Suppr超能文献

利用下一代抗原标记技术高效分离稀有 B 细胞。

Efficient isolation of rare B cells using next-generation antigen barcoding.

机构信息

Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, United States.

Center for Viral Systems Biology, Scripps Research, La Jolla, CA, United States.

出版信息

Front Cell Infect Microbiol. 2023 Mar 10;12:962945. doi: 10.3389/fcimb.2022.962945. eCollection 2022.

Abstract

The ability to efficiently isolate antigen-specific B cells in high throughput will greatly accelerate the discovery of therapeutic monoclonal antibodies (mAbs) and catalyze rational vaccine development. Traditional mAb discovery is a costly and labor-intensive process, although recent advances in single-cell genomics using emulsion microfluidics allow simultaneous processing of thousands of individual cells. Here we present a streamlined method for isolation and analysis of large numbers of antigen-specific B cells, including next generation antigen barcoding and an integrated computational framework for B cell multi-omics. We demonstrate the power of this approach by recovering thousands of antigen-specific mAbs, including the efficient isolation of extremely rare precursors of VRC01-class and IOMA-class broadly neutralizing HIV mAbs.

摘要

高效分离高通量抗原特异性 B 细胞的能力将极大地加速治疗性单克隆抗体(mAb)的发现,并促进合理疫苗的开发。传统的 mAb 发现是一个昂贵且劳动密集型的过程,尽管最近在使用乳液微流控技术的单细胞基因组学方面取得了进展,可以同时处理数千个单个细胞。在这里,我们提出了一种用于分离和分析大量抗原特异性 B 细胞的简化方法,包括下一代抗原条形码和用于 B 细胞多组学的集成计算框架。我们通过回收数千种抗原特异性 mAb 证明了这种方法的有效性,包括高效分离 VRC01 类和 IOMA 类广泛中和 HIV mAb 的极其罕见的前体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da16/10036767/99cc9bc9c1ab/fcimb-12-962945-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验