Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation

Cliburn Chan, Lin Lin, Jacob Frelinger, Valérie Hérbert, Dominic Gagnon, Claire Landry, Rafick Pierre Sékaly, Jennifer Enzor, Janet Staats, Kent J. Weinhold, Maria Jaimes, Mike West

Research output: Contribution to journalLetter

8 Citations (Scopus)

Abstract

The design of a panel to identify target cell subsets in flow cytometry can be difficult when specific markers unique to each cell subset do not exist, and a combination of parameters must be used to identify target cells of interest and exclude irrelevant events. Thus, the ability to objectively measure the contribution of a parameter or group of parameters toward target cell identification independent of any gating strategy could be very helpful for both panel design and gating strategy design. In this article, we propose a discriminative information measure evaluation (DIME) based on statistical mixture modeling; DIME is a numerical measure of the contribution of different parameters towards discriminating a target cell subset from all the others derived from the fitted posterior distribution of a Gaussian mixture model. Informally, DIME measures the "usefulness" of each parameter for identifying a target cell subset. We show how DIME provides an objective basis for inclusion or exclusion of specific parameters in a panel, and how ranked sets of such parameters can be used to optimize gating strategies. An illustrative example of the application of DIME to streamline the gating strategy for a highly standardized carboxyfluorescein succinimidyl ester (CFSE) assay is described.

Original languageEnglish (US)
Pages (from-to)1126-1136
Number of pages11
JournalCytometry Part A
Volume77 A
Issue number12
DOIs
StatePublished - Dec 1 2010

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Flow Cytometry
Esters
Normal Distribution
6-carboxyfluorescein

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Histology
  • Cell Biology

Cite this

Chan, Cliburn ; Lin, Lin ; Frelinger, Jacob ; Hérbert, Valérie ; Gagnon, Dominic ; Landry, Claire ; Sékaly, Rafick Pierre ; Enzor, Jennifer ; Staats, Janet ; Weinhold, Kent J. ; Jaimes, Maria ; West, Mike. / Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation. In: Cytometry Part A. 2010 ; Vol. 77 A, No. 12. pp. 1126-1136.
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Chan, C, Lin, L, Frelinger, J, Hérbert, V, Gagnon, D, Landry, C, Sékaly, RP, Enzor, J, Staats, J, Weinhold, KJ, Jaimes, M & West, M 2010, 'Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation', Cytometry Part A, vol. 77 A, no. 12, pp. 1126-1136. https://doi.org/10.1002/cyto.a.20987

Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation. / Chan, Cliburn; Lin, Lin; Frelinger, Jacob; Hérbert, Valérie; Gagnon, Dominic; Landry, Claire; Sékaly, Rafick Pierre; Enzor, Jennifer; Staats, Janet; Weinhold, Kent J.; Jaimes, Maria; West, Mike.

In: Cytometry Part A, Vol. 77 A, No. 12, 01.12.2010, p. 1126-1136.

Research output: Contribution to journalLetter

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T1 - Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation

AU - Chan, Cliburn

AU - Lin, Lin

AU - Frelinger, Jacob

AU - Hérbert, Valérie

AU - Gagnon, Dominic

AU - Landry, Claire

AU - Sékaly, Rafick Pierre

AU - Enzor, Jennifer

AU - Staats, Janet

AU - Weinhold, Kent J.

AU - Jaimes, Maria

AU - West, Mike

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N2 - The design of a panel to identify target cell subsets in flow cytometry can be difficult when specific markers unique to each cell subset do not exist, and a combination of parameters must be used to identify target cells of interest and exclude irrelevant events. Thus, the ability to objectively measure the contribution of a parameter or group of parameters toward target cell identification independent of any gating strategy could be very helpful for both panel design and gating strategy design. In this article, we propose a discriminative information measure evaluation (DIME) based on statistical mixture modeling; DIME is a numerical measure of the contribution of different parameters towards discriminating a target cell subset from all the others derived from the fitted posterior distribution of a Gaussian mixture model. Informally, DIME measures the "usefulness" of each parameter for identifying a target cell subset. We show how DIME provides an objective basis for inclusion or exclusion of specific parameters in a panel, and how ranked sets of such parameters can be used to optimize gating strategies. An illustrative example of the application of DIME to streamline the gating strategy for a highly standardized carboxyfluorescein succinimidyl ester (CFSE) assay is described.

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U2 - 10.1002/cyto.a.20987

DO - 10.1002/cyto.a.20987

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AN - SCOPUS:78649556232

VL - 77 A

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JO - Cytometry. Part A : the journal of the International Society for Analytical Cytology

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