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Precritical State Transition Dynamics in the Attractor Landscape of a Molecular Interaction Network Underlying Colorectal Tumorigenesis

机译:大肠肿瘤发生基础上的分子相互作用网络的吸引者景观中的临界状态过渡动力学。

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摘要

From the perspective of systems science, tumorigenesis can be hypothesized as a critical transition (an abrupt shift from one state to another) between proliferative and apoptotic attractors on the state space of a molecular interaction network, for which an attractor is defined as a stable state to which all initial states ultimately converge, and the region of convergence is called the basin of attraction. Before the critical transition, a cellular state might transit between the basin of attraction for an apoptotic attractor and that for a proliferative attractor due to the noise induced by the inherent stochasticity in molecular interactions. Such a flickering state transition (state transition between the basins of attraction for alternative attractors from the impact of noise) would become more frequent as the cellular state approaches near the boundary of the basin of attraction, which can increase the variation in the estimate of the respective basin size. To investigate this for colorectal tumorigenesis, we have constructed a stochastic Boolean network model of the molecular interaction network that contains an important set of proteins known to be involved in cancer. In particular, we considered 100 representative sequences of 20 gene mutations that drive colorectal tumorigenesis. We investigated the appearance of cancerous cells by examining the basin size of apoptotic, quiescent, and proliferative attractors along with the sequential accumulation of gene mutations during colorectal tumorigenesis. We introduced a measure to detect the flickering state transition as the variation in the estimate of the basin sizes for three-phenotype attractors from the impact of noise. Interestingly, we found that this measure abruptly increases before a cell becomes cancerous during colorectal tumorigenesis in most of the gene mutation sequences under a certain level of stochastic noise. This suggests that a frequent flickering state transition can be a precritical phenomenon of colorectal tumorigenesis.
机译:从系统科学的角度来看,可以将肿瘤发生假设为分子相互作用网络状态空间上增殖和凋亡吸引子之间的关键转变(从一种状态突然转变为另一种状态),为此将吸引子定义为稳定状态所有初始状态最终都收敛于此,并且收敛的区域称为吸引盆地。在临界转变之前,由于分子相互作用的内在随机性所引起的噪声,细胞状态可能会在凋亡吸引子和增生吸引子的吸引盆之间转换。随着细胞状态接近吸引盆边界附近,这种闪烁的状态转换(由于噪声的影响,替代吸引物在吸引盆之间的状态过渡)将变得更加频繁,这可能会增加估计值的变化。各自的盆尺寸。为了研究结直肠肿瘤的发生,我们构建了分子相互作用网络的随机布尔网络模型,该模型包含一组重要的已知与癌症有关的蛋白质。特别地,我们考虑了驱动大肠肿瘤发生的20个基因突变的100个代表性序列。我们通过检查凋亡,静态和增殖性吸引子的盆大小以及结肠直肠癌发生过程中基因突变的顺序积累来研究癌细胞的外观。我们引入了一种检测闪烁状态转变的措施,该措施是根据噪声影响对三表型吸引子的水盆大小估算值的变化。有趣的是,我们发现在一定水平的随机噪声下,在大多数基因突变序列中,在大肠癌发生期间细胞在癌变之前癌变之前,该措施突然增加。这表明频繁的闪烁状态转变可能是结直肠肿瘤发生的前期关键现象。

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