Department of Molecular Genetics and Microbiology, School of Medicine, University of New Mexico, Albuquerque, NM, USA.
Clinical and Translational Science Center, University of New Mexico Health Sciences, Albuquerque, NM, USA.
Methods Mol Biol. 2023;2681:399-406. doi: 10.1007/978-1-0716-3279-6_23.
Deep sequence-coupled biopanning (DSCB) is a powerful tool that couples affinity selection of a bacteriophage MS2 virus-like particle peptide display platform with deep sequencing. While this approach has been used successfully to investigate pathogen-specific antibody responses in human sera, data analysis is time-consuming and complicated. Here, we describe a streamlined data analysis method for DSCB using MATLAB, expanding the potential for this approach to be deployed rapidly and consistently.
深序列偶联生物淘选（DSCB）是一种强大的工具，它将噬菌体 MS2 病毒样颗粒肽展示平台的亲和选择与深度测序相结合。虽然这种方法已成功用于研究人类血清中的病原体特异性抗体反应，但数据分析既耗时又复杂。在这里，我们使用 MATLAB 描述了一种用于 DSCB 的简化数据分析方法，从而扩大了该方法快速一致部署的潜力。
