Puchner Elias M, Franzen Gereon, Gautel Mathias, Gaub Hermann E
Lehrstuhl für Angewandte Physik and Center for Nanoscience, LMU München, Munich, Germany.
Biophys J. 2008 Jul;95(1):426-34. doi: 10.1529/biophysj.108.129999.
Single molecule force spectroscopy has evolved into an important and extremely powerful technique for investigating the folding potentials of biomolecules. Mechanical tension is applied to individual molecules, and the subsequent, often stepwise unfolding is recorded in force extension traces. However, because the energy barriers of the folding potentials are often close to the thermal energy, both the extensions and the forces at which these barriers are overcome are subject to marked fluctuations. Therefore, force extension traces are an inadequate representation despite widespread use particularly when large populations of proteins need to be compared and analyzed. We show in this article that contour length, which is independent of fluctuations and alterable experimental parameters, is a more appropriate variable than extension. By transforming force extension traces into contour length space, histograms are obtained that directly represent the energy barriers. In contrast to force extension traces, such barrier position histograms can be averaged to investigate details of the unfolding potential. The cross-superposition of barrier position histograms allows us to detect and visualize the order of unfolding events. We show with this approach that in contrast to the sequential unfolding of bacteriorhodopsin, two main steps in the unfolding of the enzyme titin kinase are independent of each other. The potential of this new method for accurate and automated analysis of force spectroscopy data and for novel automated screening techniques is shown with bacteriorhodopsin and with protein constructs containing GFP and titin kinase.
单分子力谱已发展成为一种用于研究生物分子折叠势能的重要且极为强大的技术。对单个分子施加机械张力,并在力-伸长轨迹中记录随后通常呈逐步展开的过程。然而,由于折叠势能的能垒常常接近热能,克服这些能垒时的伸长和力都会受到显著波动的影响。因此,尽管力-伸长轨迹被广泛使用,但特别是在需要比较和分析大量蛋白质时,它并不能充分地反映情况。我们在本文中表明,与波动和可变实验参数无关的轮廓长度是比伸长更合适的变量。通过将力-伸长轨迹转换到轮廓长度空间,可以得到直接表示能垒的直方图。与力-伸长轨迹不同,这种能垒位置直方图可以进行平均以研究展开势能的细节。能垒位置直方图的交叉叠加使我们能够检测并可视化展开事件的顺序。我们用这种方法表明,与细菌视紫红质的顺序展开不同,肌联蛋白激酶展开过程中的两个主要步骤相互独立。通过细菌视紫红质以及含有绿色荧光蛋白和肌联蛋白激酶的蛋白质构建体,展示了这种新方法在准确自动分析力谱数据和新型自动筛选技术方面的潜力。