Identification of organ-specific T cell populations by analysis of multiparameter flow cytometry data using DNA-chip analysis software
Article first published online: 27 APR 2006
Copyright © 2006 International Society for Analytical Cytology
Cytometry Part A
Volume 69A, Issue 6, pages 533–540, June 2006
How to Cite
Hofmann, M. and Zerwes, H.-G. (2006), Identification of organ-specific T cell populations by analysis of multiparameter flow cytometry data using DNA-chip analysis software. Cytometry, 69A: 533–540. doi: 10.1002/cyto.a.20278
- Issue published online: 16 MAY 2006
- Article first published online: 27 APR 2006
- Manuscript Accepted: 28 FEB 2006
- Manuscript Revised: 30 SEP 2005
- Manuscript Received: 30 JUN 2005
- flow cytometry;
- cell surface antigens;
- tissue distribution;
- microarray analysis;
- multivariate analysis
The analysis of cells from multiple experimental groups by multiparameter flow cytometry leads to the generation of complex data sets, for which adequate analysis tools are not commonly available. We report here that software designed for transcriptomics applications can be used in multiparameter flow cytometry.
Lymphocytes isolated from nine different mouse organs were stained and subjected to 10-parameter flow cytometry. The resulting data set contained 594 different T cell subsets per organ per mouse and was organized into a so-called flow cytometry array (FCA).
Computation of a hierarchical tree revealed that lymph nodes and spleen were populated by similar T cell subsets, while T cells from peripheral organs displayed a diverse subset composition. Furthermore, organ-specific T cell subsets were identified.
This new FCA concept in flow cytomics proved to be a valuable tool for the fast and unbiased analysis of complex multiparameter flow cytometry data sets. It can be used for assessing disease progression and therapeutic intervention, and for the association of disease-related biomarkers on the protein level. © 2006 International Society for Analytical Cytology