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黑素细胞中微管运输的多尺度趋势分析。

Multiscale trend analysis of microtubule transport in melanophores.

作者信息

Zaliapin Ilya, Semenova Irina, Kashina Anna, Rodionov Vladimir

机构信息

Institute of Geophysics and Planetary Physics, University of California, Los Angeles, USA.

出版信息

Biophys J. 2005 Jun;88(6):4008-16. doi: 10.1529/biophysj.104.057083. Epub 2005 Mar 11.

Abstract

Microtubule-based transport is critical for trafficking of organelles, organization of endomembranes, and mitosis. The driving force for microtubule-based transport is provided by microtubule motors, which move organelles specifically to the plus or minus ends of the microtubules. Motor proteins of opposite polarities are bound to the surface of the same cargo organelle. Transport of organelles along microtubules is discontinuous and involves transitions between movements to plus or minus ends or pauses. Parameters of the movement, such as velocity and length of runs, provide important information about the activity of microtubule motors, but measurement of these parameters is difficult and requires a sophisticated decomposition of the organelle movement trajectories into directional runs and pauses. The existing algorithms are based on establishing threshold values for the length and duration of runs and thus do not allow to distinguish between slow runs and pauses, making the analysis of the organelle transport incomplete. Here we describe a novel algorithm based on multiscale trend analysis for the decomposition of organelle trajectories into plus- or minus-end runs, and pauses. This algorithm is self-adapted to the characteristic durations and velocities of runs, and allows reliable separation of pauses from runs. We apply the proposed algorithm to compare regulation of microtubule transport in fish and Xenopus melanophores and show that the general mechanisms of regulation are similar in the two pigment cell types.

摘要

基于微管的运输对于细胞器的运输、内膜的组织以及有丝分裂至关重要。基于微管的运输驱动力由微管马达提供,微管马达将细胞器特异性地移动到微管的正端或负端。极性相反的马达蛋白结合在同一货物细胞器的表面。细胞器沿微管的运输是不连续的,涉及向正端或负端移动或暂停之间的转换。运动参数,如速度和运行长度,提供了有关微管马达活性的重要信息,但测量这些参数很困难,需要将细胞器运动轨迹复杂地分解为定向运行和暂停。现有的算法基于为运行的长度和持续时间建立阈值,因此无法区分慢速运行和暂停,使得细胞器运输分析不完整。在这里,我们描述了一种基于多尺度趋势分析的新算法,用于将细胞器轨迹分解为正端或负端运行以及暂停。该算法能自适应运行的特征持续时间和速度,并允许可靠地将暂停与运行分离。我们应用所提出的算法来比较鱼类和非洲爪蟾黑素细胞中微管运输的调节,并表明两种色素细胞类型中调节的一般机制相似。

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