Matysik Artur, Kraut Rachel S
School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore 637551, Singapore.
BMC Res Notes. 2014 May 1;7:274. doi: 10.1186/1756-0500-7-274.
Single molecule tracking (SMT) analysis of fluorescently tagged lipid and protein probes is an attractive alternative to ensemble averaged methods such as fluorescence correlation spectroscopy (FCS) or fluorescence recovery after photobleaching (FRAP) for measuring diffusion in artificial and plasma membranes. The meaningful estimation of diffusion coefficients and their errors is however not straightforward, and is heavily dependent on sample type, acquisition method, and equipment used. Many approaches require advanced computing and programming skills for their implementation.
Here we present TrackArt software, an accessible graphic interface for simulation and complex analysis of multiple particle paths. Imported trajectories can be filtered to eliminate spurious or corrupted tracks, and are then analyzed using several previously described methodologies, to yield single or multiple diffusion coefficients, their population fractions, and estimated errors. We use TrackArt to analyze the single-molecule diffusion behavior of a sphingolipid analog SM-Atto647N, in mica supported DOPC (1,2-dioleoyl-sn-glycero-3-phosphocholine) bilayers. Fitting with a two-component diffusion model confirms the existence of two separate populations of diffusing particles in these bilayers on mica. As a demonstration of the TrackArt workflow, we characterize and discuss the effective activation energies required to increase the diffusion rates of these populations, obtained from Arrhenius plots of temperature-dependent diffusion. Finally, TrackArt provides a simulation module, allowing the user to generate models with multiple particle trajectories, diffusing with different characteristics. Maps of domains, acting as impermeable or permeable obstacles for particles diffusing with given rate constants and diffusion coefficients, can be simulated or imported from an image. Importantly, this allows one to use simulated data with a known diffusion behavior as a comparison for results acquired using particular algorithms on actual, "natural" samples whose diffusion behavior is to be extracted. It can also serve as a tool for demonstrating diffusion principles.
TrackArt is an open source, platform-independent, Matlab-based graphical user interface, and is easy to use even for those unfamiliar with the Matlab programming environment. TrackArt can be used for accurate simulation and analysis of complex diffusion data, such as diffusion in lipid bilayers, providing publication-quality formatted results.
对于测量人工膜和质膜中的扩散,荧光标记的脂质和蛋白质探针的单分子追踪(SMT)分析是一种有吸引力的替代总体平均方法,如荧光相关光谱法(FCS)或光漂白后荧光恢复(FRAP)。然而,扩散系数及其误差的有意义估计并非易事,并且在很大程度上取决于样品类型、采集方法和使用的设备。许多方法的实施需要先进的计算和编程技能。
在此,我们展示了TrackArt软件,这是一个用于模拟和复杂分析多个粒子路径的便捷图形界面。导入的轨迹可以进行过滤以消除虚假或损坏的轨迹,然后使用几种先前描述的方法进行分析,以得出单个或多个扩散系数、它们的总体分数以及估计误差。我们使用TrackArt分析鞘脂类似物SM-Atto647N在云母支撑的二油酰磷脂酰胆碱(DOPC)双层中的单分子扩散行为。用双组分扩散模型拟合证实了在云母上的这些双层中存在两个独立的扩散粒子群体。作为TrackArt工作流程的演示,我们表征并讨论了从温度依赖性扩散的阿伦尼乌斯图获得的增加这些群体扩散速率所需的有效活化能。最后,TrackArt提供了一个模拟模块,允许用户生成具有多个粒子轨迹、以不同特征扩散的模型。可以模拟或从图像导入充当具有给定速率常数和扩散系数扩散的粒子的不可渗透或可渗透障碍物的域图。重要的是,这允许人们将具有已知扩散行为的模拟数据用作与使用特定算法在实际“天然”样品上获得的结果进行比较,这些实际样品的扩散行为有待提取。它还可以用作演示扩散原理的工具。
TrackArt是一个基于Matlab的开源、与平台无关的图形用户界面,即使对于不熟悉Matlab编程环境的人也易于使用。TrackArt可用于准确模拟和分析复杂的扩散数据,如脂质双层中的扩散,提供具有发表质量格式的结果。