Studying molecular motor-based cargo transport: What is real and what is noise?
Studying molecular motor-based cargo transport: What is real and what is noise?
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DOI：
10.1529/biophysj.106.097253
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发表时间：
2007-04-01
影响因子：
3.4
通讯作者：
Yu, Clare C.
中科院分区：
文献类型：
--
作者：
Petrov, Dmitri Y.;Mallik, Roop;Yu, Clare C.
噪声是分析分子马达运动的货物跟踪数据的一个主要问题。我们使用贝叶斯统计，将什么是已知的噪声解析成一系列的恒定速度段的货物的轨迹。仅具有噪声且无潜在运动的轨道与恒定速度段拟合以产生拟合质量与平均段持续时间的校准曲线。将运动货物轨迹的拟合与具有类似噪声的校准曲线进行比较。具有最佳数量的恒定速度状态的拟合具有匹配校准曲线的拟合质量所需的最少数量的段。我们已经测试了这种方法使用轨道与已知的基本运动所产生的计算机模拟和一个专门设计的体外实验。我们目前的结果，使用这种解析方法来分析果蝇胚胎中的脂滴的运输。
Noise is a major problem in analyzing tracking data of cargos moved by molecular motors. We use Bayesian statistics to incorporate what is known about the noise in parsing the trajectory of a cargo into a series of constant velocity segments. Tracks with just noise and no underlying motion are fit with constant velocity segments to produce a calibration curve of fit quality versus average segment duration. Fits to tracks of moving cargos are compared to the calibration curves with similar noise. The fit with the optimum number of constant velocity states has the least number of segments needed to match the fit quality of the calibration curve. We have tested this approach using tracks with known underlying motion generated by computer simulations and with a specially designed in vitro experiment. We present the results of using this parsing approach to analyze transport of lipid droplets in Drosophila embryos.