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arXiv 0904.1972q-bio.SCq-bio.QM
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细胞内颗粒运输的首次通过概率

The First Passage Probability of Intracellular Particle Trafficking

Salman S. Rogers, Neftali Flores-Rodriguez, Victoria J. Allan, Philip G. Woodman, Thomas A. Waigh

摘要:

在给定时间t或反向速度S = t/L中,可以从测量的颗粒轨迹稳健地计算被运输的细胞内颗粒达到位移L的第一通过概率(FPP),并且给出颗粒运动的测量,其中可以在单个图中容易地区分不同类型的运动,例如扩散、弹道运动和瞬时运行-静止运动,并与数学模型进行了比较。FPP的吸引力在于它提供了一种减少测量轨迹中的数据的方法,而不对运动机制进行假设:例如,它不采用平滑,分割或任意阈值来区分粒子轨迹中不同类型的运动。从跟踪的内吞囊泡的实验数据,并计算FPP,我们看到三种分子处理如何影响贩运。我们表明,FPP可以量化复杂的运动,既不是完全随机的,也不是完全确定的,使其高度适用于细胞生物学中的贩运粒子。

英文摘要:

The first passage probability (FPP), of trafficked intracellular particles reaching a displacement L, in a given time t or inverse velocity S = t/L, can be calculated robustly from measured particle tracks, and gives a measure of particle movement in which different types of motion, e.g. diffusion, ballistic motion, and transient run-rest motion, can readily be distinguished in a single graph, and compared with mathematical models. The FPP is attractive in that it offers a means of reducing the data in the measured tracks, without making assumptions about the mechanism of motion: for example, it does not employ smoothing, segementation or arbitrary thresholds to discriminate between different types of motion in a particle track. Taking experimental data from tracked endocytic vesicles, and calculating the FPP, we see how three molecular treatments affect the trafficking. We show the FPP can quantify complicated movement which is neither completely random nor completely deterministic, making it highly applicable to trafficked particles in cell biology.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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