Investigate potential immunotherapies 

By using 3D cell models, we can recapitulate many aspects of the tumor microenvironment which simply cannot be reproduced when using 2D models, helping us get a better understanding of how a specific therapy might perform in patients. Equally, by using automation, we can significantly increase the potential throughput of this assay whilst decreasing manual effort and improving reliability. 

In this example workflow, we use a BioAssemblyBot® 400 Automated Bioprinting Solution to plate cancer cells as they grow into spheroids, and to add activated T-cells. We then use an ImageXpress Confocal HT.ai High-Content Imaging System to both monitor spheroid growth and to evaluate the degree of T-cell infiltration. Finally, a SpectraMax® iD5 Multi-Mode Microplate Reader is used to evaluate cytokine levels - a marker of the level of immune response. 

Want to perform a similar workflow in your lab? Contact our team today. 

APPLICATION NOTE

T-cell therapies are designed to help our immune system eliminate cancer cells. However, the complexities of tumors inside the body are difficult to recapitulate in 2D cell assays. Using 3D models, such as spheroids, enables improved evaluation of these immunotherapies, identifying those with potential for further development. 

Discover how you can access the power of machine learning and 3D imaging to quickly and easily compare the effects of T-cells on the growth and development of tumor spheroids.