High-Content Immunophenotyping and Hierarchical Clustering Reveal Sources of Heterogeneity and New Surface Markers of Human Blood Monocyte Subsets
Jazyk angličtina Země Německo Médium print-electronic
Typ dokumentu časopisecké články
Grantová podpora
Ministry of Health of the Czech Republic
NV18-08-00385
Ministry of Education, Youth and Sports NPU I
LO1604
PubMed
31887780
DOI
10.1055/s-0039-1700871
Knihovny.cz E-zdroje
- MeSH
- ateroskleróza diagnóza imunologie MeSH
- biodiverzita MeSH
- biologické markery metabolismus MeSH
- fenotyp MeSH
- imunofenotypizace metody MeSH
- krevní oběh MeSH
- lidé MeSH
- lipopolysacharidové receptory metabolismus MeSH
- monocyty fyziologie MeSH
- průtoková cytometrie MeSH
- receptory IgG metabolismus MeSH
- rychlé screeningové testy MeSH
- separace buněk MeSH
- shluková analýza MeSH
- zánět diagnóza imunologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- biologické markery MeSH
- lipopolysacharidové receptory MeSH
- receptory IgG MeSH
OBJECTIVE: Blood monocyte subsets are emerging as biomarkers of cardiovascular inflammation. However, our understanding of human monocyte heterogeneity and their immunophenotypic features under healthy and inflammatory conditions is still evolving. RATIONALE: In this study, we sought to investigate the immunophenome of circulating human monocyte subsets. METHODS: Multiplexed, high-throughput flow cytometry screening arrays and computational data analysis were used to analyze the expression and hierarchical relationships of 242 specific surface markers on circulating classical (CD14++CD16-), intermediate (CD14++CD16+), and nonclassical (CD14+CD16++) monocytes in healthy adults. RESULTS: Using generalized linear models and hierarchical cluster analysis, we selected and clustered epitopes that most reliably differentiate between monocyte subsets. We validated existing transcriptional profiling data and revealed potential new surface markers that uniquely define the classical (e.g., BLTR1, CD35, CD38, CD49e, CD89, CD96), intermediate (e.g., CD39, CD275, CD305, CDw328), and nonclassical (e.g., CD29, CD132) subsets. In addition, our analysis revealed phenotypic cell clusters, identified by dendritic markers CMRF-44 and CMRF-56, independent of the traditional monocyte classification. CONCLUSION: These results reveal an advancement of the clinically applicable multiplexed screening arrays that may facilitate monocyte subset characterization and cytometry-based biomarker selection in various inflammatory disorders.
CLIP Childhood Leukemia Investigation Prague Charles University Prague Czech Republic
Department of Cardiology Kerckhoff Heart and Thorax Center Bad Nauheim Germany
Department of Cardiology St Johannes Hospital Dortmund Dortmund Germany
Department of Medicine 3 Cardiology Goethe University Hospital Frankfurt am Main Germany
German Center for Cardiovascular Research Partner site Rhine Main Frankfurt am Main Germany
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