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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.
Afiliación
  • Norton SE; Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.
  • Leman JKH; Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.
  • Khong T; Myeloma Research Group, Australian Centre for Blood Diseases, Alfred Hospital-Monash University, Melbourne, VIC, Australia.
  • Spencer A; Malignant Hematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia.
  • Fazekas de St Groth B; Myeloma Research Group, Australian Centre for Blood Diseases, Alfred Hospital-Monash University, Melbourne, VIC, Australia.
  • McGuire HM; Malignant Hematology and Stem Cell Transplantation, Alfred Hospital, Melbourne, VIC, Australia.
  • Kemp RA; Ramaciotti Facility for Human Systems Biology, The University of Sydney and Centenary Institute, Sydney, Australia.
BMC Bioinformatics ; 21(1): 145, 2020 Apr 15.
Article en En | MEDLINE | ID: mdl-32293253
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Espectrometría de Masas / Inmunofenotipificación Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Nueva Zelanda

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Espectrometría de Masas / Inmunofenotipificación Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Nueva Zelanda