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

Autor: Chao Li, Maozhi Xiao, Suxia Geng, Yulian Wang, Lingji Zeng, Peilong Lai, Ying Gong, Xiaomei Chen
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Immunology, Vol 15 (2024)
Druh dokumentu: article
ISSN: 1664-3224
DOI: 10.3389/fimmu.2024.1405249
Popis: IntroductionExploring monocytes’ roles within the tumor microenvironment is crucial for crafting targeted cancer treatments.MethodsThis 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. ResultsBy 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. DiscussionThis 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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