Raicu Valerică
Physics Department, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, United States of America.
Spectrochim Acta A Mol Biomol Spectrosc. 2018 Jun 15;199:340-348. doi: 10.1016/j.saa.2018.03.075. Epub 2018 Mar 27.
Investigations of static or dynamic interactions between proteins or other biological macromolecules in living cells often rely on the use of fluorescent tags with two different colors in conjunction with adequate theoretical descriptions of Förster Resonance Energy Transfer (FRET) and molecular-level micro-spectroscopic technology. One such method based on these general principles is FRET spectrometry, which allows determination of the quaternary structure of biomolecules from cell-level images of the distributions, or spectra of occurrence frequency of FRET efficiencies. Subsequent refinements allowed combining FRET frequency spectra with molecular concentration information, thereby providing the proportion of molecular complexes with various quaternary structures as well as their binding/dissociation energies. In this paper, we build on the mathematical principles underlying FRET spectrometry to propose two new spectrometric methods, which have distinct advantages compared to other methods. One of these methods relies on statistical analysis of color mixing in subpopulations of fluorescently tagged molecules to probe molecular association stoichiometry, while the other exploits the color shift induced by FRET to also derive geometric information in addition to stoichiometry. The appeal of the first method stems from its sheer simplicity, while the strength of the second consists in its ability to provide structural information.
对活细胞中蛋白质或其他生物大分子之间的静态或动态相互作用进行研究时,通常依赖于使用具有两种不同颜色的荧光标签,并结合对Förster共振能量转移(FRET)的充分理论描述以及分子水平的显微光谱技术。基于这些一般原理的一种方法是FRET光谱法,它可以从FRET效率分布的细胞水平图像或出现频率光谱中确定生物分子的四级结构。随后的改进使得能够将FRET频率光谱与分子浓度信息相结合,从而提供具有各种四级结构的分子复合物的比例及其结合/解离能。在本文中,我们基于FRET光谱法的数学原理,提出了两种新的光谱方法,与其他方法相比,它们具有明显的优势。其中一种方法依赖于对荧光标记分子亚群中的颜色混合进行统计分析,以探测分子缔合化学计量,而另一种方法则利用FRET诱导的颜色变化,除了化学计量外,还能得出几何信息。第一种方法的吸引力在于其极度的简单性,而第二种方法的优势在于其提供结构信息的能力。