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B 细胞受体文库的深度测序。

Deep sequencing of B cell receptor repertoire.

机构信息

Department of Biological Sciences, College of Natural Sciences, Ajou University, Suwon 16499, Korea.

出版信息

BMB Rep. 2019 Sep;52(9):540-547. doi: 10.5483/BMBRep.2019.52.9.192.

Abstract

Immune repertoire is a collection of enormously diverse adaptive immune cells within an individual. As the repertoire shapes and represents immunological conditions, identification of clones and characterization of diversity are critical for understanding how to protect ourselves against various illness such as infectious diseases and cancers. Over the past several years, fast growing technologies for high throughput sequencing have facilitated rapid advancement of repertoire research, enabling us to observe the diversity of repertoire at an unprecedented level. Here, we focus on B cell receptor (BCR) repertoire and review approaches to B cell isolation and sequencing library construction. These experiments should be carefully designed according to BCR regions to be interrogated, such as heavy chain full length, complementarity determining regions, and isotypes. We also highlight preprocessing steps to remove sequencing and PCR errors with unique molecular index and bioinformatics techniques. Due to the nature of massive sequence variation in BCR, caution is warranted when interpreting repertoire diversity from error-prone sequencing data. Furthermore, we provide a summary of statistical frameworks and bioinformatics tools for clonal evolution and diversity. Finally, we discuss limitations of current BCR-seq technologies and future perspectives on advances in repertoire sequencing. [BMB Reports 2019; 52(9): 540-547].

摘要

免疫受体库是个体中大量多样化的适应性免疫细胞的集合。由于受体库塑造并代表免疫状况,因此识别克隆和描述多样性对于了解如何预防各种疾病(如传染病和癌症)至关重要。在过去的几年中,高通量测序技术的快速发展促进了受体库研究的快速发展,使我们能够以前所未有的水平观察受体库的多样性。在这里,我们专注于 B 细胞受体(BCR)受体库,并回顾 B 细胞分离和测序文库构建的方法。这些实验应根据要检测的 BCR 区域(如重链全长、互补决定区和同种型)精心设计。我们还强调了使用独特分子索引和生物信息学技术去除测序和 PCR 错误的预处理步骤。由于 BCR 序列的巨大变异性质,在解释易错测序数据中的受体库多样性时需要谨慎。此外,我们还提供了用于克隆进化和多样性的统计框架和生物信息学工具的摘要。最后,我们讨论了当前 BCR-seq 技术的局限性以及受体库测序技术的未来发展前景。[BMB 报告 2019;52(9):540-547]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec7a/6774421/12bf9cb0cfb8/bmb-52-540f1.jpg

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