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本文引用的文献

1
Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals.激发扫描高光谱成像显微镜用于高效区分荧光信号。
J Vis Exp. 2019 Aug 22(150). doi: 10.3791/59448.
2
FPbase: a community-editable fluorescent protein database.FPbase:一个可由社区编辑的荧光蛋白数据库。
Nat Methods. 2019 Apr;16(4):277-278. doi: 10.1038/s41592-019-0352-8.
3
Spectral imaging of FRET-based sensors reveals sustained cAMP gradients in three spatial dimensions.基于荧光共振能量转移(FRET)的传感器的光谱成像是揭示细胞内 cAMP 梯度在三维空间中的持续存在。
Cytometry A. 2018 Oct;93(10):1029-1038. doi: 10.1002/cyto.a.23572. Epub 2018 Sep 3.
4
Automated image analysis of FRET signals for subcellular cAMP quantification.用于亚细胞环磷酸腺苷(cAMP)定量的荧光共振能量转移(FRET)信号的自动图像分析
Methods Mol Biol. 2015;1294:59-70. doi: 10.1007/978-1-4939-2537-7_5.
5
Excitation-scanning hyperspectral imaging microscope.激发扫描高光谱成像显微镜。
J Biomed Opt. 2014 Apr;19(4):046010. doi: 10.1117/1.JBO.19.4.046010.
6
Thin-film tunable filters for hyperspectral fluorescence microscopy.用于高光谱荧光显微镜的薄膜可调谐滤波器。
J Biomed Opt. 2014 Jan;19(1):011017. doi: 10.1117/1.JBO.19.1.011017.
7
Assessing FRET using spectral techniques.使用光谱技术评估荧光共振能量转移。
Cytometry A. 2013 Oct;83(10):898-912. doi: 10.1002/cyto.a.22340. Epub 2013 Aug 8.
8
Hyperspectral imaging of FRET-based cGMP probes.基于荧光共振能量转移(FRET)的环磷酸鸟苷(cGMP)探针的高光谱成像
Methods Mol Biol. 2013;1020:73-88. doi: 10.1007/978-1-62703-459-3_5.
9
Fiji: an open-source platform for biological-image analysis.斐济:一个用于生物影像分析的开源平台。
Nat Methods. 2012 Jun 28;9(7):676-82. doi: 10.1038/nmeth.2019.
10
Structure-guided evolution of cyan fluorescent proteins towards a quantum yield of 93%.结构导向的青色荧光蛋白向量子产率 93%的进化。
Nat Commun. 2012 Mar 20;3:751. doi: 10.1038/ncomms1738.

用于单细胞分析的光谱荧光共振能量转移显微镜方法的比较。

Comparison of spectral FRET microscopy approaches for single-cell analysis.

作者信息

Deal Joshua, Annamdevula Naga, Pleshinger Donald John, Griswold John Robert, Odom Aliyah, Tayara Alia, Lall Malvika, Browning Craig, Parker Marina, Rich Thomas C, Leavesley Silas J

机构信息

Department of Chemical & Biomolecular Engineering, University of South Alabama.

Center for Lung Biology, University of South Alabama.

出版信息

Proc SPIE Int Soc Opt Eng. 2020 Feb;11243. doi: 10.1117/12.2546308. Epub 2020 Feb 17.

DOI:10.1117/12.2546308
PMID:34035557
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8142325/
Abstract

Förster resonance energy transfer (FRET) is a valuable tool for measuring molecular distances and the effects of biological processes such as cyclic nucleotide messenger signaling and protein localization. Most FRET techniques require two fluorescent proteins with overlapping excitation/emission spectral pairing to maximize detection sensitivity and FRET efficiency. FRET microscopy often utilizes differing peak intensities of the selected fluorophores measured through different optical filter sets to estimate the FRET index or efficiency. Microscopy platforms used to make these measurements include wide-field, laser scanning confocal, and fluorescence lifetime imaging. Each platform has associated advantages and disadvantages, such as speed, sensitivity, specificity, out-of-focus fluorescence, and Z-resolution. In this study, we report comparisons among multiple microscopy and spectral filtering platforms such as standard 2-filter FRET, emission-scanning hyperspectral imaging, and excitation-scanning hyperspectral imaging. Samples of human embryonic kidney (HEK293) cells were grown on laminin-coated 28 mm round gridded glass coverslips (10816, Ibidi, Fitchburg, Wisconsin) and transfected with adenovirus encoding a cAMP-sensing FRET probe composed of a FRET donor (Turquoise) and acceptor (Venus). Additionally, 3 FRET "controls" with fixed linker lengths between Turquoise and Venus proteins were used for inter-platform validation. Grid locations were logged, recorded with light micrographs, and used to ensure that whole-cell FRET was compared on a cell-by-cell basis among the different microscopy platforms. FRET efficiencies were also calculated and compared for each method. Preliminary results indicate that hyperspectral methods increase the signal-to-noise ratio compared to a standard 2-filter approach.

摘要

Förster共振能量转移(FRET)是一种用于测量分子距离以及诸如环核苷酸信使信号传导和蛋白质定位等生物过程影响的重要工具。大多数FRET技术需要两种具有重叠激发/发射光谱对的荧光蛋白,以最大化检测灵敏度和FRET效率。FRET显微镜通常利用通过不同光学滤光片组测量的所选荧光团的不同峰值强度来估计FRET指数或效率。用于进行这些测量的显微镜平台包括宽场、激光扫描共聚焦和荧光寿命成像。每个平台都有相关的优点和缺点,例如速度、灵敏度、特异性、离焦荧光和Z分辨率。在本研究中,我们报告了多种显微镜和光谱滤波平台之间的比较,如标准双滤光片FRET、发射扫描高光谱成像和激发扫描高光谱成像。人胚肾(HEK293)细胞样本在层粘连蛋白包被的28mm圆形网格玻璃盖玻片(10816,Ibidi,威斯康星州菲奇堡)上生长,并转染编码由FRET供体(绿松石色)和受体(金星色)组成的cAMP传感FRET探针的腺病毒。此外,使用3种在绿松石色和金星色蛋白之间具有固定连接长度的FRET“对照”进行平台间验证。记录网格位置,用光学显微照片记录,并用于确保在不同显微镜平台之间逐细胞比较全细胞FRET。还计算并比较了每种方法的FRET效率。初步结果表明,与标准双滤光片方法相比,高光谱方法提高了信噪比。