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不同的TCRBV基因在人类T细胞中产生偏向性的V-D-J多样性模式。

Different TCRBV genes generate biased patterns of V-D-J diversity in human T cells.

作者信息

Quiròs Roldan E, Sottini A, Bettinardi A, Albertini A, Imberti L, Primi D

机构信息

Department of Chemistry, School of Medicine, University of Brescia, Italy.

出版信息

Immunogenetics. 1995;41(2-3):91-100. doi: 10.1007/BF00182318.

Abstract

The aim of this work was to assess whether each T-cell receptor (TCR) BV segment generates a random pattern of junctional diversity or if, alternatively, biased patterns of V-D-J rearrangements limit the number of available TCR specificities. Detailed molecular analysis of T-cell receptors expressed by lymphocytes was obtained by generating a large number of junctional regions sequences from TCRBV3, TCRBV4, TCRBV5S1, TCRBV12, TCRBV13S2, TCRBV17, TCRBV20, and TCRBV22 variable genes. The > 800 sequences analyzed have allowed the characterization of the recombination frequencies of each germline-encoded V, D, and J segments, as well as of the magnitude of exonucleolytic nibbling and of the number of N nucleotides inserted for each group of TCRB segments. The data obtained indicate that the extent of junctional diversity varies considerably depending on the TCRBV gene implicated in the recombination event, due to the occurrence of skewed patterns of J and D region usage. Furthermore, our results show that "illegitimate" rearrangements occur with unexpectedly high incidence, specifically at the level of TCRBD to TCRBJ joining. These findings provide additional information for a more accurate estimation of the size of the TCRBV repertoire and for understanding the well-established biased pattern of TCRBV expression in humans.

摘要

这项工作的目的是评估每个T细胞受体(TCR)BV区段是否产生连接多样性的随机模式,或者相反,V-D-J重排的偏向模式是否会限制可用TCR特异性的数量。通过从TCRBV3、TCRBV4、TCRBV5S1、TCRBV12、TCRBV13S2、TCRBV17、TCRBV20和TCRBV22可变基因生成大量连接区序列,对淋巴细胞表达的T细胞受体进行了详细的分子分析。所分析的800多个序列使得能够对每个种系编码的V、D和J区段的重组频率,以及核酸外切酶蚕食的程度和每组TCRB区段插入的N核苷酸数量进行表征。所获得的数据表明,由于J和D区使用模式的偏斜,连接多样性的程度根据参与重组事件的TCRBV基因而有很大差异。此外,我们的结果表明,“非法”重排的发生率出乎意料地高,特别是在TCRBD到TCRBJ连接的水平上。这些发现为更准确地估计TCRBV库的大小以及理解人类中已确立的TCRBV表达偏向模式提供了额外的信息。

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