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Updated: Jul 3, 2026
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
Published on: January 16, 2019
Generation of flow cytometry data files with a potentially infinite number of dimensions
Carlos E Pedreira1, Elaine S Costa, Susana Barrena
1Faculty of Medicine and COPPE, Engineering Graduate Program, UFRJ/Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Insights
This study introduces an automated method to merge flow cytometry data from multiple antibody stainings for B-cell chronic lymphoproliferative disorders. This approach simplifies data analysis, enabling comprehensive immunophenotypic characterization from a single data file.
Area of Science:
- Hematology
- Immunology
- Computational Biology
Background:
- Immunophenotypic characterization of B-cell chronic lymphoproliferative disorders (B-CLPD) typically requires extensive panels of monoclonal antibodies (Mab).
- Current analysis methods involve separate data processing for each stained aliquot, complicating comprehensive analysis.
Purpose of the Study:
- To describe and validate an automated method for merging flow cytometric data from multiple multicolor stainings of the same cell sample.
- To simplify the generation of comprehensive immunophenotypic data files for B-CLPD analysis.
Main Methods:
- Developed an automated method to merge flow cytometry data from different aliquots stained with partially overlapping Mab combinations.
- Applied the method to a cohort of 60 B-CLPD patients using a panel of 18 reagents across six 3- and 4-color stainings, including CD19.
Main Results:
- Demonstrated a high degree of correlation and agreement between originally measured and calculated flow cytometric data.
- The automated method successfully integrated data from multiple stainings into a single file.
Conclusions:
- The validated automated method provides a basis for generating comprehensive flow cytometric data files.
- This approach allows for the analysis of virtually unlimited stainings from a limited number of fluorochrome stainings, enhancing B-CLPD characterization.
Abstract:
Immunophenotypic characterization of B-cell chronic lymphoproliferative disorders (B-CLPD) is associated with the use of increasingly larger panels of multiple combinations of 3 to > or =6 monoclonal antibodies (Mab), data analysis being separately performed for each of the different stained sample aliquots. Here, we describe and validate an automated method for calculation of flow cytometric data from several multicolor stainings of the same cell sample--i.e., the merging of data from different aliquots stained with partially overlapping combinations of Mab reagents (focusing on > or =1 cell populations)--into one data file as if it concerned a single "super" multicolor staining. Evaluation of the performance of the method described was done in a group of 60 B-CLPD studied at diagnosis with 18 different reagents in a panel containing six different 3- and 4-color stainings, which systematically contained CD19 for the identification of B-cells. Our results show a high degree of correlation and agreement between originally measured and calculated data about cell surface stainings, providing a basis for the use of this approach for the generation of flow cytometric data files containing information about a virtually infinite number of stainings for each individual cellular event measured in a sample, using a limited number of fluorochrome stainings.
