Merck Biotech Development Center, Ares Trading SA (an affiliate of Merck KGaA, Darmstadt, Germany), Fenil-sur-Corsier, Switzerland.
Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Biotechnol J. 2024 May;19(5):e2300488. doi: 10.1002/biot.202300488.
Improving current cell line development workflows can either focus on increasing the specific productivity of the cell lines or shortening timelines to reach the clinic as fast as possible. In this work, using the Beacon platform, we have combined two distinct protocols - early cloning with low-viability pools, and IgG membrane staining-, to concomitantly reach both objectives, and generate highly productive CHO clones in shorter timelines. Fast-sorting approaches using low-viability pools in combination with the Beacon platform have recently been reported to shorten CLD timelines. However, the low recovery led to a drastic reduction in the clone number obtained postcloning. Here, we report a combined approach of fast-sorting and fluorescent membrane staining. With this new protocol, the cells reach a correct recovery, allowing to fully exploit the Beacon screening capacities. In addition, by using a fluorescent staining recognizing the secreted IgG, we were able to enrich the fraction of highly secreting cells prior to cloning and we obtained significant increases in the cell's specific productivity. The combination of these two protocols has a synergistic effect, and as they help discarding the dead and nonproducing populations prior to cloning, they increase the throughput power of the Beacon platform and the detection of super productive clones.
改进当前的细胞系开发工作流程可以侧重于提高细胞系的特定生产率,或者缩短时间线,尽快进入临床阶段。在这项工作中,我们使用 Beacon 平台将两种不同的方案结合在一起——早期克隆与低活力池,以及 IgG 膜染色——同时达到这两个目标,并在更短的时间内生成高产的 CHO 克隆。最近有报道称,使用低活力池的快速分选方法与 Beacon 平台相结合可以缩短 CLD 时间线。然而,低回收率导致克隆后获得的克隆数量急剧减少。在这里,我们报告了一种快速分选和荧光膜染色的联合方法。使用这种新方案,细胞达到了正确的恢复,从而充分利用了 Beacon 的筛选能力。此外,通过使用识别分泌型 IgG 的荧光染色,我们能够在克隆前富集高分泌细胞的分数,并显著提高细胞的比生产率。这两种方案的结合具有协同作用,因为它们有助于在克隆前去除死亡和非生产性细胞,从而提高了 Beacon 平台的通量能力和超级生产性克隆的检测能力。