Analysis of immunoglobulin (Ig) repertoires aims to comprehend Ig diversity with the goal of predicting humoral immune responses in the context of infection, vaccination, autoimmunity, and malignancies. The first next-generation sequencing (NGS) analyses of bulk B cell populations dramatically advanced sampling depth over previous low-throughput single-cell-based protocols, albeit at the expense of accuracy and loss of chain-pairing information. In recent years the field has substantially differentiated, with bulk analyses becoming more accurate while single-cell approaches have gained in throughput. Additionally, new platforms striving to combine high throughput and chain pairing have been developed as well as various computational tools for analysis. Here we review the developments of the past 4-5 years and discuss the open challenges.

中文翻译：

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分析免疫球蛋白库的新颖方法。

免疫球蛋白（Ig）库的分析旨在理解Ig多样性，以预测在感染，疫苗接种，自身免疫和恶性肿瘤情况下的体液免疫反应。第一批下一代B细胞群体测序（NGS）分析比以前的低通量单细胞方案大大提高了采样深度，尽管是以准确性和丢失链对信息为代价的。近年来，该领域已大为不同，批量分析变得更加准确，而单细胞方法的吞吐量有所提高。此外，已经开发了将高吞吐量和链对结合在一起的新平台以及用于分析的各种计算工具。在这里，我们回顾了过去4-5年的发展并讨论了开放的挑战。