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首页> 外文期刊>Journal of Theoretical Biology >Development of a three-dimensional multiscale agent-based tumor model: Simulating gene-protein interaction profiles, cell phenotypes and multicellular patterns in brain cancer
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Development of a three-dimensional multiscale agent-based tumor model: Simulating gene-protein interaction profiles, cell phenotypes and multicellular patterns in brain cancer

机译:基于三维多尺度药物的肿瘤模型的开发:模拟脑癌中的基因-蛋白质相互作用,细胞表型和多细胞模式

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Experimental evidence suggests that epidermal growth factor receptor (EGFR)-mediated activation of the signaling protein phospholipase C gamma plays a critical role in a cancer cell's phenotypic decision to either proliferate or to migrate at a given point in time. Here, we present a novel three-dimensional multiscale agent-based model to simulate this cellular decision process in the context of a virtual brain tumor. Each tumor cell is equipped with an EGFR gene-protein interaction network module that also connects to a simplified cell cycle description. The simulation results show that over time proliferative and migratory cell populations not only oscillate but also directly impact the spatio-temporal expansion patterns of the entire cancer system. The percentage change in the concentration of the sub-cellular interaction network's molecular components fluctuates, and, for the 'proliferation-to-migration' switch we find that the phenotype triggering molecular profile to some degree varies as the tumor system grows and the microenvironment changes. We discuss potential implications of these findings for experimental and clinical cancer research. (c) 2006 Elsevier Ltd. All rights reserved.
机译:实验证据表明,表皮生长因子受体(EGFR)介导的信号蛋白磷脂酶Cγ的活化在癌细胞表型决定是否在给定时间点增殖或迁移中起关键作用。在这里,我们提出了一种新颖的基于三维多尺度代理的模型,可以在虚拟脑瘤的情况下模拟这种细胞决策过程。每个肿瘤细胞都配备了EGFR基因-蛋白质相互作用网络模块,该模块还连接了简化的细胞周期描述。模拟结果表明,随着时间的流逝,增殖和迁移细胞群体不仅振荡,而且直接影响整个癌症系统的时空扩展模式。亚细胞相互作用网络的分子成分浓度的百分比变化是波动的,并且对于“增殖-迁移”转换,我们发现表型触发分子谱在一定程度上随肿瘤系统的生长和微环境的变化而变化。 。我们讨论了这些发现对实验和临床癌症研究的潜在影响。 (c)2006 Elsevier Ltd.保留所有权利。

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