Group of Data Modeling and Computational Biology, IBENS-PSL, Ecole Normale Supérieure, 75005, Paris, France.
Research Group Functional Neurobiology at the Institute of Developmental Biology and Neurobiology, Johannes Gutenberg University Mainz, Mainz, Germany.
Sci Rep. 2019 Dec 11;9(1):18818. doi: 10.1038/s41598-019-55124-8.
The cellular membrane is very heterogenous and enriched with high-density regions forming microdomains, as revealed by single particle tracking experiments. However the organization of these regions remain unexplained. We determine here the biophysical properties of these regions, when described as a basin of attraction. We develop two methods to recover the dynamics and local potential wells (field of force and boundary). The first method is based on the local density of points distribution of trajectories, which differs inside and outside the wells. The second method focuses on recovering the drift field that is convergent inside wells and uses the transient field to determine the boundary. Finally, we apply these two methods to the distribution of trajectories recorded from voltage gated calcium channels and phospholipid anchored GFP in the cell membrane of hippocampal neurons and obtain the size and energy of high-density regions with a nanometer precision.
细胞膜具有高度异质性，并富含形成微域的高密度区域，这一点已通过单颗粒跟踪实验得到证实。然而，这些区域的组织方式仍未得到解释。在这里，我们将这些区域描述为吸引域，确定其生物物理特性。我们开发了两种方法来恢复动力学和局部势阱（力场和边界）。第一种方法基于轨迹的局部点密度分布，该分布在阱内外有所不同。第二种方法侧重于恢复漂移场，该漂移场在阱内收敛，并使用瞬态场来确定边界。最后，我们将这两种方法应用于从海马神经元细胞膜上的电压门控钙通道和磷脂锚定 GFP 记录的轨迹分布中，并以纳米级精度获得高密度区域的大小和能量。
