Immunophenotyping challenging tissue types using high-dimensional full spectrum flow cytometry

Laura Ferrer-Font1, Olivia K Burn2, Johannes U Mayer3

  • 1Hugh Green Cytometry Centre, Malaghan Institute of Medical Research, Wellington, New Zealand.

PubMed

Insights

This study presents optimized protocols for full spectrum flow cytometry, enhancing single-cell immune analysis. These methods improve panel design, tissue preparation, and data analysis for complex biological samples.

Area of Science:

  • Immunology
  • Biotechnology
  • Analytical Chemistry

Background:

  • Advancements in fluorescence flow cytometry and immunology have enabled complex, high-parameter single-cell analysis.
  • Full spectrum flow cytometry is increasingly adopted for its ability to capture comprehensive spectral data.
  • Growing demand necessitates optimized protocols for complex staining panels and challenging tissue types.

Purpose of the Study:

  • To provide optimized, step-by-step protocols for full spectrum flow cytometry.
  • To address challenges in panel design, validation, and high-dimensional data analysis.
  • To optimize tissue preparation methods for high-quality single-cell analysis.

Main Methods:

  • Development of optimized protocols for full spectrum flow cytometry panel design.
  • Establishment of refined tissue digestion techniques for single-cell preparation.
  • Implementation of strategies for panel optimization and validation.

Main Results:

  • Validated protocols facilitate the analysis of complex immune cell populations using high-parameter flow cytometry.
  • Optimized tissue preparation ensures sample integrity and representative analysis.
  • Streamlined workflow enhances the efficiency and accuracy of high-dimensional data analysis.

Conclusions:

  • The provided protocols enable robust and reproducible full spectrum flow cytometry analysis.
  • These methods are crucial for advancing the study of complex biological systems and immune responses.
  • Optimized techniques support researchers in overcoming technical hurdles in single-cell analysis.