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Reducing uncertainties in energy dissipation measurements in atomic force spectroscopy of molecular networks and cell-adhesion studies

机译:减少分子网络原子力光谱和细胞粘附研究中能量耗散测量的不确定性

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摘要

Atomic force microscope (AFM) based single molecule force spectroscopy (SMFS) is a valuable tool in biophysics to investigate the ligand-receptor interactions, cell adhesion and cell mechanics. However, the force spectroscopy data analysis needs to be done carefully to extract the required quantitative parameters correctly. Especially the large number of molecules, commonly involved in complex networks formation; leads to very complicated force spectroscopy curves. One therefore, generally characterizes the total dissipated energy over a whole pulling cycle, as it is difficult to decompose the complex force curves into individual single molecule events. However, calculating the energy dissipation directly from the transformed force spectroscopy curves can lead to a significant over-estimation of the dissipated energy during a pulling experiment. The over-estimation of dissipated energy arises from the finite stiffness of the cantilever used for AFM based SMFS. Although this error can be significant, it is generally not compensated for. This can lead to significant misinterpretation of the energy dissipation (up to the order of 30%). In this paper, we show how in complex SMFS the excess dissipated energy caused by the stiffness of the cantilever can be identified and corrected using a high throughput algorithm. This algorithm is then applied to experimental results from molecular networks and cell-adhesion measurements to quantify the improvement in the estimation of the total energy dissipation.
机译:基于原子力显微镜(AFM)的单分子力谱(SMFS)是生物物理学中研究配体-受体相互作用,细胞粘附和细胞力学的宝贵工具。但是,需要仔细进行力谱数据分析,以正确提取所需的定量参数。尤其是大量分子,通常参与复杂网络的形成;导致非常复杂的力谱曲线。因此,由于难以将复杂的力曲线分解为单个的单分子事件,因此通常可以表征整个拉动循环中的总耗散能量。但是,直接从变换后的力谱曲线计算能量耗散会导致在拉动实验期间对耗散能量的显着高估。耗散能量的高估是由于用于基于AFM的SMFS的悬臂的有限刚度引起的。尽管此误差可能很大,但通常无法对其进行补偿。这可能导致对能量耗散的严重误解(高达30%的数量级)。在本文中,我们展示了如何在复杂的SMFS中使用高通量算法识别并校正由悬臂的刚度引起的多余的耗散能量。然后将该算法应用于分子网络和细胞粘附测量的实验结果,以量化总能量耗散估算的改进。

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