Rapid generation of antigen-specific monoclonal antibodies from single mouse B cells.

Xuanxiu Ren, Yiwei Zhang, Gan Zhang, Shangyu Yang, Feiyang Yu, Rao Cheng, Zengqin Deng, Haiyan Zhao
{"title":"Rapid generation of antigen-specific monoclonal antibodies from single mouse B cells.","authors":"Xuanxiu Ren, Yiwei Zhang, Gan Zhang, Shangyu Yang, Feiyang Yu, Rao Cheng, Zengqin Deng, Haiyan Zhao","doi":"10.52601/bpr.2025.240067","DOIUrl":null,"url":null,"abstract":"<p><p>Identifying immunoglobulin (Ig) genes from antigen-specific B cells is crucial for understanding immune responses and generating monoclonal antibodies for diagnostic and therapeutic purposes. Despite single B cell PCR-based mouse antibody development is well established, several practical challenges remain. Here, we present an optimized protocol for the sequencing and cloning of variable regions of antibodies from single antigen-specific mouse B cells, along with high-throughput antibody expression and characterization. This method builds upon existing techniques, incorporating laboratory refinements and detailed troubleshooting insights. By integrating fluorescence-activated cell sorting (FACS) with reverse transcription polymerase chain reaction (RT-PCR) to amplify immunoglobulin heavy and light chain genes, along with a 12-well format for antibody expression, our refined approach enables efficient monoclonal antibody production and functional screening, thereby accelerating the antibody discovery workflow across a range of experimental applications.</p>","PeriodicalId":93906,"journal":{"name":"Biophysics reports","volume":"11 4","pages":"246-257"},"PeriodicalIF":0.0000,"publicationDate":"2025-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12418097/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophysics reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52601/bpr.2025.240067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Identifying immunoglobulin (Ig) genes from antigen-specific B cells is crucial for understanding immune responses and generating monoclonal antibodies for diagnostic and therapeutic purposes. Despite single B cell PCR-based mouse antibody development is well established, several practical challenges remain. Here, we present an optimized protocol for the sequencing and cloning of variable regions of antibodies from single antigen-specific mouse B cells, along with high-throughput antibody expression and characterization. This method builds upon existing techniques, incorporating laboratory refinements and detailed troubleshooting insights. By integrating fluorescence-activated cell sorting (FACS) with reverse transcription polymerase chain reaction (RT-PCR) to amplify immunoglobulin heavy and light chain genes, along with a 12-well format for antibody expression, our refined approach enables efficient monoclonal antibody production and functional screening, thereby accelerating the antibody discovery workflow across a range of experimental applications.

Abstract Image

Abstract Image

从单个小鼠B细胞中快速产生抗原特异性单克隆抗体。
从抗原特异性B细胞中鉴定免疫球蛋白(Ig)基因对于理解免疫反应和产生用于诊断和治疗目的的单克隆抗体至关重要。尽管基于单B细胞pcr的小鼠抗体开发已经建立,但仍存在一些实际挑战。在这里,我们提出了一种优化的方案,用于从单个抗原特异性小鼠B细胞中测序和克隆抗体可变区域,以及高通量抗体表达和表征。该方法建立在现有技术的基础上,结合实验室改进和详细的故障排除见解。通过整合荧光活化细胞分选(FACS)与逆转录聚合酶链反应(RT-PCR)来扩增免疫球蛋白重链和轻链基因,以及抗体表达的12孔格式,我们的改进方法能够高效地生产单克隆抗体和功能筛选,从而加快抗体发现工作流程,跨越一系列实验应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
8 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信