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Visualization of cell composition and maturation in the bone marrow using 10-color flow cytometry and radar plots

Jafari, Katayoon; Tierens, Anne M.; Rajab, Amr; Musani, Rumina; Schuh, André and Porwit, Anna LU (2017) In Cytometry Part B - Clinical Cytometry
Abstract

Background: The enormous potential of complex data files generated by 10-color flow cytometry (FC) is hindered by the requirement for exhaustive manual gating and the complexity of multidimensional data visualization. We propose a model using radar plots (RPs), to improve FC data visualization by capturing multidimensionality and integration of FC findings. Method: We analysed 12 normal/reactive bone marrow (N/R BM) samples and 12 BM samples from patients with myelodysplasia (MDS) with 10-color FC. All identifiable cell clusters were individually marked, grouped, and visualized on radar plots. RPs were optimized to de-clutter the cell clusters and map BM cell composition and maturation. Results: A total of 27 immature and mature cell... (More)

Background: The enormous potential of complex data files generated by 10-color flow cytometry (FC) is hindered by the requirement for exhaustive manual gating and the complexity of multidimensional data visualization. We propose a model using radar plots (RPs), to improve FC data visualization by capturing multidimensionality and integration of FC findings. Method: We analysed 12 normal/reactive bone marrow (N/R BM) samples and 12 BM samples from patients with myelodysplasia (MDS) with 10-color FC. All identifiable cell clusters were individually marked, grouped, and visualized on radar plots. RPs were optimized to de-clutter the cell clusters and map BM cell composition and maturation. Results: A total of 27 immature and mature cell clusters were identified and visualized on 8 multidimensional radar plots. The RPs displayed flow cytometry findings of normal BM in an integrated fashion to maximize overall insight into the data set. The constructed map of bone marrow cell composition was reproducible in all normal BM samples analyzed. Analysis of the pilot cohort of patient samples confirmed the presence of MDS-related changes. These changes are readily identifiable on RPs. Conclusion: We demonstrated that the cell clusters of normal BM can be mapped on multidimensional radar plots, which provide an inclusive insight into BM cell composition and maturation. These reproducible RPs present a comprehensive and comprehensible visual display of differentiation and maturation of haematopoietic cells in normal BM, and can be used as a reference map to assess abnormal haematopoiesis in MDS.

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author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Bone marrow, Data visualization, Flow cytometry, MDS, Multidimensional, Radar plot
in
Cytometry Part B - Clinical Cytometry
publisher
John Wiley & Sons
external identifiers
  • scopus:85016226745
ISSN
1552-4949
DOI
10.1002/cyto.b.21519
language
English
LU publication?
yes
id
ce424ba4-2ff8-42a3-ae17-4707ff5ece7d
date added to LUP
2017-04-19 11:38:03
date last changed
2018-04-08 04:55:56
@article{ce424ba4-2ff8-42a3-ae17-4707ff5ece7d,
  abstract     = {<p>Background: The enormous potential of complex data files generated by 10-color flow cytometry (FC) is hindered by the requirement for exhaustive manual gating and the complexity of multidimensional data visualization. We propose a model using radar plots (RPs), to improve FC data visualization by capturing multidimensionality and integration of FC findings. Method: We analysed 12 normal/reactive bone marrow (N/R BM) samples and 12 BM samples from patients with myelodysplasia (MDS) with 10-color FC. All identifiable cell clusters were individually marked, grouped, and visualized on radar plots. RPs were optimized to de-clutter the cell clusters and map BM cell composition and maturation. Results: A total of 27 immature and mature cell clusters were identified and visualized on 8 multidimensional radar plots. The RPs displayed flow cytometry findings of normal BM in an integrated fashion to maximize overall insight into the data set. The constructed map of bone marrow cell composition was reproducible in all normal BM samples analyzed. Analysis of the pilot cohort of patient samples confirmed the presence of MDS-related changes. These changes are readily identifiable on RPs. Conclusion: We demonstrated that the cell clusters of normal BM can be mapped on multidimensional radar plots, which provide an inclusive insight into BM cell composition and maturation. These reproducible RPs present a comprehensive and comprehensible visual display of differentiation and maturation of haematopoietic cells in normal BM, and can be used as a reference map to assess abnormal haematopoiesis in MDS.</p>},
  author       = {Jafari, Katayoon and Tierens, Anne M. and Rajab, Amr and Musani, Rumina and Schuh, André and Porwit, Anna},
  issn         = {1552-4949},
  keyword      = {Bone marrow,Data visualization,Flow cytometry,MDS,Multidimensional,Radar plot},
  language     = {eng},
  month        = {03},
  publisher    = {John Wiley & Sons},
  series       = {Cytometry Part B - Clinical Cytometry},
  title        = {Visualization of cell composition and maturation in the bone marrow using 10-color flow cytometry and radar plots},
  url          = {http://dx.doi.org/10.1002/cyto.b.21519},
  year         = {2017},
}