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基于DNA序列的顺式调控基因网络建模。

Modeling DNA sequence-based cis-regulatory gene networks.

作者信息

Bolouri Hamid, Davidson Eric H

机构信息

Science & Technology Research Centre, University of Hertfordshire, Hatfield, Hertfordshire, AL10 9AB, United Kingdom.

出版信息

Dev Biol. 2002 Jun 1;246(1):2-13. doi: 10.1006/dbio.2002.0617.

DOI:10.1006/dbio.2002.0617
PMID:12027430
Abstract

Gene network analysis requires computationally based models which represent the functional architecture of regulatory interactions, and which provide directly testable predictions. The type of model that is useful is constrained by the particular features of developmentally active cis-regulatory systems. These systems function by processing diverse regulatory inputs, generating novel regulatory outputs. A computational model which explicitly accommodates this basic concept was developed earlier for the cis-regulatory system of the endo16 gene of the sea urchin. This model represents the genetically mandated logic functions that the system executes, but also shows how time-varying kinetic inputs are processed in different circumstances into particular kinetic outputs. The same basic design features can be utilized to construct models that connect the large number of cis-regulatory elements constituting developmental gene networks. The ultimate aim of the network models discussed here is to represent the regulatory relationships among the genomic control systems of the genes in the network, and to state their functional meaning. The target site sequences of the cis-regulatory elements of these genes constitute the physical basis of the network architecture. Useful models for developmental regulatory networks must represent the genetic logic by which the system operates, but must also be capable of explaining the real time dynamics of cis-regulatory response as kinetic input and output data become available. Most importantly, however, such models must display in a direct and transparent manner fundamental network design features such as intra- and intercellular feedback circuitry; the sources of parallel inputs into each cis-regulatory element; gene battery organization; and use of repressive spatial inputs in specification and boundary formation. Successful network models lead to direct tests of key architectural features by targeted cis-regulatory analysis.

摘要

基因网络分析需要基于计算的模型,这些模型能够代表调控相互作用的功能架构,并提供可直接检验的预测。有用的模型类型受到发育活跃的顺式调控系统的特定特征的限制。这些系统通过处理各种调控输入来发挥作用,产生新的调控输出。早期为海胆endo16基因的顺式调控系统开发了一个明确包含这一基本概念的计算模型。该模型不仅代表了系统执行的遗传规定逻辑功能,还展示了时变动力学输入在不同情况下如何被处理为特定的动力学输出。相同的基本设计特征可用于构建连接构成发育基因网络的大量顺式调控元件的模型。这里讨论的网络模型的最终目标是表示网络中基因的基因组控制系统之间的调控关系,并阐明其功能意义。这些基因的顺式调控元件的靶位点序列构成了网络架构的物理基础。发育调控网络的有用模型必须代表系统运作的遗传逻辑,但也必须能够在获得动力学输入和输出数据时解释顺式调控反应的实时动态。然而,最重要的是,这样的模型必须以直接和透明的方式展示基本的网络设计特征,如细胞内和细胞间反馈回路;每个顺式调控元件的并行输入来源;基因簇组织;以及在规格和边界形成中使用抑制性空间输入。成功的网络模型通过有针对性的顺式调控分析对关键架构特征进行直接测试。

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