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一种用于优化和增强微流控辅助抗体发现的哺乳动物文库综合方法。

An integrated mammalian library approach for optimization and enhanced microfluidics-assisted antibody hit discovery.

机构信息

Protein Engineering and Antibody Technologies, Merck KGaA, Darmstadt, Germany.

Discovery Biology, Syngene International, Phase-IV, Bangalore, India.

出版信息

Artif Cells Nanomed Biotechnol. 2023 Dec;51(1):74-82. doi: 10.1080/21691401.2023.2173219.

Abstract

Recent years have seen the development of a variety of mammalian library approaches for display and secretion mode. Advantages include library approaches for engineering, preservation of precious immune repertoires and their repeated interrogation, as well as screening in final therapeutic format and host. Mammalian display approaches for antibody optimization exploit these advantages, necessitating the generation of large libraries but in turn enabling early screening for both manufacturability and target specificity. For suitable libraries, high antibody integration rates and resulting monoclonality need to be balanced - we present a solution for sufficient transmutability and acceptable monoclonality by applying an optimized ratio of coding to non-coding lentivirus. The recent advent of microfluidic-assisted hit discovery represents a perfect match to mammalian libraries in secretion mode, as the lower throughput fits well with the facile generation of libraries comprising a few million functional clones. In the presented work, Chinese Hamster Ovary cells were engineered to both express the target of interest and secrete antibodies in relevant formats, and specific clones were strongly enriched by high throughput screening for autocrine cellular binding. The powerful combination of mammalian secretion libraries and microfluidics-assisted hit discovery could reduce attrition rates and increase the probability to identify the best possible therapeutic antibody hits faster.

摘要

近年来,已经开发出了多种用于展示和分泌模式的哺乳动物文库方法。其优点包括用于工程设计的文库方法、保存珍贵的免疫库及其反复询问,以及在最终治疗形式和宿主中进行筛选。用于抗体优化的哺乳动物展示方法利用了这些优势,需要生成大型文库,但反过来又能够早期筛选制造可行性和目标特异性。对于合适的文库,需要平衡高抗体整合率和由此产生的单克隆性——我们通过应用优化的编码与非编码慢病毒比例为足够的可变形和可接受的单克隆性提供了一种解决方案。最近出现的微流控辅助命中发现与分泌模式的哺乳动物文库非常匹配,因为较低的通量与容易生成包含几百万个功能克隆的文库非常匹配。在本工作中,中国仓鼠卵巢细胞被工程化以表达感兴趣的靶标并以相关形式分泌抗体,并且通过高通量筛选用于自分泌细胞结合的特异性克隆被强烈富集。哺乳动物分泌文库和微流控辅助命中发现的强大组合可以降低损耗率,并增加更快地识别最佳治疗性抗体命中的可能性。

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