Inferring the Effects of Honokiol on the Notch Signaling Pathway in SW480 Colon Cancer Cells.
Inferring the Effects of Honokiol on the Notch Signaling Pathway in SW480 Colon Cancer Cells.
复制标题
DOI：
10.4137/cin.s14060
复制
发表时间：
2014
影响因子：
2
通讯作者：
Schnell S
中科院分区：
文献类型：
--
作者：
Wynn ML;Consul N;Merajver SD;Schnell S
在肿瘤细胞中，获得性治疗抗性的发展和在不同于原发部位的细胞外环境中存活的能力是潜在高度可塑性分子网络中的分子适应的结果。肿瘤细胞内网络的准确预测一直是肿瘤信息学中的难题。为了做出真正合理的患者驱动的治疗决策，开发能够准确推断特定肿瘤细胞中分子电路的方法至关重要。尽管存在巨大的异质性，但细胞网络引发了确定性的数字样反应。我们将讨论将癌细胞中的分子网络建模为数字电路的方法的使用和局限性。我们还开发了一个网络模型的Notch信号在结肠癌中使用一种新的逆向工程逻辑为基础的方法和发表的蛋白质印迹数据，以阐明可能存在于电路的SW 480结肠癌细胞系的相互作用。在这个框架内，我们预测了honokaline可能作为抗癌药物发挥的作用。
In a tumor cell, the development of acquired therapeutic resistance and the ability to survive in extracellular environments that differ from the primary site are the result of molecular adaptations in potentially highly plastic molecular networks. The accurate prediction of intracellular networks in a tumor remains a difficult problem in cancer informatics. In order to make truly rational patient-driven therapeutic decisions, it will be critical to develop methodologies that can accurately infer the molecular circuitry in the cells of a specific tumor. Despite enormous heterogeneity, cellular networks elicit deterministic digital-like responses. We discuss the use and limitations of methodologies that model molecular networks in cancer cells as a digital circuit. We also develop a network model of Notch signaling in colon cancer using a novel reverse engineering logic-based method and published western blot data to elucidate the interactions likely present in the circuits of the SW480 colon cancer cell line. Within this framework, we make predictions related to the role that honokiol may be playing as an anti-cancer drug.