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Gene Regulatory Networks Special Feature: Xenopus as a model system to study transcriptional regulatory networks

机译:基因调控网络的特色:非洲爪蟾作为研究转录调控网络的模型系统

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摘要

Development is controlled by a complex series of events requiring sequential gene activation. Understanding the logic of gene networks during development is necessary for a complete understanding of how genes contribute to phenotype. Pioneering work initiated in the sea urchin and Drosophila has demonstrated that reasonable transcriptional regulatory network diagrams representing early development in multicellular animals can be generated through use of appropriate genomic, genetic, and biochemical tools. Establishment of similar regulatory network diagrams for vertebrate development is a necessary step. The amphibian Xenopus has long been used as a model for vertebrate early development and has contributed greatly to the elucidation of gene regulation. Because the best and most extensively studied transcriptional regulatory network in Xenopus is that underlying the formation and function of Spemann's organizer, we describe the current status of our understanding of this gene regulatory network and its relationship to mesodermal patterning. Seventy-four transcription factors currently known to be expressed in the mesoendoderm of Xenopus gastrula were characterized according to their modes of action, DNA binding consensus sequences, and target genes. Among them, nineteen transcription factors were characterized sufficiently in detail, allowing us to generate a gene regulatory network diagram. Additionally, we discuss recent amphibian work using a combined DNA microarray and bioinformatics approach that promises to accelerate regulatory network studies.
机译:发育受一系列需要顺序激活基因的复杂事件控制。为了全面了解基因如何影响表型,必须了解发育过程中基因网络的逻辑。在海胆和果蝇中开展的开拓性工作已经证明,可以通过使用适当的基因组,遗传和生化工具来生成代表多细胞动物早期发育的合理转录调控网络图。建立类似的脊椎动物发育调控网络图是必不可少的步骤。两栖动物爪蟾长期以来一直被用作脊椎动物早期发育的模型,并为阐明基因调控做出了巨大贡献。因为在非洲爪蟾中最好,最深入研究的转录调控网络是构成Spemann组织者的基础和功能的基础,所以我们描述了我们对该基因调控网络及其与中胚层模式的关系的了解的现状。根据它们的作用方式,DNA结合共有序列和靶基因,对目前已知在非洲爪蟾中胚层中表达的74种转录因子进行了表征。其中,对19个转录因子进行了足够详细的表征,从而使我们能够生成基因调控网络图。此外,我们将结合DNA微阵列和生物信息学方法讨论最近的两栖动物工作,有望加速监管网络研究。

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