Department of Applied Science, McGlothlin-Street Hall, Room 318, The College of William & Mary, Williamsburg, VA 23187-8795, USA.
J Physiol. 2013 May 15;591(10):2393-401. doi: 10.1113/jphysiol.2012.247338. Epub 2013 Feb 25.
A key feature of neurodegenerative disease is the pathological loss of neurons that participate in generating behaviour. To investigate network properties of neural circuits and provide a complementary tool to study neurodegeneration in vitro or in situ, we developed an automated cell-specific laser detection and ablation system. The instrument consists of a two-photon and visible-wavelength confocal imaging setup, controlled by executive software, that identifies neurons in preparations based on genetically encoded fluorescent proteins or Ca(2+) imaging, and then sequentially ablates cell targets while monitoring network function concurrently. Pathological changes in network function can be directly attributed to ablated cells, which are logged in real time. Here, we investigated brainstem respiratory circuits to demonstrate single-cell precision in ablation during physiological network activity, but the technique could be applied to interrogate network properties in neural systems that retain network functionality in reduced preparations in vitro or in situ.
神经退行性疾病的一个主要特征是参与产生行为的神经元发生病理性丧失。为了研究神经网络的特性,并为体外或原位研究神经退行性变提供一种补充工具,我们开发了一种自动的、针对特定细胞的激光检测和消融系统。该仪器由双光子和可见波长共聚焦成像装置组成,由执行软件控制,根据基因编码的荧光蛋白或 Ca(2+)成像来识别制剂中的神经元,然后顺序地消融细胞靶标,同时监测网络功能。网络功能的病理变化可以直接归因于被消融的细胞,这些细胞被实时记录。在这里,我们研究了脑干呼吸回路,以证明在生理网络活动期间进行单细胞精度消融,但是该技术可以应用于体外或原位保留网络功能的减少制剂中,来研究神经网络的特性。