Detection of confinement and jumps in single-molecule membrane trajectories -: art. no. 011915
Detection of confinement and jumps in single-molecule membrane trajectories -: art. no. 011915
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DOI：
10.1103/physreve.73.011915
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发表时间：
2006-01-01
影响因子：
2.4
通讯作者：
Destainville, N
中科院分区：
文献类型：
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作者：
Meilhac, N;Le Guyader, L;Destainville, N
我们提出了[R. Simson，E. D. Sheets和K.雅各布森生物物理学69，989（1995）]。他们的算法被开发用于检测扩散膜蛋白或脂质的实验性单粒子跟踪轨迹中的瞬态限制区。我们表明，我们的算法是能够检测禁闭在一个更广泛的类的限制势形状比Simson此外，它不仅能够检测到暂时的限制，但也限制区之间的跳跃。跳跃预测的膜骨架栅栏和纠察队模型。在μ-阿片受体的实验轨迹的情况下，它属于参与信号转导途径的G-蛋白偶联受体家族，该算法证实，限制不能仅仅由刚性围栏解释。
We propose a variant of the algorithm by [R. Simson, E. D. Sheets, and K. Jacobson, Biophys. 69, 989 (1995)]. Their algorithm was developed to detect transient confinement zones in experimental single-particle tracking trajectories of diffusing membrane proteins or lipids. We show that our algorithm is able to detect confinement in a wider class of confining potential shapes than that of Simson Furthermore, it enables to detect not only temporary confinement but also jumps between confinement zones. Jumps are predicted by membrane skeleton fence and picket models. In the case of experimental trajectories of mu-opioid receptors, which belong to the family of G-protein-coupled receptors involved in a signal transduction pathway, this algorithm confirms that confinement cannot be explained solely by rigid fences.