Quantifying distribution of flow cytometric TCR-Vβ usage with economic statistics

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Abstract

© 2015 van der Geest et al. Measuring changes of the T cell receptor (TCR) repertoire is important to many fields of medicine. Flow cytometry is a popular technique to study the TCR repertoire, as it quickly provides insight into the TCR-Vβ usage among well-defined populations of T cells. However, the interpretation of the flow cytometric data remains difficult, and subtle TCR repertoire changes may go undetected. Here, we introduce a novel means for analyzing the flow cytometric data on TCR-Vβ usage. By applying economic statistics, we calculated the Gini-TCR skewing index from the flow cytometric TCR-Vβ analysis. The Gini-TCR skewing index, which is a direct measure of TCR-Vβ distribution among T cells, allowed us to track subtle changes of the TCR repertoire among distinct populations of T cells. Application of the Gini- TCR skewing index to the flow cytometric TCR-Vβ analysis will greatly help to gain better understanding of the TCR repertoire in health and disease.

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APA

Van Der Geest, K. S. M., Abdulahad, W. H., Horst, G., Lorencetti, P. G., Bijzet, J., Arends, S., … Boots, A. M. H. (2015). Quantifying distribution of flow cytometric TCR-Vβ usage with economic statistics. PLoS ONE, 10(4). https://doi.org/10.1371/journal.pone.0125373

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