Automated CRISPR/Cas9-based genome editing of human pluripotent stem cells using the StemCellFactory

使用 StemCellFactory 自动对人类多能干细胞进行基于 CRISPR/Cas9 的基因组编辑

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作者:Bastian Nießing #, Yannik Breitkreuz #, Andreas Elanzew, Marcelo A S de Toledo, Peter Vajs, Marina Nolden, Frederik Erkens, Paul Wanek, Si Wah Christina Au Yeung, Simone Haupt, Niels König, Michael Peitz, Robert H Schmitt, Martin Zenke, Oliver Brüstle

Abstract

CRISPR/Cas9 genome editing is a rapidly advancing technology that has the potential to accelerate research and development in a variety of fields. However, manual genome editing processes suffer from limitations in scalability, efficiency, and standardization. The implementation of automated systems for genome editing addresses these challenges, allowing researchers to cover the increasing need and perform large-scale studies for disease modeling, drug development, and personalized medicine. In this study, we developed an automated CRISPR/Cas9-based genome editing process on the StemCellFactory platform. We implemented a 4D-Nucleofector with a 96-well shuttle device into the StemCellFactory, optimized several parameters for single cell culturing and established an automated workflow for CRISPR/Cas9-based genome editing. When validated with a variety of genetic backgrounds and target genes, the automated workflow showed genome editing efficiencies similar to manual methods, with indel rates of up to 98%. Monoclonal colony growth was achieved and monitored using the StemCellFactory-integrated CellCelector, which allowed the exclusion of colonies derived from multiple cells or growing too close to neighbouring colonies. In summary, we demonstrate the successful establishment of an automated CRISPR/Cas9-based genome editing process on the StemCellFactory platform. The development of such a standardized and scalable automated CRISPR/Cas9 system represents an exciting new tool in genome editing, enhancing our ability to address a wide range of scientific questions in disease modeling, drug development and personalized medicine.

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