The adaptive immune response is a powerful tool, capable of recognizing, binding to, and neutralizing a vast number of internal and external threats via T or B lymphatic receptors with widespread sets of antigen specificities. The emergence of high-throughput sequencing technology and bioinformatics provides opportunities for research in the fields of life sciences and medicine. The analysis and annotation for immune repertoire data can reveal biologically meaningful information, including immune prediction, target antigens, and effective evaluation. Continuous improvements of the immunological repertoire sequencing methods and analysis tools will help to minimize the experimental and calculation errors and realize the immunological information to meet the clinical requirements. That said, the clinical application of adaptive immune repertoire sequencing requires appropriate experimental methods and standard analytical tools. At the population cell level, we can acquire the overview of cell groups, but the information about a single cell is not obtained accurately. The information that is ignored may be crucial for understanding the heterogeneity of each cell, gene expression and drug response. The combination of high-throughput sequencing and single-cell technology allows us to obtain single-cell information with low-cost and high-throughput. In this review, we summarized the current methods and progress in this area.

中文翻译：

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适应性免疫受体库测序的方法和进展。

适应性免疫反应是一种强大的工具，能够通过具有广泛抗原特异性的 T 或 B 淋巴受体识别、结合和中和大量内部和外部威胁。高通量测序技术和生物信息学的出现为生命科学和医学领域的研究提供了机遇。对免疫库数据的分析和注释可以揭示具有生物学意义的信息，包括免疫预测、靶抗原和有效评估。免疫库测序方法和分析工具的不断改进将有助于最大限度地减少实验和计算误差，实现免疫学信息满足临床需求。也就是说，适应性免疫组库测序的临床应用需要适当的实验方法和标准的分析工具。在群体细胞水平上，我们可以获得细胞群体的概况，但无法准确获得单个细胞的信息。被忽略的信息对于理解每个细胞的异质性、基因表达和药物反应可能至关重要。高通量测序与单细胞技术的结合使我们能够低成本、高通量地获得单细胞信息。在这篇综述中，我们总结了该领域当前的方法和进展。