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使用高变区高通量测序追踪抗病毒治疗期间TCRβ序列克隆型的扩增情况。

Tracking TCRβ Sequence Clonotype Expansions during Antiviral Therapy Using High-Throughput Sequencing of the Hypervariable Region.

作者信息

Robinson Mark W, Hughes Joseph, Wilkie Gavin S, Swann Rachael, Barclay Stephen T, Mills Peter R, Patel Arvind H, Thomson Emma C, McLauchlan John

机构信息

MRC - University of Glasgow Centre for Virus Research, Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK; School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

MRC - University of Glasgow Centre for Virus Research, Institute of Infection, Immunity and Inflammation, University of Glasgow , Glasgow , UK.

出版信息

Front Immunol. 2016 Apr 5;7:131. doi: 10.3389/fimmu.2016.00131. eCollection 2016.

DOI:10.3389/fimmu.2016.00131
PMID:27092143
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4820669/
Abstract

To maintain a persistent infection viruses such as hepatitis C virus (HCV) employ a range of mechanisms that subvert protective T cell responses. The suppression of antigen-specific T cell responses by HCV hinders efforts to profile T cell responses during chronic infection and antiviral therapy. Conventional methods of detecting antigen-specific T cells utilize either antigen stimulation (e.g., ELISpot, proliferation assays, cytokine production) or antigen-loaded tetramer staining. This limits the ability to profile T cell responses during chronic infection due to suppressed effector function and the requirement for prior knowledge of antigenic viral peptide sequences. Recently, high-throughput sequencing (HTS) technologies have been developed for the analysis of T cell repertoires. In the present study, we have assessed the feasibility of HTS of the TCRβ complementarity determining region (CDR)3 to track T cell expansions in an antigen-independent manner. Using sequential blood samples from HCV-infected individuals undergoing antiviral therapy, we were able to measure the population frequencies of >35,000 TCRβ sequence clonotypes in each individual over the course of 12 weeks. TRBV/TRBJ gene segment usage varied markedly between individuals but remained relatively constant within individuals across the course of therapy. Despite this stable TRBV/TRBJ gene segment usage, a number of TCRβ sequence clonotypes showed dramatic changes in read frequency. These changes could not be linked to therapy outcomes in the present study; however, the TCRβ CDR3 sequences with the largest fold changes did include sequences with identical TRBV/TRBJ gene segment usage and high junction region homology to previously published CDR3 sequences from HCV-specific T cells targeting the HLA-B0801-restricted (1395)HSKKKCDEL(1403) and HLA-A0101-restricted (1435)ATDALMTGY(1443) epitopes. The pipeline developed in this proof of concept study provides a platform for the design of future experiments to accurately address the question of whether T cell responses contribute to SVR upon antiviral therapy. This pipeline represents a novel technique to analyze T cell dynamics in situations where conventional antigen-dependent methods are limited due to suppression of T cell functions and highly diverse antigenic sequences.

摘要

为维持持续性感染,丙型肝炎病毒(HCV)等病毒会采用一系列破坏保护性T细胞反应的机制。HCV对抗原特异性T细胞反应的抑制阻碍了在慢性感染和抗病毒治疗期间分析T细胞反应的工作。检测抗原特异性T细胞的传统方法要么利用抗原刺激(如酶联免疫斑点法、增殖试验、细胞因子产生),要么利用负载抗原的四聚体染色。由于效应功能受到抑制以及需要事先了解抗原性病毒肽序列,这限制了在慢性感染期间分析T细胞反应的能力。最近,已开发出高通量测序(HTS)技术用于分析T细胞库。在本研究中,我们评估了对TCRβ互补决定区(CDR)3进行HTS以抗原非依赖方式追踪T细胞扩增的可行性。利用接受抗病毒治疗的HCV感染者的连续血样,我们能够在12周的过程中测量每个个体中超过35,000种TCRβ序列克隆型的群体频率。TRBV/TRBJ基因片段的使用在个体之间有显著差异,但在治疗过程中个体内部保持相对稳定。尽管TRBV/TRBJ基因片段的使用稳定,但一些TCRβ序列克隆型的读取频率显示出显著变化。在本研究中,这些变化与治疗结果无关;然而,变化倍数最大的TCRβ CDR3序列确实包括与先前发表的针对HLA - B0801限制性(1395)HSKKKCDEL(1403)和HLA - A0101限制性(1435)ATDALMTGY(1443)表位的HCV特异性T细胞的CDR3序列具有相同TRBV/TRBJ基因片段使用和高连接区同源性的序列。在这个概念验证研究中开发的流程为设计未来实验提供了一个平台,以准确解决抗病毒治疗后T细胞反应是否有助于实现持续病毒学应答(SVR)的问题。该流程代表了一种新技术,用于在传统的抗原依赖方法由于T细胞功能抑制和高度多样的抗原序列而受到限制的情况下分析T细胞动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5c/4820669/b4296adb24da/fimmu-07-00131-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5c/4820669/86d451707b11/fimmu-07-00131-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5c/4820669/b0e864d19142/fimmu-07-00131-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5c/4820669/b4296adb24da/fimmu-07-00131-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5c/4820669/86d451707b11/fimmu-07-00131-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5c/4820669/b0e864d19142/fimmu-07-00131-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5c/4820669/b4296adb24da/fimmu-07-00131-g004.jpg

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