推断细胞膜微区内部的力的图
Inferring maps of forces inside cell membrane microdomains
摘要：
细胞膜中生物分子上的力的映射已经刺激了有效标记的发展，例如有机荧光团和纳米颗粒，以跟踪单个生物分子的轨迹。标准方法使用特定的统计数据，即均方位移，来分析潜在的动力学。在这里，我们引入一般的推理方法，充分利用实验轨迹中的信息，提供膜微区中的力和扩散系数的精确估计。快速和可靠的收敛性的推理方案证明了数值生成的轨迹。然后，该方法被应用于推断力和电位作用于由镧系元素离子纳米颗粒标记的$ε$ -毒素的受体。我们的方案适用于任何标记的生物分子，结果显示其与膜区室化的一般相关性。
英文摘要：
Mapping of the forces on biomolecules in cell membranes has spurred the development of effective labels, e.g. organic fluorophores and nanoparticles, to track trajectories of single biomolecules. Standard methods use particular statistics, namely the mean square displacement, to analyze the underlying dynamics. Here, we introduce general inference methods to fully exploit information in the experimental trajectories, providing sharp estimates of the forces and the diffusion coefficients in membrane microdomains. Rapid and reliable convergence of the inference scheme is demonstrated on trajectories generated numerically. The method is then applied to infer forces and potentials acting on the receptor of the $ε$-toxin labeled by lanthanide-ion nanoparticles. Our scheme is applicable to any labeled biomolecule and results show show its general relevance for membrane compartmentation.
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