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LUHMES细胞中与帕金森病相关的线粒体和神经元形态高通量筛选试验

A Parkinson's Disease-relevant Mitochondrial and Neuronal Morphology High-throughput Screening Assay in LUHMES Cells.

作者信息

Leah Tom, Vazquez-Villaseñor Irina, Ferraiuolo Laura, Wharton Stephen B, Mortiboys Heather

机构信息

Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.

出版信息

Bio Protoc. 2021 Jan 5;11(1):e3881. doi: 10.21769/BioProtoc.3881.

Abstract

Parkinson's disease is a devastating neurodegenerative disorder affecting 2-3% of the population over 65 years of age. There is currently no disease-modifying treatment. One of the predominant pathological features of Parkinson's disease is mitochondrial dysfunction, and much work has aimed to identify therapeutic compounds which can restore the disrupted mitochondrial physiology. However, modelling mitochondrial dysfunction in a disease-relevant model, suitable for screening large compound libraries for ameliorative effects, represents a considerable challenge. Primary patient derived cells, SHSY-5Y cells and models of Parkinson's disease have been utilized extensively to study the contribution of mitochondrial dysfunction in Parkinson's. Indeed many studies have utilized LUHMES cells to study Parkinson's disease, however LUHMES cells have not been used as a compound screening model for PD-associated mitochondrial dysfunction previously, despite possessing several advantages compared to other frequently used models, such as rapid differentiation and high uniformity (, in contrast to iPSC-derived neurons), and relevant physiology as human mesencephalic tissue capable of differentiating into dopaminergic-like neurons that highly express characteristic markers. After previously generating GFP-LUHMES cells to model metabolic dysfunction, we report this protocol using GFP-LUHMES cells for high-throughput compound screening in a restoration model of PD-associated mitochondrial dysfunction. This protocol describes the use of a robust and reproducible toxin-induced GFP-LUHMES cell model for high throughput compound screening by assessing a range of mitochondrial and neuronal morphological parameters. We also provide detailed instructions for data and statistical analysis, including example calculations of Z'-score to assess statistical effect size across independent experiments.

摘要

帕金森病是一种毁灭性的神经退行性疾病,影响着2%-3%的65岁以上人群。目前尚无疾病修饰疗法。帕金森病的主要病理特征之一是线粒体功能障碍,许多研究致力于寻找能够恢复受损线粒体生理功能的治疗化合物。然而,在与疾病相关的模型中模拟线粒体功能障碍,以筛选大型化合物库的改善效果,是一项相当大的挑战。原发性患者来源的细胞、SHSY-5Y细胞以及帕金森病模型已被广泛用于研究线粒体功能障碍在帕金森病中的作用。事实上,许多研究都利用LUHMES细胞来研究帕金森病,然而,尽管与其他常用模型相比,LUHMES细胞具有一些优势,如快速分化和高度一致性(与诱导多能干细胞衍生的神经元不同),以及作为能够分化为高表达特征性标志物的多巴胺能样神经元的人类中脑组织的相关生理学特性,但此前尚未将其用作帕金森病相关线粒体功能障碍的化合物筛选模型。在先前生成GFP-LUHMES细胞以模拟代谢功能障碍之后,我们报告了该方案,即使用GFP-LUHMES细胞在帕金森病相关线粒体功能障碍的恢复模型中进行高通量化合物筛选。该方案描述了通过评估一系列线粒体和神经元形态学参数,使用一种强大且可重复的毒素诱导GFP-LUHMES细胞模型进行高通量化合物筛选。我们还提供了数据和统计分析的详细说明,包括用于评估独立实验中统计效应大小的Z'分数的示例计算。

相似文献

本文引用的文献

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Parkinson disease.帕金森病。
Nat Rev Dis Primers. 2017 Mar 23;3:17013. doi: 10.1038/nrdp.2017.13.

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