Norton SE, Leman JKH, Khong T, Spencer A, Fazekas de St Groth B, McGuire HM, Kemp RA. Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters.
BMC Bioinformatics 2020;
21:145. [PMID:
32293253 PMCID:
PMC7158154 DOI:
10.1186/s12859-020-3469-y]
[Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 03/24/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND
The advent of mass cytometry has dramatically increased the parameter limit for immunological analysis. New approaches to analysing high parameter cytometry data have been developed to ease analysis of these complex datasets. Many of these methods assign cells into population clusters based on protein expression similarity.
RESULTS
Here we introduce an additional method, termed Brick plots, to visualize these cluster phenotypes in a simplified and intuitive manner. The Brick plot method generates a two-dimensional barcode that displays the phenotype of each cluster in relation to the entire dataset. We show that Brick plots can be used to visualize complex mass cytometry data, both from fundamental research and clinical trials, as well as flow cytometry data.
CONCLUSION
Brick plots represent a new approach to visualize complex immunological data in an intuitive manner.
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