Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule (ETH Zürich), Mattenstrasse 26, Basel 4058, Switzerland.
Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule (ETH Zürich), Mattenstrasse 26, Basel 4058, Switzerland.
Trends Immunol. 2015 Nov;36(11):738-749. doi: 10.1016/j.it.2015.09.006. Epub 2015 Oct 25.
High-throughput sequencing (HTS) of immune repertoires has enabled the quantitative analysis of adaptive immune responses and offers the potential to revolutionize research in lymphocyte biology, vaccine profiling, and monoclonal antibody engineering. Advances in sequencing technology coupled to an exponential decline in sequencing costs have fueled the recent overwhelming interest in immune repertoire sequencing. This, in turn, has sparked the development of numerous methods for bioinformatic and statistics-driven interpretation and visualization of immune repertoires. Here, we review the current literature on bioinformatic and statistical analysis of immune repertoire HTS data and discuss underlying assumptions, applicability, and scope. We further highlight important directions for future research, which could propel immune repertoire HTS to becoming a standard method for measuring adaptive immune responses.
高通量测序（HTS）的免疫库使适应性免疫反应的定量分析成为可能，并有可能彻底改变淋巴细胞生物学、疫苗分析和单克隆抗体工程的研究。测序技术的进步，加上测序成本的急剧下降，激发了人们对免疫库测序的浓厚兴趣。反过来，这又激发了许多用于免疫库生物信息学和统计驱动解释和可视化的方法的发展。在这里，我们回顾了当前关于免疫库 HTS 数据的生物信息学和统计分析的文献，并讨论了其基本假设、适用性和范围。我们还进一步强调了未来研究的重要方向，这可能推动免疫库 HTS 成为衡量适应性免疫反应的标准方法。
