High-Content Immunophenotyping and Hierarchical Clustering Reveal Sources of Heterogeneity and New Surface Markers of Human Blood Monocyte Subsets.

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ID: 95684
2020
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Abstract
 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. In this study, we sought to investigate the immunophenome of circulating human monocyte subsets. 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 (CD14CD16), intermediate (CD14CD16), and nonclassical (CD14CD16) monocytes in healthy adults. 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. 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.
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hoffmann2020highcontentthrombosis Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hoffmann, Jedrzej;Fišer, Karel;Liebetrau, Christoph;Staubach, Nora;Kost, David;Voss, Sandra;Heiden, Annkathrin Zur;Dörr, Oliver;Lipps, Christoph;Nef, Holger M;Möllmann, Helge;Hamm, Christian W;Keller, Till;Troidl, Christian;
Journal thrombosis and haemostasis
Year 2020
DOI
10.1055/s-0039-1700871
URL
Keywords
cancer immunotherapy neoantigen tumor-infiltrating lymphocytes transforming growth factor-beta adoptive t cell transfer (act) cms low mutation burden mismatch repair-proficient (mmr-p)

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