转录因子在染色质上的结合和活性

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Current Opinion in Systems Biology Pub Date : 2022-09-01 DOI:10.1016/j.coisb.2022.100438
Jorge Trojanowski , Karsten Rippe
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引用次数: 4

摘要

转录因子(TFs)通过其DNA结合域在基因启动子或增强子上的结合是导致真核生物转录激活的多步骤过程的一部分。不同TF状态的动力学开断率受多种因素的复杂相互作用控制,这些因素包括单个核小体位置水平上的染色质组织,以及中观尺度上活跃转录的染色质亚室。此外,TF DNA结合域和激活域不仅影响TF在染色质上的组装。在这里,我们总结了最近关于TF结合、染色质组织和基因激活之间相互作用的发现,以突出构建真核生物基因调控定量模型需要考虑的特征。
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Transcription factor binding and activity on chromatin

The binding of transcription factors (TFs) via their DNA binding domain at gene promoters or enhancers is part of a multi-step process that leads to transcription activation in eukaryotes. The kinetic on- and off-rates of different TF states are governed by a complex interplay of factors that involve chromatin organization on the level of individual nucleosome positions up to actively transcribed chromatin subcompartments on the mesoscale. Furthermore, not only the TF DNA binding domain but also the activation domain affect TF assembly on chromatin. Here, we summarize recent findings on the interplay between TF binding, chromatin organization, and gene activation to highlight features that need to be considered for constructing quantitative models of eukaryotic gene regulation.

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来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
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