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Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters
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 ba...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7158154/ https://www.ncbi.nlm.nih.gov/pubmed/32293253 http://dx.doi.org/10.1186/s12859-020-3469-y |
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author | Norton, Samuel E. Leman, Julia K. H. Khong, Tiffany Spencer, Andrew Fazekas de St Groth, Barbara McGuire, Helen M. Kemp, Roslyn A. |
author_facet | Norton, Samuel E. Leman, Julia K. H. Khong, Tiffany Spencer, Andrew Fazekas de St Groth, Barbara McGuire, Helen M. Kemp, Roslyn A. |
author_sort | Norton, Samuel E. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7158154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71581542020-04-21 Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters Norton, Samuel E. Leman, Julia K. H. Khong, Tiffany Spencer, Andrew Fazekas de St Groth, Barbara McGuire, Helen M. Kemp, Roslyn A. BMC Bioinformatics Methodology Article 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. BioMed Central 2020-04-15 /pmc/articles/PMC7158154/ /pubmed/32293253 http://dx.doi.org/10.1186/s12859-020-3469-y Text en © The Author(s). 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Article Norton, Samuel E. Leman, Julia K. H. Khong, Tiffany Spencer, Andrew Fazekas de St Groth, Barbara McGuire, Helen M. Kemp, Roslyn A. Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters |
title | Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters |
title_full | Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters |
title_fullStr | Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters |
title_full_unstemmed | Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters |
title_short | Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters |
title_sort | brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7158154/ https://www.ncbi.nlm.nih.gov/pubmed/32293253 http://dx.doi.org/10.1186/s12859-020-3469-y |
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