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Mathematical modelling of whole chromosome replication.

机译:整个染色体复制的数学模型。

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All chromosomes must be completely replicated prior to cell division, a requirement that demands the activation of a sufficient number of appropriately distributed DNA replication origins. Here we investigate how the activity of multiple origins on each chromosome is coordinated to ensure successful replication. We present a stochastic model for whole chromosome replication where the dynamics are based upon the parameters of individual origins. Using this model we demonstrate that mean replication time at any given chromosome position is determined collectively by the parameters of all origins. Combining parameter estimation with extensive simulations we show that there is a range of model parameters consistent with mean replication data, emphasising the need for caution in interpreting such data. In contrast, the replicated-fraction at time points through S phase contains more information than mean replication time data and allowed us to use our model to uniquely estimate many origin parameters. These estimated parameters enable us to make a number of predictions that showed agreement with independent experimental data, confirming that our model has predictive power. In summary, we demonstrate that a stochastic model can recapitulate experimental observations, including those that might be interpreted as deterministic such as ordered origin activation times.
机译:所有染色体必须在细胞分裂前完全复制,这一要求要求激活足够数量的适当分布的DNA复制起点。在这里,我们研究如何协调每个染色体上多个起点的活动,以确保成功复制。我们提出了整个染色体复制的随机模型,其中动力学是基于各个来源的参数。使用该模型,我们证明了在任何给定染色体位置的平均复制时间由所有来源的参数共同决定。将参数估计与广泛的模拟相结合,我们发现存在与平均复制数据一致的模型参数范围,强调了在解释此类数据时需要谨慎的地方。相比之下,通过S阶段的时间点处的复制分数所包含的信息要多于平均复制时间数据,这使我们能够使用模型来唯一地估计许多原始参数。这些估计的参数使我们能够做出许多与独立实验数据一致的预测,从而确认我们的模型具有预测能力。总而言之,我们证明了随机模型可以概括实验观察结果,包括可能被解释为确定性的观察结果,例如有序的原点激活时间。

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