Revisiting models of enhancer–promoter communication in gene regulation

IF 5.5 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Gilad Barshad, Charles G. Danko
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引用次数: 0

Abstract

Enhancer–promoter communication is fundamental to gene regulation in metazoans, yet the mechanisms underlying these interactions remain debated. Two primary models have been proposed: the structural bridge model, in which enhancers and promoters come into close proximity through stable, protein-mediated interactions, and the hub model, in which dynamic clusters of transcription-associated proteins facilitate communication over variable distances. Emerging evidence suggests that although enhancer–promoter pairs do come into close proximity during transcriptional activation, these interactions are highly transient, and the precise distances remain challenging to measure. Moving forward, resolving the distinctions between these models will require novel techniques to more precisely measure the spatial and temporal dynamics of enhancer–promoter interactions. Understanding how enhancers interact with promoters will deepen our understanding of the regulation of gene expression and the molecular underpinnings of transcriptional control.
基因调控中增强子-启动子通讯模型的回顾
增强子-启动子通信是后生动物基因调控的基础,但这些相互作用的机制仍存在争议。已经提出了两种主要模型:结构桥模型,其中增强子和启动子通过稳定的蛋白质介导的相互作用接近,以及枢纽模型,其中转录相关蛋白的动态簇促进了可变距离的通信。新出现的证据表明,虽然增强子-启动子对在转录激活过程中确实接近,但这些相互作用是高度短暂的,精确的距离仍然难以测量。展望未来,解决这些模型之间的差异将需要新的技术来更精确地测量增强子-启动子相互作用的空间和时间动态。了解增强子如何与启动子相互作用将加深我们对基因表达调控和转录控制的分子基础的理解。
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来源期刊
Genome research
Genome research 生物-生化与分子生物学
CiteScore
12.40
自引率
1.40%
发文量
140
审稿时长
6 months
期刊介绍: Launched in 1995, Genome Research is an international, continuously published, peer-reviewed journal that focuses on research that provides novel insights into the genome biology of all organisms, including advances in genomic medicine. Among the topics considered by the journal are genome structure and function, comparative genomics, molecular evolution, genome-scale quantitative and population genetics, proteomics, epigenomics, and systems biology. The journal also features exciting gene discoveries and reports of cutting-edge computational biology and high-throughput methodologies. New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are presented electronically on the journal''s web site where appropriate. The journal also provides Reviews, Perspectives, and Insight/Outlook articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context.
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