Technical advance: autofluorescence as a tool for myeloid cell analysis

Andrew J Mitchell1, Lydie C Pradel, Lionel Chasson

  • 1Centre d'Immunologie de Marseille-Luminy, INSERM-CNRS-Université de La Méditerranée, Marseille, France. andrewm@med.usyd.edu.au

Insights

Autofluorescence (AF) in flow cytometry reveals distinct myeloid cell populations, including resident monocytes and red blood cell-phagocytosing macrophages (RPM). This method enables purification of iron-rich RPM for deeper biological insights.

Area of Science:

  • Immunology
  • Cell Biology
  • Biomedical Engineering

Background:

  • Cellular autofluorescence (AF) is typically viewed as an obstacle in flow cytometric analysis.
  • Conventional flow cytometry often struggles to resolve complex leukocyte subsets.
  • Understanding myeloid cell heterogeneity is crucial for immunological research.

Purpose of the Study:

  • To integrate cellular AF into flow cytometric analysis for improved leukocyte characterization.
  • To identify and isolate distinct myeloid cell populations, particularly in complex biological samples.
  • To leverage AF patterns for functional and metabolic profiling of immune cells.

Main Methods:

  • Utilized a mouse model to examine cellular AF across various excitation and emission wavelengths.
  • Employed gating strategies based on discrete AF patterns to isolate cell populations.
  • Conducted surface marker expression analysis and gene expression profiling on isolated populations.

Main Results:

  • Successfully identified major myeloid populations in the spleen, including resident monocytes and red blood cell-phagocytosing macrophages (RPM).
  • RPM displayed a phenotype indicative of lipid and iron metabolism, with significant intracellular ferric iron content.
  • Developed a magnetic-based purification method for iron-rich RPM.
  • Extended the AF-based analysis to leukocytes from other organs, identifying previously elusive myeloid subsets.

Conclusions:

  • Incorporating AF into flow cytometry provides a powerful tool for dissecting complex immune cell mixtures.
  • AF analysis facilitates the simultaneous characterization and isolation of functionally distinct myeloid populations.
  • This approach enhances the identification of biologically significant cell subsets beyond conventional methods.