A collaborative TURBO (Twente University RadBoudumc Opportunities) project developed an organ-on-a-chip device which can be used for modelling the neurovascular unit (NVU) while combining the expertise of both parties: blood vessel development and microfluidic chip design (University of Twente) and neuron generation and RNA-sequencing (Radboudumc). This research was performed at both the University of Twente, at the Applied Stem cell Technologies group, under supervision of Dr. Andries van der Meer, and the Radboudumc, at the department of Human Genetics, under supervision of Dr. Nael Nadif Kasri and was published in Scientific Reports on January 26th.
In vitro models are very important for understanding disease processes and for drug development. Most of the current systems lack the complexity that is present in the human body, such as different cell types or presence of blood vessels. Organs-on-chips are microfluidic systems with multiple channels in which different cell types can be cultured as well as adding a more “in vivo” like 3D environment. Before using these models in disease modeling or drug development, it is important to know if cells behave differently when cultured on these devices.
The researchers cultured different cell types important to the NVU, such as neurons, astrocytes and endothelial cells, on either the organ-on-chip device or a standard well plate and looked at differences in RNA-expression profiles. They saw a difference in cells between the two culturing devices. For example, they observed a higher maturity level of neurons when cultured on the organ-on-chip device. These observed differences were cell type specific and can be very interesting when designing and developing new models for disease modelling or drug development.
Read the study here: https://www.nature.com/articles/s41598-021-81933-x
Middelkamp, H.H.T., Verboven, A.H.A., De Sá Vivas, A.G. et al. Cell type-specific changes in transcriptomic profiles of endothelial cells, iPSC-derived neurons and astrocytes cultured on microfluidic chips. Sci Rep 11, 2281 (2021). https://doi.org/10.1038/s41598-021-81933-x
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