Max Planck Institute for Terrestrial Microbiology, Marburg, Germany.
Wiley Interdiscip Rev Syst Biol Med. 2018 Jan;10(1). doi: 10.1002/wsbm.1396. Epub 2017 Aug 15.
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.
细胞采用多种机制来动态控制酶的表达。一种重要的机制是转录和代谢之间的相互反馈或串扰。最近有人提出,酶的水平通常远远高于维持代谢通量所需的绝对水平。然而,鉴于高酶水平的潜在负担,细胞似乎很可能会控制酶的表达,以满足其他细胞目标。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知细胞,对于各种适应性方面,多少酶是最佳的。为了理解串扰对酶水平的优化,需要解决两个主要问题。首先,代谢物-蛋白质相互作用的映射对于更好地理解串扰的机制至关重要。其次,研究定义最佳酶水平的细胞目标可以揭示串扰的功能相关性。我们从实验转录组和代谢组数据以及理论网络分析中,介绍了最近研究如何解决这些问题的方法。WIREs 系统生物学和医学 2018, 10:e1396. doi: 10.1002/wsbm.1396 本文属于以下类别: 生物机制 > 代谢 实验室方法和技术 > 代谢组学 生物机制 > 调控生物学。