Modeling Parkinson’s disease in midbrain-like organoids

Lisa M. Smits(University of Luxembourg), Lydia Reinhardt(Max Planck Institute for Molecular Biomedicine), Peter Reinhardt(Klinikum Ludwigshafen), Michael Glatza(Max Planck Institute for Molecular Biomedicine), Anna S. Monzel(University of Luxembourg), Nancy Stanslowsky(Medizinische Hochschule Hannover), Marcelo D. Rosato‐Siri(Eurac Research), Alessandra Zanon(Eurac Research), Paul Antony(University of Luxembourg), Jessica Bellmann(Technische Universität Dresden), Sarah Nicklas(University of Luxembourg), Kathrin Hemmer(University of Luxembourg), Xiaobing Qing(University of Luxembourg), Emanuel Berger(University of Luxembourg), Norman Kalmbach(Medizinische Hochschule Hannover), Marc Ehrlich(Max Planck Institute for Molecular Biomedicine), Silvia Bolognin(University of Luxembourg), Andrew A. Hicks(Eurac Research), Florian Wegner(Medizinische Hochschule Hannover), Jared Sterneckert(Max Planck Institute for Molecular Biomedicine), Jens C. Schwamborn(University of Luxembourg)
npj Parkinson s Disease
April 5, 2019
Cited by 344Open Access
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Abstract

Abstract Modeling Parkinson’s disease (PD) using advanced experimental in vitro models is a powerful tool to study disease mechanisms and to elucidate unexplored aspects of this neurodegenerative disorder. Here, we demonstrate that three-dimensional (3D) differentiation of expandable midbrain floor plate neural progenitor cells (mfNPCs) leads to organoids that resemble key features of the human midbrain. These organoids are composed of midbrain dopaminergic neurons (mDANs), which produce and secrete dopamine. Midbrain-specific organoids derived from PD patients carrying the LRRK2- G2019S mutation recapitulate disease-relevant phenotypes. Automated high-content image analysis shows a decrease in the number and complexity of mDANs in LRRK2- G2019S compared to control organoids. The floor plate marker FOXA2, required for mDAN generation, increases in PD patient-derived midbrain organoids, suggesting a neurodevelopmental defect in mDANs expressing LRRK2- G2019S. Thus, we provide a robust method to reproducibly generate 3D human midbrain organoids containing mDANs to investigate PD-relevant patho-mechanisms.


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