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HLH-1 and the C. elegans body wall muscle transcriptional differentiation network

机译:HLH-1和秀丽隐杆线虫体壁肌肉转录分化网络

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摘要

To understand the structure and function of gene regulatory networks, it is important to first catalogue the components. Measurable constituents of networks include cis-regulatory elements, identified by their conservation and ability to drive expression; transcription factor binding motifs, identified by protein binding; transcription factors, identified by their necessity in network function; and target genes, identified by their conditional expression. The heart of a regulatory network is the transcription factor, which is dedicated to its role in the network. Transcription factors must be activated and regulate downstream targets in a discrete and reproducible fashion. Any deviation in network function may result in the collapse of the network and death of the animal. Thus, a network must be robust enough to function under a variety of biological conditions. However, network redundancies are inefficient in terms of fitness and lost during the course of evolution. The network structure and function reflects these evolutionary realities: strong sequence conservation of cis-regulatory elements coupled with widespread stochastic transcription factor binding, and ancient transcription factor conservation coupled with overlapping activation of targets. The evolution of functional transcription factor networks therefore must be a balance between conservation and flexibility.
机译:要了解基因调控网络的结构和功能,重要的是首先对这些成分进行分类。网络的可测量组成部分包括顺式调控元件,其通过保守性和驱动表达的能力来识别;通过蛋白质结合鉴定的转录因子结合基序;转录因子,由其在网络功能中的必要性确定;和靶基因,由它们的条件表达确定。监管网络的核心是转录因子,转录因子专门用于其在网络中的作用。转录因子必须被激活并以离散且可再现的方式调节下游靶标。网络功能的任何偏差都可能导致网络崩溃和动物死亡。因此,网络必须足够健壮,才能在各种生物学条件下运行。但是,网络冗余在适应性方面效率低下,并且在演进过程中会丢失。网络结构和功能反映了这些进化现实:顺式调控元件的强序列保守性与广泛的随机转录因子结合,以及古老的转录因子保守性与靶标的重叠激活相结合。因此,功能性转录因子网络的进化必须在保守性和灵活性之间取得平衡。

著录项

  • 作者

    Kuntz, Steven Gregory.;

  • 作者单位

    California Institute of Technology.;

  • 授予单位 California Institute of Technology.;
  • 学科 Evolution development.;Bioinformatics.;Molecular biology.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 202 p.
  • 总页数 202
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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