Kota Krishna P, Soloveva Veronica, Wanner Laura M, Gomba Glenn, Kiris Erkan, Panchal Rekha G, Kane Christopher D, Bavari Sina
Perkin Elmer Inc.; Division of Molecular and Translational Sciences, US Army Medical Research Institute of Infectious Diseases;
Henry M. Jackson Foundation; Division of Molecular and Translational Sciences, US Army Medical Research Institute of Infectious Diseases; DoD Biotechnology High Performance Computing Software Applications Institute (BHSAI), Telemedicine and Advanced Technology Research Center (TATRC), US Army Medical Research and Materiel Command (USAMRMC).
J Vis Exp. 2014 Nov 14(93):e51915. doi: 10.3791/51915.
Synaptosomal-associated protein-25 (SNAP-25) is a component of the soluble NSF attachment protein receptor (SNARE) complex that is essential for synaptic neurotransmitter release. Botulinum neurotoxin serotype A (BoNT/A) is a zinc metalloprotease that blocks exocytosis of neurotransmitter by cleaving the SNAP-25 component of the SNARE complex. Currently there are no licensed medicines to treat BoNT/A poisoning after internalization of the toxin by motor neurons. The development of effective therapeutic measures to counter BoNT/A intoxication has been limited, due in part to the lack of robust high-throughput assays for screening small molecule libraries. Here we describe a high content imaging (HCI) assay with utility for identification of BoNT/A inhibitors. Initial optimization efforts focused on improving the reproducibility of inter-plate results across multiple, independent experiments. Automation of immunostaining, image acquisition, and image analysis were found to increase assay consistency and minimize variability while enabling the multiparameter evaluation of experimental compounds in a murine motor neuron system.
突触体相关蛋白25(SNAP - 25)是可溶性NSF附着蛋白受体(SNARE)复合体的一个组成部分,对突触神经递质释放至关重要。A型肉毒杆菌神经毒素(BoNT/A)是一种锌金属蛋白酶,通过切割SNARE复合体的SNAP - 25成分来阻断神经递质的胞吐作用。目前,在运动神经元内化毒素后,尚无获批用于治疗BoNT/A中毒的药物。由于缺乏用于筛选小分子文库的强大高通量检测方法,对抗BoNT/A中毒的有效治疗措施的开发受到了限制。在此,我们描述了一种用于鉴定BoNT/A抑制剂的高内涵成像(HCI)检测方法。最初的优化工作集中在提高多个独立实验中板间结果的可重复性。免疫染色、图像采集和图像分析的自动化被发现可提高检测的一致性并最小化变异性,同时能够在小鼠运动神经元系统中对实验化合物进行多参数评估。