Large Molecules Research, Sanofi, 94400 Vitry-Sur-Seine, France.
Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy-en-Josas, France.
Lab Chip. 2023 Jul 25;23(15):3487-3500. doi: 10.1039/d3lc00403a.
The search for new antibodies is a major field of pharmaceutical research that remains lengthy and costly due to the need for successive library screenings. Existing and antibody discovery processes require that libraries are repeatedly subcloned to switch the antibody format or the secretory host, a resource-intensive process. There is an urgent need for an antibody identification platform capable of screening large antibody libraries in their final soluble format. Previous attempts to develop such a platform have struggled to combine large antibody libraries with screening of high specificity, while retaining sufficient library diversity coverage (ability to detect rare events). Here, we describe a new antibody screening platform based on the encapsulation of antibody secreting yeast cells into picoreactor droplets. We developed and optimized a yeast strain capable of growing and secreting full-length human IgGs in picoreactors, and applied a microfluidics-based high-throughput screening approach to sort and recover target-specific antibody-secreting yeasts. Critically, the direct recovery of secretory yeasts allows for downstream screening and antibody characterization, without the need to reformat or subclone the coding sequences. We successfully increased the diversity coverage of sorting the antibody library without compromising sorting specificity by developing a new fluorescence signal processing methodology. By combining this drastically enhanced sorting efficiency with the high-throughput capability of droplet microfluidics, and the rapid growth of , our new platform is capable of screening millions of antibodies per day and enriching for target-specific ones in 4 days. This platform will enable the efficient screening of antibody libraries in a variety of contexts, including primary screening of synthetic libraries, affinity maturation, and identification of multi-specific or cross-reactive antibodies.
寻找新的抗体是药物研究的一个主要领域,但由于需要进行连续的文库筛选,这个过程仍然漫长而昂贵。现有的抗体发现过程需要将文库反复亚克隆以改变抗体形式或分泌宿主,这是一个资源密集型的过程。因此,我们迫切需要一种能够在最终可溶性形式下筛选大型抗体文库的抗体鉴定平台。以前开发这种平台的尝试在结合大型抗体文库与高特异性筛选方面遇到了困难,同时还需要保持足够的文库多样性覆盖(检测稀有事件的能力)。在这里,我们描述了一种基于将分泌抗体的酵母细胞封装在微反应器液滴中的新型抗体筛选平台。我们开发并优化了一种能够在微反应器中生长和分泌全长人免疫球蛋白的酵母菌株,并应用基于微流控的高通量筛选方法对目标特异性抗体分泌酵母进行分类和回收。关键的是,直接回收分泌酵母可以进行下游筛选和抗体表征,而无需重新格式化或亚克隆编码序列。我们通过开发一种新的荧光信号处理方法,成功地提高了对抗体库进行分类的多样性覆盖范围,而不会影响分类特异性。通过将这种大大提高的分类效率与液滴微流控的高通量能力以及的快速生长相结合,我们的新平台能够每天筛选数百万种抗体,并在 4 天内富集目标特异性抗体。该平台将能够在各种情况下高效筛选抗体文库,包括合成文库的初步筛选、亲和力成熟和识别多特异性或交叉反应性抗体。