Suppr超能文献

使用基因编码电压指示剂ArcLight对小鼠嗅球中的不同细胞群进行成像。

Imaging different cell populations in the mouse olfactory bulb using the genetically encoded voltage indicator ArcLight.

作者信息

Leong Lee Min, Storace Douglas A

机构信息

Florida State University, Department of Biological Science, Tallahassee, Florida, United States.

Florida State University, Program in Neuroscience, Tallahassee, Florida, United States.

出版信息

Neurophotonics. 2024 Jul;11(3):033402. doi: 10.1117/1.NPh.11.3.033402. Epub 2024 Jan 17.

Abstract

Genetically encoded voltage indicators (GEVIs) are protein-based optical sensors that allow for measurements from genetically defined populations of neurons. Although imaging in the mammalian brain with early generation GEVIs was difficult due to poor membrane expression and low signal-to-noise ratio, newer and more sensitive GEVIs have begun to make them useful for answering fundamental questions in neuroscience. We discuss principles of imaging using GEVIs and genetically encoded calcium indicators, both useful tools for imaging of neuronal activity, and review some of the recent mechanistic advances that have led to GEVI improvements. We provide an overview of the mouse olfactory bulb (OB) and discuss recent studies using the GEVI ArcLight to study different cell types within the bulb using both widefield and two-photon microscopy. Specific emphasis is placed on using GEVIs to begin to study the principles of concentration coding in the OB, how to interpret the optical signals from population measurements in the brain, and future developments that will push the field forward.

摘要

基因编码电压指示剂(GEVIs)是基于蛋白质的光学传感器,可用于对基因定义的神经元群体进行测量。尽管早期一代的GEVIs在哺乳动物大脑中成像困难,原因是膜表达不佳和信噪比低,但更新、更灵敏的GEVIs已开始使其有助于回答神经科学中的基本问题。我们讨论了使用GEVIs和基因编码钙指示剂进行成像的原理,这两种都是用于神经元活动成像的有用工具,并回顾了一些导致GEVI改进的近期机制进展。我们概述了小鼠嗅球(OB),并讨论了最近使用GEVI ArcLight通过宽场和双光子显微镜研究嗅球内不同细胞类型的研究。特别强调了使用GEVIs开始研究嗅球中浓度编码的原理、如何解释大脑中群体测量的光信号以及推动该领域向前发展的未来进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80af/10823906/b73f13d559c2/NPh-011-033402-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验