Gordon G W, Chazotte B, Wang X F, Herman B
Department of Cell Biology and Anatomy, University of North Carolina at Chapel Hill 27599-7090, USA.
Biophys J. 1995 Mar;68(3):766-78. doi: 10.1016/S0006-3495(95)80251-1.
Fluorescence recovery after photobleaching has been a popular technique to quantify the lateral mobility of membrane components. A variety of analysis methods have been used to determine the lateral diffusional mobility, D. However, many of these methods suffer from the drawbacks that they are not able to discern two-component diffusion (i.e., three-point fit), cannot solve for two components (linearization procedures), and do not perform well at low signal-to-noise. To overcome these limitations, we have adopted the approach of fitting fluorescence recovery after photobleaching curves by the full series solution using a Marquardt algorithm. Using simulated data of one or two diffusing components, determinations of the accuracy and reliability of the method with regard to extraction of diffusion parameters and the differentiation of one- versus two-component recovery curves were made under a variety of conditions comparable with those found in actual experimental situations. The performance of the method was also examined in experiments on artificial liposomes and fibroblast membranes labeled with fluorescent lipid and/or protein components. Our results indicate that: 1) the method was capable of extracting one- and two-component D values over a large range of conditions; 2) the D of a one-component recovery can be measured to within 10% with a small signal (100 prebleach photon counts per channel); 3) a two-component recovery requires more than 100-fold greater signal level than a one-component recovery for the same error; and 4) for two-component fits, multiple recovery curves may be needed to provide adequate signal to achieve the desired level of confidence in the fitted parameters and in the differentiation of one- and two-component diffusion.
光漂白后荧光恢复技术一直是用于量化膜成分横向流动性的常用技术。人们使用了多种分析方法来确定横向扩散系数D。然而,这些方法中的许多都存在缺点,即无法区分双组分扩散(即三点拟合)、无法求解双组分(线性化程序),并且在低信噪比下表现不佳。为了克服这些限制,我们采用了使用Marquardt算法通过全系列解拟合光漂白后荧光恢复曲线的方法。使用单组分或双组分扩散的模拟数据,在与实际实验情况相当的各种条件下,对该方法在提取扩散参数和区分单组分与双组分恢复曲线方面的准确性和可靠性进行了测定。还在用人造脂质体和成纤维细胞膜标记荧光脂质和/或蛋白质成分的实验中检验了该方法的性能。我们的结果表明:1)该方法能够在大范围的条件下提取单组分和双组分的D值;2)对于小信号(每通道100个漂白前光子计数),单组分恢复的D值测量误差可控制在10%以内;3)对于相同误差,双组分恢复所需的信号水平比单组分恢复高100倍以上;4)对于双组分拟合,可能需要多条恢复曲线以提供足够的信号,从而在拟合参数以及区分单组分和双组分扩散方面达到所需的置信水平。