Thaler Christopher, Koushik Srinagesh V, Blank Paul S, Vogel Steven S
National Institute of Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA.
Biophys J. 2005 Oct;89(4):2736-49. doi: 10.1529/biophysj.105.061853. Epub 2005 Jul 22.
Protein labeling with green fluorescent protein derivatives has become an invaluable tool in cell biology. Protein quantification, however, is difficult when cells express constructs with overlapping fluorescent emissions. Under these conditions, signal separation using emission filters is inherently inefficient. Spectral imaging solves this problem by recording emission spectra directly. Unfortunately, linear unmixing, the algorithm used for quantifying individual fluorophores from emission spectra, fails when resonance energy transfer (RET) is present. We therefore sought to develop an unmixing algorithm that incorporates RET. An equation for spectral emission incorporating RET was derived and an assay based on this formalism, spectral RET (sRET), was developed. Standards with defined RET efficiencies and with known Cerulean/Venus ratios were constructed and used to test sRET. We demonstrate that sRET analysis is a comprehensive, photon-efficient method for imaging RET efficiencies and accurately determines donor and acceptor concentrations in living cells.
用绿色荧光蛋白衍生物进行蛋白质标记已成为细胞生物学中一种非常有价值的工具。然而,当细胞表达具有重叠荧光发射的构建体时,蛋白质定量就变得困难。在这些条件下,使用发射滤光片进行信号分离本质上效率低下。光谱成像通过直接记录发射光谱解决了这个问题。不幸的是,当存在共振能量转移(RET)时,用于从发射光谱中定量单个荧光团的线性解混算法会失效。因此,我们试图开发一种纳入RET的解混算法。推导了一个包含RET的光谱发射方程,并基于这种形式开发了一种检测方法,即光谱RET(sRET)。构建了具有确定RET效率和已知天蓝蛋白/维纳斯荧光蛋白比率的标准品,并用于测试sRET。我们证明,sRET分析是一种全面、光子高效的方法,用于成像RET效率,并能准确测定活细胞中供体和受体的浓度。