van der Geest Kornelis S M, Abdulahad Wayel H, Horst Gerda, Lorencetti Pedro G, Bijzet Johan, Arends Suzanne, van der Heiden Marieke, Buisman Anne-Marie, Kroesen Bart-Jan, Brouwer Elisabeth, Boots Annemieke M H
Department of Rheumatology and Clinical Immunology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Department of Rheumatology and Clinical Immunology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Center for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
PLoS One. 2015 Apr 29;10(4):e0125373. doi: 10.1371/journal.pone.0125373. eCollection 2015.
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.
测量T细胞受体(TCR)库的变化对许多医学领域都很重要。流式细胞术是研究TCR库的一种常用技术,因为它能快速洞察明确界定的T细胞群体中TCR-Vβ的使用情况。然而,流式细胞术数据的解读仍然困难,TCR库的细微变化可能未被察觉。在此,我们介绍一种分析TCR-Vβ使用情况的流式细胞术数据的新方法。通过应用经济统计学,我们从流式细胞术TCR-Vβ分析中计算出基尼-TCR偏斜指数。基尼-TCR偏斜指数是TCR-Vβ在T细胞中分布的直接度量,使我们能够追踪不同T细胞群体中TCR库的细微变化。将基尼-TCR偏斜指数应用于流式细胞术TCR-Vβ分析将极大地有助于更好地理解健康和疾病状态下的TCR库。