The energetics of activator–promoter recognition

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Current Opinion in Systems Biology Pub Date : 2022-09-01 DOI:10.1016/j.coisb.2022.100434
Hinrich Boeger
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引用次数: 0

Abstract

Eukaryotes and bacteria have evolved entirely different mechanisms to cope with the problem of how to reconcile regulatory specificity in transcription, the recognition of specific DNA sequences by transcriptional activators, with speed, the ability to quickly respond to environmental change. It is argued here that eukaryotes enhance the specificity of activator–promoter recognition via ATP-dependent chromatin remodeling, whereas bacteria employ allosteric effectors to control specific activator–DNA binding reactions.

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激活子-启动子识别的能量学
真核生物和细菌已经进化出完全不同的机制来应对如何协调转录中的调节特异性问题,即转录激活子识别特定DNA序列的速度,以及快速响应环境变化的能力。本文认为真核生物通过依赖atp的染色质重塑来增强激活子-启动子识别的特异性,而细菌则利用变构效应物来控制特定的激活子- dna结合反应。
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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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From regulation of cell fate decisions towards patient-specific treatments, insights from mechanistic models of signalling pathways Editorial overview: Systems biology of ecological interactions across scales A critical review of multiscale modeling for predictive understanding of cancer cell metabolism Network modeling approaches for metabolic diseases and diabetes Contents
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