OMIP‐109: 45‐color full spectrum flow cytometry panel for deep immunophenotyping of the major lineages present in human peripheral blood mononuclear cells with emphasis on the T cell memory compartment

免疫分型 流式细胞术 细胞仪 免疫学 CD8型 T细胞 外周血单个核细胞 生物 背景(考古学) 免疫系统 计算生物学 遗传学 体外 古生物学
作者
Lily M. Park,Joanne Lannigan,Quentin Low,María C. Jaimes,Diana L. Bonilla
出处
期刊:Cytometry Part A [Wiley]
卷期号:105 (11): 807-815 被引量:2
标识
DOI:10.1002/cyto.a.24900
摘要

Abstract The need for more in‐depth exploration of the human immune system has moved the flow cytometry field forward with advances in instrumentation, reagent development and availability, and user‐friendly implementation of data analysis methods. We developed a high‐quality human 45‐color panel, for comprehensive characterization of major cell lineages present in circulation including T cells, γδ T cells, NKT‐like cells, B cells, NK cells, monocytes, basophils, dendritic cells, and ILCs. Assay optimization steps are described in detail to ensure that each marker in the panel was optimally resolved. In addition, we highlight the outstanding discernment of cell activation, exhaustion, memory, and differentiation states of CD4+ and CD8+ T cells using this 45‐color panel. The panel enabled an in‐depth description of very distinct phenotypes associated with the complexity of the T cell memory response. Furthermore, we present how this panel can be effectively used for cell sorting on instruments with a similar optical layout to achieve the same level of resolution. Functional evaluation of sorted specific rare cell subsets demonstrated significantly different patterns of immunological responses to stimulation, supporting functional and phenotypic differences within the T cell memory subsets. In summary, the combination of full spectrum profiling technology and careful assay design and optimization results in a high resolution multiparametric 45‐color assay. This panel offers the opportunity to fully characterize immunological profiles present in peripheral blood in the context of infectious diseases, autoimmunity, neurodegeneration, immunotherapy, and biomarker discovery.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
欣欣发布了新的文献求助10
刚刚
刚刚
CAOHOU应助yydx采纳,获得10
1秒前
1秒前
jennywqs完成签到,获得积分10
1秒前
2秒前
2秒前
可爱的函函应助ee采纳,获得10
2秒前
2秒前
尹尹尹发布了新的文献求助10
2秒前
mc发布了新的文献求助10
3秒前
滴滴发布了新的文献求助10
3秒前
4秒前
给我一颗糖完成签到,获得积分10
4秒前
王珩安发布了新的文献求助10
4秒前
4秒前
suibiao发布了新的文献求助10
4秒前
5秒前
CipherSage应助科研通管家采纳,获得10
5秒前
5秒前
思源应助勤劳蜜蜂采纳,获得10
5秒前
小二郎应助科研通管家采纳,获得10
5秒前
科研通AI5应助科研通管家采纳,获得10
5秒前
小龙发布了新的文献求助10
5秒前
所所应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
6秒前
小马甲应助科研通管家采纳,获得10
6秒前
Lucas应助科研通管家采纳,获得10
6秒前
李健应助科研通管家采纳,获得20
6秒前
隐形曼青应助科研通管家采纳,获得10
6秒前
爆米花应助科研通管家采纳,获得10
6秒前
ooo娜完成签到 ,获得积分10
6秒前
Lucas应助科研通管家采纳,获得10
6秒前
搜集达人应助科研通管家采纳,获得10
6秒前
许甜甜鸭应助科研通管家采纳,获得20
6秒前
6秒前
耶椰耶发布了新的文献求助10
7秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Parallel Optimization 200
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3835634
求助须知:如何正确求助?哪些是违规求助? 3378015
关于积分的说明 10501548
捐赠科研通 3097632
什么是DOI,文献DOI怎么找? 1705876
邀请新用户注册赠送积分活动 820756
科研通“疑难数据库(出版商)”最低求助积分说明 772245