Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics

Kornelis S. M. van der Geest*, Wayel H. Abdulahad, Gerda Horst, Pedro G. Lorencetti, Johan Bijzet, Suzanne Arends, Marieke van der Heiden, Anne-Marie Buisman, Bart-Jan Kroesen, Elisabeth Brouwer, Annemieke M. H. Boots

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

14 Citaten (Scopus)
250 Downloads (Pure)


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.

Originele taal-2English
Aantal pagina's12
TijdschriftPLoS ONE
Nummer van het tijdschrift4
StatusPublished - 29-apr-2015

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