Flow cytometric discrimination of seven lineage markers by using two fluorochromes

Francesco Boin1, Maria Letizia Giardino Torchia2, Ivan Borrello3

  • 1Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.

Plos One
|December 1, 2017
PubMed

Insights

This study introduces a novel flow cytometry staining method to identify key human immune cells using just two fluorochromes. This technique enables more comprehensive immunophenotyping with fewer cells, advancing cell analysis in immunology.

Area of Science:

  • Immunology
  • Cell Biology
  • Biotechnology

Background:

  • Flow cytometry is a crucial technique for analyzing complex cell populations.
  • Accurate immunophenotyping requires detailed analysis of multiple cell markers.
  • Current methods can be limited by the number of detectable markers and cell requirements.

Purpose of the Study:

  • To develop an efficient flow cytometry staining method for human mononuclear cells.
  • To identify major lymphoid and myeloid populations using a minimal number of fluorochromes and cells.
  • To enhance the capacity for comprehensive immunophenotyping on standard flow cytometers.

Main Methods:

  • Development of a novel staining protocol for human mononuclear cells.
  • Utilized only two fluorochromes for simultaneous identification of multiple immune cell subsets.
  • Validated the method for identifying CD4+ and CD8+ T cells, γδ T cells, B cells, NK cells, and monocytes.

Main Results:

  • Successfully identified major human mononuclear lymphoid and myeloid populations with high accuracy.
  • The method requires a minimal number of cells, making it suitable for limited sample volumes.
  • Achieved comprehensive immunophenotyping by increasing the number of recordable markers per cell.

Conclusions:

  • The presented staining method offers an efficient and cost-effective approach to immunophenotyping.
  • This technique expands the analytical capabilities of standard flow cytometry instruments.
  • Facilitates deeper and more comprehensive analysis of immune cell populations in research and diagnostics.