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高通量单细胞筛选活杂交瘤和患者来源的分泌抗体细胞使用可穿孔微孔。

High-throughput single-cell screening of viable hybridomas and patient-derived antibody-secreting cells using punchable microwells.

机构信息

Laboratory of Pharmaceutical Biotechnology, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium.

Department of Pharmaceutics, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium.

出版信息

Artif Cells Nanomed Biotechnol. 2024 Dec;52(1):426-436. doi: 10.1080/21691401.2024.2395815. Epub 2024 Aug 29.

DOI:10.1080/21691401.2024.2395815
PMID:39206935
Abstract

Monoclonal antibodies (mAbs) hold significant potential as therapeutic agents and are invaluable tools in biomedical research. However, the lack of efficient high-throughput screening methods for single antibody-secreting cells (ASCs) has limited the diversity of available antibodies. Here, we introduce a novel, integrated workflow employing self-seeding microwells and an automated microscope-puncher system for the swift, high-throughput screening and isolation of single ASCs. The system allows for the individual screening and isolation of up to 6,400 cells within approximately one day, with the opportunity for parallelization and efficient upscaling. We successfully applied this workflow to both hybridomas and human patient-derived B cells, enabling subsequent clonal expansion or antibody sequence analysis through an optimized, single-cell nested reverse transcription-polymerase chain reaction (RT-PCR) procedure. By providing a time-efficient and more streamlined single ASC screening and isolation process, our workflow holds promise for driving forward progress in mAb development.

摘要

单克隆抗体 (mAbs) 作为治疗剂具有重要的潜力,并且是生物医学研究中非常有价值的工具。然而,缺乏有效的高通量筛选方法来分离单个抗体分泌细胞 (ASCs),限制了可用抗体的多样性。在这里,我们介绍了一种新颖的集成工作流程,该流程使用自播种微井和自动化显微镜打孔器系统,可快速、高通量地筛选和分离单个 ASC。该系统允许在大约一天内对多达 6400 个细胞进行单独筛选和分离,具有并行化和高效扩展的机会。我们成功地将该工作流程应用于杂交瘤和人源患者来源的 B 细胞,通过优化的单细胞巢式逆转录聚合酶链反应 (RT-PCR) 程序进行后续克隆扩增或抗体序列分析。通过提供高效和更精简的单个 ASC 筛选和分离过程,我们的工作流程有望推动 mAb 开发的进展。

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Artif Cells Nanomed Biotechnol. 2024 Dec;52(1):426-436. doi: 10.1080/21691401.2024.2395815. Epub 2024 Aug 29.
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