSC, and hemodilution. The Complexity Index of the assay was calculated at 9.08. Through limit dilution experiments using the KG-1α AML cell line, we determined the limit of blank (LOB), limit of detection (LOD), and limit of quantification (LOQ) for four leukemia-associated immunophenotypes (LAIP). The assay easily achieved the minimum sensitivity requirement for MRD detection ≤ 0.1% with minimal intra- and interassay variations. Background signals for 24 LAIPs and 10 LSC immunophenotypes were evaluated in eight healthy bone marrow (BM) samples. The single-tube SFC assay was compared with the five-tube conventional assay by analyzing 20 AML BM samples, demonstrating high concordance. To assess hemodilution, markers to detect established parameters, including immature granulocytes, neutrophils, mast cells, and plasma cells, were included. In summary, we provide a versatile single-tube 29-color SFC-based MRD assay that minimizes cell requirements, integrates LSC evaluation, and assesses hemodilution. This assay has the potential to improve the reliability and simplicity of MRD detection.

多参数流式细胞术(MFC)被广泛用于检测急性髓系白血病(AML)中可测量的残留病变(MRD)。然而,传统的流式分析需要多根试管,白血病干细胞(LSC)分析需要额外的试管,并且缺乏血液稀释评估。光谱流式细胞术(SFC)可以克服流道的限制,并具有使用单管进行多功能设计的潜力。我们开发了一种29色单管试验,遵循欧洲白血病网络流量MRD工作组的建议,并结合MRD, LSC和血液稀释的同时评估。计算该方法的复杂度指数为9.08。通过KG-1α AML细胞系的极限稀释实验,我们确定了4种白血病相关免疫表型(LAIP)的空白限(LOB)、检测限(LOD)和定量限(LOQ)。该方法很容易达到MRD检测的最低灵敏度要求≤0.1%,且测定内和测定间的变化最小。在8个健康骨髓(BM)样本中评估了24种LAIPs和10种LSC免疫表型的背景信号。通过分析20个AML BM样本,将单管SFC检测与五管常规检测进行比较,显示出高度的一致性。为了评估血液稀释,检测已确定参数的标志物包括未成熟粒细胞、中性粒细胞、肥大细胞和浆细胞。总之,我们提供了一个多功能的单管29色sfc为基础的MRD分析,最大限度地减少细胞需求,整合LSC评估,并评估血液稀释。该方法有可能提高MRD检测的可靠性和简单性。
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引用次数: 0
Volume 107A, Number 8, August 2025 Cover Image 107A卷,8号,2025年8月封面图片
IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-09 DOI: 10.1002/cyto.a.24871
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引用次数: 0
Per-Event Uncertainty Quantification for Flow Cytometry Using Calibration Beads 流式细胞术中使用校准珠的每事件不确定度定量。
IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-08-29 DOI: 10.1002/cyto.a.24954
Prajakta Bedekar, Megan A. Catterton, Matthew DiSalvo, Gregory A. Cooksey, Anthony J. Kearsley, Paul N. Patrone

Flow cytometry measurements are widely used in diagnostics and medical decision making. Incomplete understanding of sources of measurement uncertainty can make it difficult to distinguish autofluorescence and background sources from signals of interest. Moreover, established methods for modeling uncertainty overlook the fact that the apparent distribution of measurements is a convolution of the inherent population variability (e.g., associated with calibration beads or cells) and instrument-induced effects. Such issues make it difficult, for example, to identify signals from small objects such as extracellular vesicles. To overcome such limitations, we formulate an explicit probabilistic measurement model that accounts for volume and labeling variation, background signals, and fluorescence shot noise. Using raw data from routine per-event calibration measurements, we use this model to separate the aforementioned sources of uncertainty and demonstrate how such information can be used to facilitate decision making and instrument characterization.

流式细胞术测量广泛应用于诊断和医疗决策。对测量不确定度来源的不完全了解会使从感兴趣的信号中区分自身荧光和背景源变得困难。此外,建立的不确定性建模方法忽略了这样一个事实,即测量的表观分布是固有的总体变异性(例如,与校准珠或细胞有关)和仪器引起的影响的卷积。例如,这些问题使识别细胞外囊泡等小物体发出的信号变得困难。为了克服这些限制,我们制定了一个明确的概率测量模型,该模型考虑了体积和标记变化、背景信号和荧光射击噪声。使用来自常规事件校准测量的原始数据,我们使用该模型来分离上述不确定性来源,并演示如何使用这些信息来促进决策和仪器表征。
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引用次数: 0
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Cytometry Part A
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