© 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.
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