酵母着丝点微管动力学的综合建模及其荧光显微镜成像

B. Sprague, C. Pearson, P. Maddox, E. Salmon, D. Odde
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引用次数: 1

摘要

我们感兴趣的是确定微管介导酿酒酵母有丝分裂过程中染色体分离的机制。在中期,每条染色体在其着丝点区域有一个单一的着丝点,每个酵母着丝点依次与一个微管正端相关。一株含有GFP与着丝粒蛋白Cse4p融合的酵母菌通过荧光显微镜跟踪着丝粒微管动力学。然而,由于衍射的结果,图像是模糊的,所以我们不是对实验图像进行反卷积,而是将模型预测与图像形成过程的模型进行卷积,以生成模拟的微观图像。使用后一种方法,我们称之为“模型卷积”,它不可能像前一种方法那样错误地收敛到一个虚假的重建图像,而且它的计算速度更快。将模拟图像与实验图像进行统计比较,以确定简单的动态不稳定模型是不可接受的。然而,稳定的微管突变率空间梯度模型提供了合理的一致性。这些结果表明,蛋白质的行为限制在亚细胞区室可以定量分析,提供了内在动力学和这些动力学的成像建模。
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Integrated modeling of yeast kinetochore microtubule dynamics and the imaging thereof by fluorescence microscopy
We were interested in determining the mechanisms by which microtubules mediate the segregation of chromosomes during mitosis in S. cerevisiae. In metaphase each chromosome has a single kinetochore assembled on its kinetochore region and each yeast kinetochore is in turn associated with a single microtubule plus end. A yeast strain containing a GFP fusion to the kinetochore protein, Cse4p, was used to track kinetochore microtubule dynamics by fluorescence microscopy. However, the images were blurry as a result of diffraction, and so rather than deconvolve the experimental images, we instead convolved the model predictions with a model of the image formation process to generate simulated microscopic images. Using the latter approach, which we call "model-convolution," it was impossible to mistakenly converge to a false reconstructed image, as can happen with the former approach, and it was computationally faster. The simulated images were compared statistically to the experimental images to determine that a simple dynamic instability model was unacceptable. However, a stable spatial gradient of microtubule catastrophe rate model provided reasonable agreement. These results show that the behaviors of proteins confined to subcellular compartments can be quantitatively analyzed, provided that both the intrinsic dynamics and the imaging of those dynamics are modeled.
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