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首页> 外文期刊>Scientific reports. >SensorFRET: A Standardless Approach to Measuring Pixel-based Spectral Bleed-through and FRET Efficiency using Spectral Imaging
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SensorFRET: A Standardless Approach to Measuring Pixel-based Spectral Bleed-through and FRET Efficiency using Spectral Imaging

机译:SensorFret:使用光谱成像测量基于像素的谱漏血和褶皱效率的标准方法

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Fluorescence microscopy of FRET-based biosensors allow nanoscale interactions to be probed in living cells. This paper describes a novel approach to spectrally resolved fluorescence microscopy, termed sensorFRET, that enables quantitative measurement of FRET efficiency. This approach is an improvement on existing methods (FLIM, sRET, luxFRET, pFRET), as it does not require single fluorophore standards to be measured with every experiment and the acquisition is intensity independent, allowing the laser power to be optimized for varying levels of fluorophore expression. Additionally, it was found that all spectral based methods, including sensorFRET, fail at specific fluorophore-excitation wavelength combinations. These combinations can be determined a priori using sensorFRET, whereas other methods would give no indication of inaccuracies. This method was thoroughly validated and compared to existing methods using simulated spectra, Fluorescein and TAMRA dye mixtures as a zero FRET control, and Cerulean-Venus FRET standards as positive FRET controls. Simulations also provided a means of quantifying the uncertainty in each measurement by relating the fit residual of noisy spectra to the standard deviation of the measured FRET efficiency. As an example application, Teal-Venus force sensitive biosensors integrated into E-cadherin were used to resolve piconewton scale forces along different parts of an individual cell junction.
机译:基于FRET的生物传感器的荧光显微镜允许在活细胞中探测纳米级相互作用。本文介绍了一种新的光谱解析荧光显微镜,称为传感器射精的方法,其能够定量测量FRET效率。这种方法是对现有方法的改进(FLIM,SRET,LUXFRET,PRET),因为它不需要用每个实验测量单一荧光团标准,并且采集是强度独立的,允许激光功率优化为不同的水平荧光团体表达。另外,发现所有基于光谱的方法,包括感觉射精,在特定的荧光激发波长组合中失效。可以使用SensorFreet确定这些组合,而其他方法不会呈现不准确的指示。通过使用模拟光谱,荧光素和Tamra染料混合物作为零弹性控制的现有方法进行彻底验证并与现有方法进行比较,以及Cerulean-Venus FRET标准作为正音色控制。仿真还提供了通过将噪声光谱的拟合残余物与测量的FRET效率的标准偏差相关,来提供每种测量中的不确定性的方法。作为一个示例申请,集成在E-Cadherin中的Teal-Venus力敏感生物传感器用于沿各个细胞交界处的不同部分解决Piconewton尺度力。

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