Deep phenotyping of immune cell populations by optimized and standardized flow cytometry analyses

Fabien Pitoiset1,2, Lydie Cassard3, Karim El Soufi1,2

  • 1Sorbonne Universités, UPMC Univ Paris 06, INSERM, UMR S 959, Immunology-Immunopathology- Immunotherapy (I3), F-75005, Paris, France.

Insights

Researchers developed 12 optimized 10-color flow cytometry panels for deep immune cell phenotyping from whole blood. These panels aid in monitoring autoimmune and cancer patients, identifying rare cells, and discovering new biomarkers.

Area of Science:

  • Immunology
  • Clinical Trials
  • Biomarker Discovery

Background:

  • Multicolor flow cytometry is crucial for immune cell phenotyping in clinical trials.
  • Defining antibody combinations for detailed immune cell subset analysis, especially rare populations, remains challenging.

Purpose of the Study:

  • To develop and validate 10-color flow cytometry panels for deep immunophenotyping of whole blood immune cells.
  • To facilitate patient monitoring in autoimmune and cancer clinical trials.

Main Methods:

  • Development and validation of 12 distinct 10-color flow cytometry panels.
  • Application to whole blood samples for comprehensive immune cell analysis.
  • Drying of most panels for improved standardization.

Main Results:

  • Enabled advanced analysis of major immune cell subsets including T cells, B cells, NK cells, MAIT cells, myeloid cells, monocytes, and dendritic cells.
  • Demonstrated feasibility using less than 2 ml of whole blood.
  • Panels allow for the identification of rare immune cell populations.

Conclusions:

  • These optimized flow cytometry panels provide a powerful tool for deep immunophenotyping.
  • They are valuable for monitoring immune cells in autoimmune and cancer patients.
  • The panels may lead to the discovery of novel biomarkers and therapeutic targets.

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