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活细胞中基于荧光共振能量转移的张力传感器的构建、成像及分析。

Construction, imaging, and analysis of FRET-based tension sensors in living cells.

作者信息

LaCroix Andrew S, Rothenberg Katheryn E, Berginski Matthew E, Urs Aarti N, Hoffman Brenton D

机构信息

Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.

出版信息

Methods Cell Biol. 2015;125:161-86. doi: 10.1016/bs.mcb.2014.10.033. Epub 2015 Jan 8.

Abstract

Due to an increased appreciation for the importance of mechanical stimuli in many biological contexts, an interest in measuring the forces experienced by specific proteins in living cells has recently emerged. The development and use of Förster resonance energy transfer (FRET)-based molecular tension sensors has enabled these types of studies and led to important insights into the mechanisms those cells utilize to probe and respond to the mechanical nature of their surrounding environment. The process for creating and utilizing FRET-based tension sensors can be divided into three main parts: construction, imaging, and analysis. First we review several methods for the construction of genetically encoded FRET-based tension sensors, including restriction enzyme-based methods as well as the more recently developed overlap extension or Gibson Assembly protocols. Next, we discuss the intricacies associated with imaging tension sensors, including optimizing imaging parameters as well as common techniques for estimating artifacts within standard imaging systems. Then, we detail the analysis of such data and describe how to extract useful information from a FRET experiment. Finally, we provide a discussion on identifying and correcting common artifacts in the imaging of FRET-based tension sensors.

摘要

由于在许多生物学背景下,人们越来越认识到机械刺激的重要性,最近出现了一种测量活细胞中特定蛋白质所受作用力的兴趣。基于Förster共振能量转移(FRET)的分子张力传感器的开发和使用使得这类研究成为可能,并对细胞用于探测和响应周围环境机械性质的机制有了重要的认识。创建和使用基于FRET的张力传感器的过程可分为三个主要部分:构建、成像和分析。首先,我们回顾几种构建基于基因编码FRET的张力传感器的方法,包括基于限制性内切酶的方法以及最近开发的重叠延伸或吉布森组装方案。接下来,我们讨论与成像张力传感器相关的复杂性,包括优化成像参数以及估计标准成像系统中伪影的常用技术。然后,我们详细介绍此类数据的分析,并描述如何从FRET实验中提取有用信息。最后,我们对基于FRET的张力传感器成像中常见伪影的识别和校正进行讨论。

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