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3D Cultures of Parkinsons Disease‐Specific Dopaminergic Neurons for High Content Phenotyping and Drug Testing

机译:帕金森氏病特定的多巴胺能神经元的3D培养用于高含量表型和药物测试

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摘要

Parkinson's disease (PD)‐specific neurons, grown in standard 2D cultures, typically only display weak endophenotypes. The cultivation of PD patient‐specific neurons, derived from induced pluripotent stem cells carrying the LRRK2‐G2019S mutation, is optimized in 3D microfluidics. The automated image analysis algorithms are implemented to enable pharmacophenomics in disease‐relevant conditions. In contrast to 2D cultures, this 3D approach reveals robust endophenotypes. High‐content imaging data show decreased dopaminergic differentiation and branching complexity, altered mitochondrial morphology, and increased cell death in LRRK2‐G2019S neurons compared to isogenic lines without using stressor agents. Treatment with the LRRK2 inhibitor 2 (Inh2) rescues LRRK2‐G2019S‐dependent dopaminergic phenotypes. Strikingly, a holistic analysis of all studied features shows that the genetic background of the PD patients, and not the LRRK2‐G2019S mutation, constitutes the strongest contribution to the phenotypes. These data support the use of advanced in vitro models for future patient stratification and personalized drug development.
机译:在标准2D文化中生长的帕金森氏病(PD)特定神经元通常仅表现出弱内表型。在3D微流控技术中优化了源自携带LRRK2-G2019S突变的诱导多能干细胞的PD患者特定神经元的培养。实施了自动图像分析算法,以在与疾病相关的情况下实现药理学研究。与2D文化相比,这种3D方法揭示了强大的内表型。高含量成像数据显示,与不使用应激源的等基因系相比,LRRK2-G2019S神经元的多巴胺能分化和分支复杂性降低,线粒体形态改变以及细胞死亡增加。 LRRK2抑制剂2(Inh2)的治疗可挽救LRRK2-G2019S依赖性多巴胺能表型。引人注目的是,对所有研究特征的整体分析表明,PD患者的遗传背景而不是LRRK2-G2019S突变构成了对该表型的最强贡献。这些数据支持将先进的体外模型用于将来的患者分层和个性化药物开发。

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