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优化基因编码电压指示剂的开发策略。

Optimizing Strategies for Developing Genetically Encoded Voltage Indicators.

作者信息

Kannan Madhuvanthi, Vasan Ganesh, Pieribone Vincent A

机构信息

The John B. Pierce Laboratory, New Haven, CT, United States.

Department of Cellular and Molecular Physiology, Yale School of Medicine, Yale University, New Haven, CT, United States.

出版信息

Front Cell Neurosci. 2019 Feb 26;13:53. doi: 10.3389/fncel.2019.00053. eCollection 2019.

Abstract

Genetically encoded optical indicators of neuronal activity enable unambiguous recordings of input-output activity patterns from identified cells in intact circuits. Among them, genetically encoded voltage indicators (GEVIs) offer additional advantages over calcium indicators as they are direct sensors of membrane potential and can adeptly report subthreshold events and hyperpolarization. Here, we outline the major GEVI designs and give an account of properties that need to be carefully optimized during indicator engineering. While designing the ideal GEVI, one should keep in mind aspects such as membrane localization, signal size, signal-to-noise ratio, kinetics and voltage dependence of optical responses. Using ArcLight and derivatives as prototypes, we delineate how a probe should be optimized for the former properties and developed along other areas in a need-based manner. Finally, we present an overview of the GEVI engineering process and lend an insight into their discovery, delivery and diagnosis.

摘要

神经元活动的基因编码光学指示剂能够对完整神经回路中特定细胞的输入-输出活动模式进行明确记录。其中,基因编码电压指示剂(GEVIs)相较于钙指示剂具有更多优势,因为它们是膜电位的直接传感器,能够灵敏地报告阈下事件和超极化。在此,我们概述了主要的GEVI设计,并阐述了在指示剂工程过程中需要仔细优化的特性。在设计理想的GEVI时,应考虑诸如膜定位、信号大小、信噪比、动力学以及光学响应的电压依赖性等方面。以ArcLight及其衍生物为原型,我们描述了如何针对上述特性优化探针,并根据需求在其他方面进行改进。最后,我们对GEVI工程过程进行了概述,并深入探讨了它们在发现、传递和诊断方面的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a4/6399427/119cba450aa3/fncel-13-00053-g001.jpg

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