作为细菌信号发生器的新陈代谢

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Daniela Ledezma-Tejeida , Evgeniya Schastnaya , Uwe Sauer
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引用次数: 4

摘要

细菌不断地监测它们的环境,以适应它们的内部构成。除了提供化学物质外,代谢还通过代谢物与调节蛋白或mRNA的结合提供了对细胞环境的大部分反馈。虽然第一个代谢物-蛋白质相互作用是在60多年前发现的,但鉴定新的相互作用在技术上仍然具有挑战性和耗时。在这里,我们汇编和量化了目前关于代谢物-蛋白质相互作用的知识,并回顾了在相互作用鉴定和理解代谢物如何作为转录因子、双组分系统、蛋白激酶和核开关的信号方面的最新进展。代谢蛋白鉴定和组学整合的新系统方法将加速发现的步伐,剩下的挑战是理解功能和跨不同调节层的局部和全局代谢信号的协调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolism as a signal generator in bacteria

Bacteria constantly monitor their environment to adapt their inner makeup. Beyond providing chemical sustenance, metabolism provides most of the feedback on the cellular environment via metabolite binding to regulatory proteins or mRNA. Although first metabolite-protein interactions were discovered more than 60 years ago, identification of new interactions is still technically challenging and time-consuming. Here, we compiled and quantified the current knowledge on metabolite-protein interactions and review recent advances in the identification of interactions and in understanding how metabolites act as signals to transcription factors, two-component systems, protein kinases, and riboswitches. New systematic methods of metabolite-protein identification and omics integration will accelerate the pace of discovery, a remaining challenge is understanding of functionality and the coordination of local and global metabolic signals across different regulatory layers.

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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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