Comprehensive analysis of human monocyte subsets using full-spectrum flow cytometry and hierarchical marker clustering Article Swipe
Chao Li
,
Maozhi Xiao
,
Suxia Geng
,
Yulian Wang
,
Lingji Zeng
,
Peilong Lai
,
Ying Gong
,
Xiaomei Chen
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fimmu.2024.1405249
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fimmu.2024.1405249
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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- Type
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- en
- Landing Page
- https://doi.org/10.3389/fimmu.2024.1405249
- https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1405249/pdf
- OA Status
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- Cited By
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4396224584Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fimmu.2024.1405249Digital Object Identifier
- Title
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Comprehensive analysis of human monocyte subsets using full-spectrum flow cytometry and hierarchical marker clusteringWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-04-29Full publication date if available
- Authors
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Chao Li, Maozhi Xiao, Suxia Geng, Yulian Wang, Lingji Zeng, Peilong Lai, Ying Gong, Xiaomei ChenList of authors in order
- Landing page
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https://doi.org/10.3389/fimmu.2024.1405249Publisher landing page
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https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1405249/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1405249/pdfDirect OA link when available
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Flow cytometry, Cluster analysis, Monocyte, Hierarchical clustering, Computer science, Cytometry, Computational biology, Biology, Immunology, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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9Total citation count in OpenAlex
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2025: 8, 2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5052497184, https://openalex.org/A5100731759, https://openalex.org/A5026278368 |
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| corresponding_institution_ids | https://openalex.org/I4210103346, https://openalex.org/I4210145693, https://openalex.org/I4210153930, https://openalex.org/I58200834 |
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