Immunology Alfred Hospital, Central Clinical School, Monash University, Melbourne, VIC, Australia.
Department of Biochemistry, University of Oxford, Oxford, UK.
Methods Mol Biol. 2024;2826:31-44. doi: 10.1007/978-1-0716-3950-4_3.
Next-generation sequencing has the potential to uncover the complex nature of B cell immunity by revealing the full complexity of B cell receptor (BCR) repertoires in health and disease. However, there are drawbacks which can compromise the validity of the repertoire analysis caused by quantitative bias and accumulation of sequencing errors during the library preparation and sequencing. Here, we provide an optimized protocol designed to minimize bias for reproducible and accurate preparation of human BCR repertoire libraries for high-throughput sequencing.
下一代测序技术有可能通过揭示健康和疾病状态下 B 细胞受体(BCR)库的全貌,揭示 B 细胞免疫的复杂性。然而,在文库制备和测序过程中,由于定量偏差和测序错误的积累,会对 repertoire 分析的有效性造成影响。在此,我们提供了一种优化的方案,旨在最小化偏倚,以实现高通量测序中人 BCR 库的可重复和准确制备。