Advances in Artificial Life. Darwin Meets von Neumann
Advances in Artificial Life. Darwin Meets von Neumann
复制标题
人工生命的进展。
DOI：
10.1007/978-3-642-21283-3_40
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Bouyioukos C
中科院分区：
文献类型：
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作者：
Bouyioukos C
细胞内的基因表达水平由基因之间的调控相互作用网络决定。在多细胞的空间扩展系统中，基因表达水平也受到邻近细胞活动的影响。遗传调控网络的相互作用和邻近细胞之间的相互作用可能会定性地改变基因表达的动态，并且是生物模式形成的核心。在这项研究中，我们研究了调控网络的拓扑结构对其模式形成潜力的影响。我们通过将晶格上生成的基因表达水平的异质性与作为零模型的充分搅拌的反应器中生成的水平的异质性进行比较来对网络进行评分，并评估该分数与拓扑特征的相关性，例如密度或中心性度量。密度与产生基因表达异质性的潜力密切相关。对于一些在晶格上产生高度异质性的网络，循环中的中心性和成员资格表明删除基因对产生的异质性水平的影响。
Gene expression levels within a cell are determined by the network of regulatory interactions among genes. In spatially extended systems of multiple cells, gene expression levels are also affected by activity in neighbouring cells. This interplay of a genetic regulatory network and interactions among neighbouring cells may qualitatively alter the dynamics of gene expression and is at the core of biological pattern formation.In this study, we investigate the effects of the topology of a regulatory network on its pattern formation potential. We score networks by comparing the heterogeneity of gene expression levels generated on a lattice to that of the levels generated in a well stirred reactor as a null model, and assess the correlation of this score to characteristics of topology, such as density or centrality measures.Density is strongly correlated to the potential to generate gene expression heterogeneity. For some networks that produce high heterogeneity on lattices, centrality and membership in cycles are indicative of the impact which deleting a gene has on the level of heterogeneity produced.