Shen, Y;
Chaigne-Delalande, B;
Lee, RWJ;
Losert, W;
(2018)
CytoBinning: Immunological insights from multi-dimensional data.
PLOS ONE
, 13
(10)
, Article e0205291. 10.1371/journal.pone.0205291.
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Abstract
New cytometric techniques continue to push the boundaries of multi-parameter quantitative data acquisition at the single-cell level particularly in immunology and medicine. Sophisticated analysis methods for such ever higher dimensional datasets are rapidly emerging, with advanced data representations and dimensional reduction approaches. However, these are not yet standardized and clinical scientists and cell biologists are not yet experienced in their interpretation. More fundamentally their range of statistical validity is not yet fully established. We therefore propose a new method for the automated and unbiased analysis of high-dimensional single cell datasets that is simple and robust, with the goal of reducing this complex information into a familiar 2D scatter plot representation that is of immediate utility to a range of biomedical and clinical settings. Using publicly available flow cytometry and mass cytometry datasets we demonstrate that this method (termed CytoBinning), recapitulates the results of traditional manual cytometric analyses and leads to new and testable hypotheses.
Type: | Article |
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Title: | CytoBinning: Immunological insights from multi-dimensional data |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1371/journal.pone.0205291 |
Publisher version: | https://doi.org/10.1371/journal.pone.0205291 |
Language: | English |
Additional information: | This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication (https://creativecommons.org/publicdomain/zero/1.0/). |
Keywords: | Cytotoxic T cells, T cells, Cytometry, Flow cytometry, Immune cells, Cell cycle and cell division, Cell differentiation, Immunology |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10114660 |
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