Comprehensive analysis of human monocyte subsets using full-spectrum flow cytometry and hierarchical marker clustering

被引:1
|
作者
Li, Chao [1 ]
Xiao, Maozhi [1 ]
Geng, Suxia [1 ]
Wang, Yulian [1 ]
Zeng, Lingji [1 ]
Lai, Peilong [1 ]
Gong, Ying [2 ]
Chen, Xiaomei [1 ]
机构
[1] Southern Med Univ, Guangdong Prov Peoples Hosp, Guangdong Acad Med Sci, Dept Hematol, Guangzhou, Peoples R China
[2] Southern Med Univ, Nanfang Hosp, Guangdong Engn & Technol Res Ctr Rapid Diagnost Bi, Dept Lab Med, Guangzhou, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2024年 / 15卷
基金
中国国家自然科学基金;
关键词
spectral flow cytometry; monocytes; tumor microenvironment (TME); immunophenotyping; immune checkpoints; t-distributed stochastic neighbor embedding (tSNE) analysis; mesenchymal stromal cells (MSCs); EXPRESSION; CELLS; DIFFERENTIATION; MECHANISMS; IMPACT;
D O I
10.3389/fimmu.2024.1405249
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Introduction Exploring monocytes' roles within the tumor microenvironment is crucial for crafting targeted cancer treatments.Methods This study unveils a novel methodology utilizing four 20-color flow cytometry panels for comprehensive peripheral immune system phenotyping, specifically targeting classical, intermediate, and non-classical monocyte subsets.Results By applying advanced dimensionality reduction techniques like t-distributed stochastic neighbor embedding (tSNE) and FlowSom analysis, we performed an extensive profiling of monocytes, assessing 50 unique cell surface markers related to a wide range of immunological functions, including activation, differentiation, and immune checkpoint regulation.Discussion This in-depth approach significantly refines the identification of monocyte subsets, directly supporting the development of personalized immunotherapies and enhancing diagnostic precision. Our pioneering panel for monocyte phenotyping marks a substantial leap in understanding monocyte biology, with profound implications for the accuracy of disease diagnostics and the success of checkpoint-inhibitor therapies. Key findings include revealing distinct marker expression patterns linked to tumor progression and providing new avenues for targeted therapeutic interventions.
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页数:13
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