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Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters.

Samuel E Norton1, Julia K H Leman1, Tiffany Khong2,3

  • 1Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.

BMC Bioinformatics
|April 16, 2020
PubMed
Summary

Brick plots offer a new way to visualize complex cell data from mass cytometry and flow cytometry. This method simplifies understanding cell phenotypes for immunological analysis.

Keywords:
AnalysisCancerClinicalMass cytometryNK cellsT cells

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Area of Science:

  • Immunology
  • Computational Biology
  • Data Visualization

Background:

  • Mass cytometry enables high-parameter immunological analysis, generating complex datasets.
  • Existing analysis methods often cluster cells based on protein expression similarity.
  • There is a need for intuitive methods to interpret these high-dimensional datasets.

Purpose of the Study:

  • To introduce a novel visualization method for high-parameter cytometry data.
  • To simplify the interpretation of cell population phenotypes.
  • To provide an intuitive tool for analyzing complex immunological datasets.

Main Methods:

  • Development of a new visualization technique termed Brick plots.
  • Brick plots generate a two-dimensional barcode representing cluster phenotypes.
  • Application of Brick plots to mass cytometry and flow cytometry data.

Main Results:

  • Brick plots effectively visualize cell cluster phenotypes in a simplified manner.
  • The method allows for intuitive comparison of cluster phenotypes across the entire dataset.
  • Demonstrated utility in both fundamental research and clinical trial data.

Conclusions:

  • Brick plots provide a novel and intuitive approach for visualizing complex immunological data.
  • This method enhances the interpretability of high-parameter cytometry datasets.
  • Brick plots facilitate a deeper understanding of cellular phenotypes in immunology.