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一种通过实时聚合酶链反应分析人类T细胞受体库的新方法。

A novel method for analysis of human T cell repertoires by real-time PCR.

作者信息

Wettstein Peter J, Borson Nancy D, Kay Neil E

机构信息

Department of Surgery, Mayo Clinic, Guggenheim 5, 200 First St. SW, Rochester, MN 55902, USA; Department of Immunology, Mayo Clinic, Guggenheim 5, 200 First St. SW, Rochester, MN 55902, USA.

Division of Hematology, Mayo Clinic, Stabile 6, 200 First St. SW, Rochester, MN 55902, USA.

出版信息

J Immunol Methods. 2014 Oct;412:24-34. doi: 10.1016/j.jim.2014.06.013. Epub 2014 Jun 28.

Abstract

T lymphocyte responses to challenges with multiple pathogens depend on the diversity of their T cell receptors (TcRs) that are heteroduplexes of alpha and beta chains. The regions of alpha and beta chains that define TcR specificity are encoded by rearranged variable (V) and joining (J) genes that are separated by variable numbers of nucleotides that encode the complementarity determining region 3 (CDR3). The assumption that a "healthy" T cell compartment exhibits broad TcR and CDR3 diversity has driven development of methods to evaluate diversity of TcR beta transcripts expressed by T lymphocyte populations and subpopulations in inflammatory sites and human malignancies. To that end, we have developed the BV:BJ matrix assay that uniquely generates a single statistic that describes TcR repertoire diversity and improves identification of beta transcripts expressed by expanded T cell clonotypes. The BV:BJ matrix uses rigorously selected primers specific for individual V and J genes to amplify beta transcripts in real-time PCRs driven by 533 BV:BJ primer pairs. The quantitative control of real-time PCRs produces Shannon entropy estimates of diversity that are reproducible over a range of template amounts and amenable to statistical analyses that have been difficult to perform with existing methods of repertoire analysis.

摘要

T淋巴细胞对多种病原体攻击的反应取决于其T细胞受体(TcR)的多样性,TcR是由α链和β链组成的异源双链体。定义TcR特异性的α链和β链区域由重排的可变(V)基因和连接(J)基因编码,这些基因被可变数量的核苷酸分隔,这些核苷酸编码互补决定区3(CDR3)。“健康”的T细胞库表现出广泛的TcR和CDR3多样性这一假设推动了评估炎症部位和人类恶性肿瘤中T淋巴细胞群体和亚群体表达的TcRβ转录本多样性方法的发展。为此,我们开发了BV:BJ矩阵分析方法,该方法独特地生成一个单一统计量来描述TcR库多样性,并改进了对扩增的T细胞克隆型表达的β转录本的鉴定。BV:BJ矩阵使用针对单个V基因和J基因严格筛选的引物,在由533对BV:BJ引物驱动的实时PCR中扩增β转录本。实时PCR的定量控制产生多样性的香农熵估计值,该估计值在一系列模板量范围内具有可重复性,并且适合于现有库分析方法难以进行的统计分析。

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