iPSC-Derived Neuron Cell Cultures: Use, Development, and Automation

Miroslav Cik works at AbbVie at their Ludwigshafen site in Germany. His presentation focused on the automation of long-term cell-based models. The presentation was divided into three main sections: the use of iPSC-derived neurons, the development of new and more complex models, and the automation of these models. 

Cik began by discussing the use of induced pluripotent stem cell (iPSC)-derived neurons at AbbVie. These neurons are used to create various cell types, including neurons, astrocytes, and microglia, which support different projects and assays. The dual SMAD protocol was highlighted as a key method for producing neurons, although it requires up to 45 days for differentiation. The importance of having a well-spaced monolayer of neurons for high-content imaging assays was also noted. 

The second part of the presentation focused on the development of new and more complex models. Cik mentioned the use of dual SMAD and iNGN protocols to create different types of neurons. The iNGN protocol, which is shorter, allows for the production of neurons in about 16 days. The development of a new protocol combining iNGN with pre-differentiation stages was also discussed. This versatile protocol enables the production of various neural types, including midbrain neurons, DRG-like neurons, and motor neurons. Additionally, the presentation covered triculture experiments involving neurons, astrocytes, and microglia, which are used to study the effects of compounds on these cell types. 

The final section of the presentation addressed the automation of long-term cell-based models. Cik described the use of Hamilton's robotic setup and the CECULA batch scheduling software to automate the process. This approach allowed for the breaking down of long protocols into smaller, manageable pieces, providing flexibility and scalability. The combination of frozen, ready-to-use neurons and the automated system enabled experiments to be started at any time, including over weekends and holidays. This automation was expected to increase capacity, improve processes, and yield better results due to the consistency of the automated procedures.