Division of Infection and Immunity, UCL, London, UK.
Department of Computer Science, UCL, London, UK.
Methods Mol Biol. 2022;2574:135-158. doi: 10.1007/978-1-0716-2712-9_6.
Adaptive immunity recognizes and responds to tumors, although they are part of the immunological "self." T cells, both CD4+ and CD8+, play a key role in the process, and the specific set of receptors which recognize tumor antigens therefore has the potential to provide prognostic biomarkers for tracking tumor growth after cancer therapy, including immunotherapy. Most published data on the T cell repertoire continue to rely on commercial proprietary methods, which often do not allow access to the raw data, and are difficult to validate. We describe an open-source protocol for amplifying, sequencing, and analyzing T cell receptors which is economical, robust, sensitive, and versatile. The key experimental step is the ligation of a single-stranded oligonucleotide to the 3' end of the T cell receptor cDNA, which allows easy amplification of all possible rearrangements using only a single set of primers per locus, while simultaneously introducing a unique molecular identifier to label each starting cDNA molecule. After sequencing, this molecular identifier can be used to correct both sequence errors and the effects of differential PCR amplification efficiency, thus producing a more accurate measure of the true T cell receptor frequency within the sample. Samples are then tagged with unique pairs of indices, facilitating robotic scale-up and significantly reducing cross-sample contamination from index hopping. This method has been applied to the analysis of tumor-infiltrating lymphocytes and matched peripheral blood samples from patients with a variety of solid tumors.
适应性免疫可识别和响应肿瘤,尽管肿瘤是免疫“自我”的一部分。T 细胞(包括 CD4+和 CD8+)在该过程中发挥关键作用,因此识别肿瘤抗原的特定受体集有可能为癌症治疗后(包括免疫治疗)的肿瘤生长提供预后生物标志物。大多数关于 T 细胞受体库的已发表数据仍然依赖于商业专有方法,这些方法通常不允许访问原始数据,并且难以验证。我们描述了一种经济、稳健、灵敏且通用的开源 T 细胞受体扩增、测序和分析方案。关键的实验步骤是将单链寡核苷酸连接到 T 细胞受体 cDNA 的 3'端,这允许仅使用每基因座的一组引物轻松扩增所有可能的重排,同时同时引入独特的分子标识符来标记每个起始 cDNA 分子。测序后,该分子标识符可用于纠正序列错误和差异 PCR 扩增效率的影响,从而更准确地测量样品中真正的 T 细胞受体频率。然后使用独特的配对索引标记样品,促进机器人扩展,并大大减少索引跳跃引起的样品间交叉污染。该方法已应用于分析来自各种实体瘤患者的肿瘤浸润淋巴细胞和匹配的外周血样本。