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

Front Bioeng Biotechnol. 2024 Sep 20:12:1459273. doi: 10.3389/fbioe.2024.1459273. eCollection 2024.

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.

Keywords: CRISPR/Cas9; StemCellFactory; automation; genome editing; iPS cells; induced pluripotent stem cells.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was co-funded by the Ministry of Culture and Science of the State of North Rhine-Westphalia and the European Regional Development Fund (EFRE) (StemCellFactory I), the Ministry of Culture and Science of the State of North Rhine-Westphalia (StemCellFactory II), and the European Regional Development Fund (EFRE) (Stem Cell Factory III). MAST was funded by a CAPES-Alexander von Humboldt postdoctoral fellowship (Grant number 99999.001703/2014-05) and a donation from Ulrich Lehmann.