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Comprehensive analysis of human monocyte subsets using full-spectrum flow cytometry and hierarchical marker clustering.
Li, Chao; Xiao, Maozhi; Geng, Suxia; Wang, Yulian; Zeng, Lingji; Lai, Peilong; Gong, Ying; Chen, Xiaomei.
Afiliación
  • Li C; Department of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Xiao M; Department of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Geng S; Department of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Wang Y; Department of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Zeng L; Department of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Lai P; Department of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Gong Y; Department of Laboratory Medicine, Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Chen X; Department of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Front Immunol ; 15: 1405249, 2024.
Article en En | MEDLINE | ID: mdl-38742110
ABSTRACT

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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Monocitos / Biomarcadores / Inmunofenotipificación / Citometría de Flujo Límite: Humans Idioma: En Revista: Front Immunol Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Monocitos / Biomarcadores / Inmunofenotipificación / Citometría de Flujo Límite: Humans Idioma: En Revista: Front Immunol Año: 2024 Tipo del documento: Article País de afiliación: China