Advanced immunophenotyping of lymphocyte and monocyte subsets in healthy Australian adults using a novel spectral

Ainsley R Davies1,2, Kristy Kwong1,2,3, Zhijia Yu1

  • 1Canberra Clinical Phenomics Service, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia.

PubMed

Insights

This study developed a novel 30-colour spectral flow cytometry panel to analyze over 50 lymphocyte and monocyte populations. This advanced method offers a more comprehensive approach for disease diagnosis and monitoring.

Area of Science:

  • Immunology
  • Biotechnology
  • Clinical Diagnostics

Background:

  • Lymphocytes are crucial in disease pathogenesis and serve as biomarkers for immunological conditions.
  • Current clinical flow cytometry methods are limited, typically identifying only 4-8 lymphocyte populations.
  • A need exists for more comprehensive analysis of immune cell populations for improved diagnostics.

Purpose of the Study:

  • To develop and optimize a novel 30-colour immunophenotyping panel for spectral flow cytometry.
  • To measure over 50 distinct lymphocyte and monocyte populations from a single biological sample.
  • To validate the assay for future diagnostic use within the Australian regulatory framework.

Main Methods:

  • Design and optimization of a novel 30-colour lymphocyte immunophenotyping panel.
  • Utilized a 3-laser (V-B-R) spectral flow cytometer for high-dimensional analysis.
  • Applied the panel to analyze samples from 148 healthy individuals.

Main Results:

  • Successfully developed a panel capable of measuring over 50 lymphocyte and monocyte populations.
  • Demonstrated the feasibility of the assay in a cohort of 148 healthy individuals.
  • Established a comprehensive method for immune cell profiling.

Conclusions:

  • The novel spectral flow cytometry panel provides a significantly more comprehensive analysis of lymphocyte and monocyte populations compared to current methods.
  • This work lays the foundation for clinical applications of advanced spectral flow cytometry.
  • The assay has potential implications for improved disease diagnosis and patient monitoring.
Abstract