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使用光遗传学分子力传感器在体内可视化受张力作用的神经元。

Visualizing Neurons Under Tension In Vivo with Optogenetic Molecular Force Sensors.

作者信息

Sanfeliu-Cerdán Neus, Lin Li-Chun, Dunn Alexander R, Goodman Miriam B, Krieg Michael

机构信息

Neurophotonics and Mechanical Systems Biology, ICFO, Institut de Ciències Fotòniques, ICFO, Castelldefels, Spain.

Department of Chemical Engineering, Stanford University, Stanford, CA, USA.

出版信息

Methods Mol Biol. 2023;2600:239-266. doi: 10.1007/978-1-0716-2851-5_16.

Abstract

The visualization of mechanical stress distribution in specific molecular networks within a living and physiologically active cell or animal remains a formidable challenge in mechanobiology. The advent of fluorescence-resonance energy transfer (FRET)-based molecular tension sensors overcame a significant hurdle that now enables us to address previously technically limited questions. Here, we describe a method that uses genetically encoded FRET tension sensors to visualize the mechanics of cytoskeletal networks in neurons of living animals with sensitized emission FRET and confocal scanning light microscopy. This method uses noninvasive immobilization of living animals to image neuronal β-spectrin cytoskeleton at the diffraction limit, and leverages multiple imaging controls to verify and underline the quality of the measurements. In combination with a semiautomated machine-vision algorithm to identify and trace individual neurites, our analysis performs simultaneous calculation of FRET efficiencies and visualizes statistical uncertainty on a pixel by pixel basis. Our approach is not limited to genetically encoded spectrin tension sensors, but can also be used for any kind of ratiometric imaging in neuronal cells both in vivo and in vitro.

摘要

在活的、具有生理活性的细胞或动物体内特定分子网络中可视化机械应力分布,仍然是力学生物学领域的一项艰巨挑战。基于荧光共振能量转移(FRET)的分子张力传感器的出现克服了一个重大障碍,使我们现在能够解决以前在技术上受限的问题。在此,我们描述一种方法,该方法使用基因编码的FRET张力传感器,通过敏化发射FRET和共聚焦扫描光学显微镜来可视化活体动物神经元中细胞骨架网络的力学特性。此方法采用对活体动物进行非侵入性固定,以在衍射极限下对神经元β-血影蛋白细胞骨架进行成像,并利用多种成像对照来验证和强调测量的质量。结合半自动机器视觉算法来识别和追踪单个神经突,我们的分析可同时计算FRET效率,并逐像素可视化统计不确定性。我们的方法不仅限于基因编码的血影蛋白张力传感器,还可用于体内和体外神经元细胞中的任何类型的比率成像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b7/11874908/b4e73a337ed2/nihms-2055313-f0001.jpg

相似文献

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Genetically Encoded FRET-Based Tension Sensors.基于荧光共振能量转移的基因编码张力传感器。
Curr Protoc Cell Biol. 2019 Jun;83(1):e85. doi: 10.1002/cpcb.85. Epub 2019 Mar 13.

本文引用的文献

4
Molecular Force Measurement with Tension Sensors.张力传感器的分子力测量。
Annu Rev Biophys. 2021 May 6;50:595-616. doi: 10.1146/annurev-biophys-101920-064756. Epub 2021 Mar 12.

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