Human Blood Monocyte Subsets: A New Gating Strategy Defined Using Cell Surface Markers Identified by Mass Cytometry

Graham D Thomas1, Anouk A J Hamers2, Catherine Nakao2

  • 1From the Division of Inflammation Biology, La Jolla Institute for Allergy and Immunology, CA (G.D.T., A.A.J.H., C.N., P.M., C.C.H.); and Division of Cardiology and Robert M. Berne Cardiovascular Center, University of Virginia, Charlottesville (A.M.T., C.M., A.T.N., C.A.M.). gthomas@coipharma.com hedrick@lji.org.

Insights

Researchers developed a new gating strategy to accurately identify human monocyte subsets using mass cytometry. This improved method enhances the purity of intermediate and nonclassical monocytes, crucial for understanding cardiovascular disease.

Area of Science:

  • Immunology
  • Hematology
  • Cardiovascular Research

Background:

  • Human monocytes are classified into classical (CD14++CD16-), intermediate (CD14++CD16+), and nonclassical (CD14+CD16+) subsets.
  • Monocyte subset alterations are linked to clinical outcomes, particularly cardiovascular disease, where intermediate monocytes predict events.
  • Current methods for defining monocyte subsets yield inconsistent results, hindering mechanistic studies.

Purpose of the Study:

  • To develop a more accurate method for identifying and purifying human monocyte subsets.
  • To improve the reliability of monocyte subset analysis in the context of cardiovascular disease research.

Main Methods:

  • Utilized cytometry by time-of-flight mass cytometry with 36 cell surface markers.
  • Employed viSNE (visual interactive stochastic neighbor embedding) for high-dimensional analysis of monocyte populations.
  • Developed and validated a revised gating scheme incorporating CCR2, CD36, HLA-DR, and CD11c markers.

Main Results:

  • Standard CD14 and CD16 gating results in significant contamination of intermediate (≈86.0%) and nonclassical (≈87.2%) monocyte subsets.
  • The novel gating scheme, using additional markers, increased intermediate and nonclassical monocyte purity to 98.8% and 99.1%, respectively.
  • Demonstrated the applicability of the revised gating scheme using conventional flow cytometry in patients with cardiovascular disease.

Conclusions:

  • A refined panel of surface markers and a new gating strategy significantly enhance monocyte subset identification and purity.
  • This improved method is crucial for accurate monocyte function studies in clinical settings, especially for cardiovascular disease.
  • The findings provide a more robust approach for immunological research involving human monocyte subsets.
Abstract

Related Concept Videos