Development of a Hybrid-Type Fluorescent GABA Sensor through Structure-Guided Efficient Screening.

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Kenji Takikawa,Shigeyuki Namiki,Keitaro Umezawa,Daisuke Asanuma,Kenzo Hirose,Hiroshi Nishimune
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引用次数: 0

Abstract

γ-Aminobutyric acid (GABA) is a major inhibitory neurotransmitter in the brain, and visualizing its fast synaptic dynamics is crucial for understanding neural function. However, detecting these transient signals requires sensors with both high spatiotemporal resolution and robust performance under physiological conditions. Here, we report the development of a novel hybrid-type fluorescent GABA sensor generated by site-specifically labeling a fluorescent dye onto a GABA-binding protein. For efficiently identifying the optimal labeling site, we devised a structure-guided screening strategy based on a principle derived from our comprehensive analysis of a homologous glutamate-binding protein: that optimal labeling sites are primarily concentrated at the edge of the cleft regions. Applying this principle to an AI-predicted structure of the GABA-binding protein led to the identification of our lead sensor, Pf622 G183C-JF585, which exhibits a large dynamic range (>300%), high selectivity for GABA with little response to other neurotransmitters, fast kinetics, and excellent stability within the physiological pH range. Importantly, Pf622 G183C-JF585 successfully detected endogenous GABA released from cultured neurons upon electrical stimulation, demonstrating its utility for detecting the transient release of GABA. This new high-performance sensor, therefore, represents a powerful tool for the spatiotemporal analysis of GABAergic neurotransmission.
基于结构导向高效筛选的混合型荧光GABA传感器的研制。
γ-氨基丁酸(GABA)是大脑中一种主要的抑制性神经递质,可视化其快速突触动力学对理解神经功能至关重要。然而,检测这些瞬态信号需要传感器在生理条件下具有高时空分辨率和鲁棒性。在这里,我们报道了一种新型杂交型荧光GABA传感器的开发,该传感器通过在GABA结合蛋白上特异性标记荧光染料而产生。为了有效地确定最佳标记位点,我们设计了一种结构导向的筛选策略,该策略基于我们对同源谷氨酸结合蛋白的综合分析得出的原则:最佳标记位点主要集中在裂缝区域的边缘。将这一原理应用于人工智能预测的GABA结合蛋白结构,鉴定出我们的先导传感器Pf622 g183a - jf585,该传感器具有大动态范围(>300%),对GABA的选择性高,对其他神经递质反应小,动力学快,在生理pH范围内具有出色的稳定性。重要的是,Pf622 G183C-JF585成功检测了培养神经元在电刺激下释放的内源性GABA,证明了它在检测GABA瞬时释放方面的实用性。因此,这种新型高性能传感器代表了gaba能神经传递的时空分析的有力工具。
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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