转录和代谢之间的串扰:一个细胞需要多少酶?

IF 7.9 Q1 Medicine
Stefano Donati, Timur Sander, Hannes Link
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引用次数: 29

摘要

细胞采用各种机制来动态控制酶的表达。一个重要的机制是转录和代谢之间的相互反馈或串扰。正如最近提出的那样,酶的水平往往远远高于维持代谢通量的绝对需要。然而,考虑到高酶水平的潜在负担,细胞控制酶表达以满足其他细胞目标似乎是可能的。在这篇综述中,我们讨论了代谢和转录之间的串扰是否可以告诉细胞多少酶对各种适应性方面是最佳的。为了理解通过串声优化酶水平,应该解决两个主要问题。首先,代谢物-蛋白质相互作用的图谱对于获得对串扰更好的机制理解至关重要。其次,研究确定最佳酶水平的细胞目标可以揭示串扰的功能相关性。我们提出了最近的研究接近这些问题,从实验转录和代谢物数据,并从理论网络分析。中国生物医学工程学报,2018,32(1):444 - 444。doi: 10.1002 / wsbm.1396本文分类如下:生物学机制>代谢实验室方法与技术>代谢组学生物学机制>调节生物学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crosstalk between transcription and metabolism: how much enzyme is enough for a cell?

Cells employ various mechanisms for dynamic control of enzyme expression. An important mechanism is mutual feedback-or crosstalk-between transcription and metabolism. As recently suggested, enzyme levels are often much higher than absolutely needed to maintain metabolic flux. However, given the potential burden of high enzyme levels it seems likely that cells control enzyme expression to meet other cellular objectives. In this review, we discuss whether crosstalk between metabolism and transcription could inform cells about how much enzyme is optimal for various fitness aspects. Two major problems should be addressed in order to understand optimization of enzyme levels by crosstalk. First, mapping of metabolite-protein interactions will be crucial to obtain a better mechanistic understanding of crosstalk. Second, investigating cellular objectives that define optimal enzyme levels can reveal the functional relevance of crosstalk. We present recent studies that approach these problems, drawing from experimental transcript and metabolite data, and from theoretical network analyses. WIREs Syst Biol Med 2018, 10:e1396. doi: 10.1002/wsbm.1396 This article is categorized under: Biological Mechanisms > Metabolism Laboratory Methods and Technologies > Metabolomics Biological Mechanisms > Regulatory Biology.

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来源期刊
CiteScore
18.40
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Journal Name:Wiley Interdisciplinary Reviews-Systems Biology and Medicine Focus: Strong interdisciplinary focus Serves as an encyclopedic reference for systems biology research Conceptual Framework: Systems biology asserts the study of organisms as hierarchical systems or networks Individual biological components interact in complex ways within these systems Article Coverage: Discusses biology, methods, and models Spans systems from a few molecules to whole species Topical Coverage: Developmental Biology Physiology Biological Mechanisms Models of Systems, Properties, and Processes Laboratory Methods and Technologies Translational, Genomic, and Systems Medicine
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