Investigating T cells by polychromatic flow cytometry

Enrico Lugli1, Leonarda Troiano, Andrea Cossarizza

  • 1Department of Biomedical Sciences, Section of General Pathology, Modena, Italy.

Insights

Polychromatic flow cytometry (PFC) enables detailed analysis of immune cells by measuring up to 19 parameters. This chapter discusses PFC protocols and data interpretation for complex immunological studies.

Area of Science:

  • Immunology
  • Cell Biology
  • Biotechnology

Background:

  • Flow cytometry has significantly advanced immunology by enabling single-cell analysis.
  • It facilitates the identification of immune cell subsets involved in immunoregulation and disease pathogenesis.
  • Recent technological advancements allow for multi-parameter analysis, up to 19 at the single-cell level.

Purpose of the Study:

  • To discuss protocols for performing polychromatic flow cytometry (PFC).
  • To provide guidelines for the interpretation and analysis of complex PFC data.
  • To highlight the utility of PFC in fine analysis of immune cell phenotypes.

Main Methods:

  • Utilizing advanced flow cytometry equipment and fluorochromes.
  • Implementing polychromatic flow cytometry (PFC) for simultaneous multi-parameter analysis (up to 19).
  • Developing protocols for PFC execution and data handling.

Main Results:

  • PFC allows for fine analysis of immune cell phenotypes, including T lymphocytes, B cell subsets, and intracellular phosphoproteome.
  • The approach generates large datasets, necessitating specialized interpretation strategies.
  • Established protocols and guidelines aid in managing and understanding complex PFC data.

Conclusions:

  • Polychromatic flow cytometry is a powerful tool for in-depth immunological research.
  • Effective data interpretation and analysis strategies are crucial for leveraging PFC's potential.
  • This chapter provides essential guidance for researchers utilizing PFC in immunology.