Department of Neurology, University Medical Center Göttingen and German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Department of Medicine, The University of Melbourne, Parkville, Victoria, Australia.
Nat Protoc. 2016 Nov;11(11):2233-2242. doi: 10.1038/nprot.2016.120. Epub 2016 Oct 13.
The development and adaption of in vitro misfolded protein amplification systems has been a major innovation in the detection of abnormally folded prion protein scrapie (PrP) in human brain and cerebrospinal fluid (CSF) samples. Herein, we describe a fast and efficient protein amplification technique, real-time quaking-induced conversion (RT-QuIC), for the detection of a PrP seed in human brain and CSF. In contrast to other in vitro misfolded protein amplification assays-such as protein misfolding cyclic amplification (PMCA)-which are based on sonication, the RT-QuIC technique is based on prion seed-induced misfolding and aggregation of recombinant prion protein substrate, accelerated by alternating cycles of shaking and rest in fluorescence plate readers. A single RT-QuIC assay typically analyzes up to 32 samples in triplicate, using a 96-well-plate format. From sample preparation to analysis of results, the protocol takes ∼87 h to complete. In addition to diagnostics, this technique has substantial generic analytical applications, including drug screening, prion strain discrimination, biohazard screening (e.g., to reduce transmission risk related to prion diseases) and the study of protein misfolding; in addition, it can potentially be used for the investigation of other protein misfolding diseases such as Alzheimer's and Parkinson's disease.
体外错误折叠蛋白扩增系统的发展和适应是检测人类大脑和脑脊液(CSF)样本中异常折叠朊病毒蛋白(PrP)的重大创新。在此,我们描述了一种快速有效的蛋白质扩增技术,实时震颤诱导转化(RT-QuIC),用于检测人类大脑和 CSF 中的 PrP 种子。与其他基于超声的体外错误折叠蛋白扩增检测方法(如蛋白错误折叠循环扩增(PMCA))不同,RT-QuIC 技术基于朊病毒种子诱导的重组朊病毒蛋白底物的错误折叠和聚集,通过在荧光板读数器中交替的摇动和静止循环来加速。单个 RT-QuIC 测定通常使用 96 孔板格式分析多达 32 个样本的三重复。从样品制备到结果分析,该方案大约需要 87 小时才能完成。除了诊断外,该技术还具有广泛的通用分析应用,包括药物筛选、朊病毒株鉴别、生物危害筛选(例如,降低与朊病毒病相关的传播风险)和蛋白质错误折叠研究;此外,它还可能用于研究其他蛋白质错误折叠疾病,如阿尔茨海默病和帕金森病。