Hatzis Christos, Porro Danilo
Nuvera Biosciences, Woburn, MA 01801, USA.
J Biotechnol. 2006 Jul 13;124(2):420-38. doi: 10.1016/j.jbiotec.2006.01.011. Epub 2006 Mar 3.
It has been well recognized that many key aspects of cell cycle regulation are encoded into the size distributions of growing budding yeast populations due to the tight coupling between cell growth and cell division present in this organism. Several attempts have been made to model the cell size distribution of growing yeast populations in order to obtain insight on the underlying control mechanisms, but most were based on the age structure of asymmetrically dividing populations. Here we propose a new framework that couples a morphologically-structured representation of the population with population balance theory to formulate a dynamic model for the size distribution of growing yeast populations. An advantage of the presented framework is that it allows derivation of simpler models that are directly identifiable from experiments. We show how such models can be derived from the general framework and demonstrate their utility in analyzing yeast population data. Finally, by employing a recently proposed numerical scheme, we proceed to integrate numerically the full distributed model to provide predictions of dynamics of the cell size structure of growing yeast populations.
人们已经充分认识到，由于这种生物体中细胞生长与细胞分裂之间的紧密耦合，细胞周期调控的许多关键方面都编码在生长中的出芽酵母群体的大小分布中。为了深入了解潜在的控制机制，已经进行了几次尝试来模拟生长中的酵母群体的细胞大小分布，但大多数都是基于不对称分裂群体的年龄结构。在这里，我们提出了一个新的框架，将群体的形态结构表示与群体平衡理论相结合，以建立一个生长中的酵母群体大小分布的动态模型。所提出框架的一个优点是，它允许推导可直接从实验中识别的更简单模型。我们展示了如何从一般框架中推导此类模型，并证明了它们在分析酵母群体数据中的实用性。最后，通过采用最近提出的数值方案，我们继续对完整的分布模型进行数值积分，以提供生长中的酵母群体细胞大小结构动态的预测。
