Chen Ye, Mauldin Joshua P, Day Richard N, Periasamy Ammasi
W.M. Keck Center for Cellular Imaging, Departments of Biology and Biomedical Engineering, Gilmer Hall, University of Virginia, Charlottesville, VA 22904, USA.
J Microsc. 2007 Nov;228(Pt 2):139-52. doi: 10.1111/j.1365-2818.2007.01838.x.
The spectral processed Förster resonance energy transfer (psFRET) imaging method provides an effective and fast method for measuring protein-protein interactions in living specimens. The commercially available linear unmixing algorithms efficiently remove the contribution of donor spectral bleedthrough to the FRET signal. However, the acceptor contribution to spectral bleedthrough in the FRET image cannot be similarly removed, since the acceptor spectrum is identical to the FRET spectrum. Here, we describe the development of a computer algorithm that measures and removes the contaminating ASBT signal in the sFRET image. The new method is characterized in living cells that expressed FRET standards in which the donor and acceptor fluorescent proteins are tethered by amino acid linkers of specific lengths. The method is then used to detect the homo-dimerization of a transcription factor in the nucleus of living cells, and then to measure the interactions of that protein with a second transcription factor.
光谱处理的荧光共振能量转移(psFRET)成像方法为测量活样本中的蛋白质-蛋白质相互作用提供了一种有效且快速的方法。市售的线性解混算法能有效去除供体光谱渗漏对FRET信号的贡献。然而,由于受体光谱与FRET光谱相同,FRET图像中受体对光谱渗漏的贡献无法以同样的方式去除。在此,我们描述了一种计算机算法的开发,该算法可测量并去除sFRET图像中污染性的ASBT信号。新方法在表达FRET标准物的活细胞中进行表征,其中供体和受体荧光蛋白通过特定长度的氨基酸接头相连。该方法随后用于检测活细胞核中转录因子的同源二聚化,进而测量该蛋白质与另一种转录因子的相互作用。