IPSC-Based Disease Modeling and Functional Assessment of Neurons in Patients with Metabolic Disorder.

Abstract

The advancement in technology has allowed us to identify and accurately detect new mutations causing genetic disorders. However, their underlying physiological mechanisms of manifestation are not well understood. This chapter is a non-invasive blueprint to how iPSC-based disease modeling can be used to understand the neural activity and provide mechanistic insights for inborn disorder patients with neurological dysfunction seen more prominently with metabolic disorder patients. It has increasingly become easier to create personalized iPSCs from both specific patients and corresponding age and sex-matched controls by using their blood samples. These iPSCs can be used to generate any cell type of the body. This chapter covers how iPSCs can be generated from blood cells and their characterization followed by instructions on differentiating these iPSCs into mature neurons in a petri dish. The chapter most importantly describes how these mature neurons can be evaluated for their activity by using multi-well microelectrode array system and its analysis. This method of generating personalized iPSC derived neurons and their endpoint assessment can be applied to many clinical and preclinical studies. This iPSC-based application can be extrapolated to study any condition which can affect neuronal activity.