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bioRxiv · 10.1101/2022.09.22.509079

An optimized workflow to generate and characterize iPSC-derived motor neuron (MN) spheroids

Castellanos-Montiel, M. J.·Chaineau, M.·Franco-Flores, A. K.·Haghi, G.·Carrillo-Valenzuela, D.·Reintsch, W. E.·Chen, C. X.-Q.·Durcan, T. M.
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Abstract

Motor neuron diseases (MNDs) are characterized by the progressive degeneration of motor neurons (MNs) from the cortex, brainstem and/or the spinal cord. In an effort to understand the underlying causes of this selective degeneration, a multitude of in vitro models based on induced pluripotent stem cell (iPSC)-derived MNs have been developed. Moreover, different groups have started to use advanced 3D structures, composed of MNs and other cell types to increase the physiological relevance of such in vitro models. For instance, spheroids are simple 3D models that have the potential to be generated in large numbers that can be used across different assays. In this study, we generated MN spheroids and developed a workflow to analyze them. We confirmed the expression of different MN markers as the MN spheroids differentiate, at both the transcript and protein level, as well as their capacity to display functional activity in the form of action potentials (APs) and bursts. We also identified the presence of other cell types, namely interneurons and oligodendrocytes, which share the same neural progenitor pool with MNs. In summary, we successfully developed a MN 3D model, and we optimized a workflow that can be applied to their characterization and analysis. In the future, we will apply this model and workflow to the study of MNDs by generating MN spheroids from patient-derived iPSC lines, aiming to contribute to the development of more advance and physiological in vitro disease models.

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Castellanos-Montiel, M. J., Chaineau, M., Franco-Flores, A. K., Haghi, G., Carrillo-Valenzuela, D., Reintsch, W. E., Chen, C. X.-Q., Durcan, T. M.. 2022-09-23. An optimized workflow to generate and characterize iPSC-derived motor neuron (MN) spheroids. https://doi.org/10.1101/2022.09.22.509079

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