Kremling Andreas, Goehler Anna, Jahreis Knut, Nees Markus, Auerbach Benedikt, Schmidt-Heck Wolfgang, Kökpinar Oznur, Geffers Robert, Rinas Ursula, Bettenbrock Katja
Systems Biotechnology, Technische Universität München, Boltzmannstr. 15, Garching b. München, Germany.
University Osnabrück, Barbarastrasse 11, Osnabrück, Germany.
Metabolites. 2012 Nov 12;2(4):844-71. doi: 10.3390/metabo2040844.
Metabolism and signalling are tightly coupled in bacteria. Combining several theoretical approaches, a core model is presented that describes transcriptional and allosteric control of glycolysis in Escherichia coli. Experimental data based on microarrays, signalling components and extracellular metabolites are used to estimate kinetic parameters. A newly designed strain was used that adjusts the incoming glucose flux into the system and allows a kinetic analysis. Based on the results, prediction for intracelluar metabolite concentrations over a broad range of the growth rate could be performed and compared with data from literature.
在细菌中,代谢与信号传导紧密耦合。结合多种理论方法,提出了一个核心模型,该模型描述了大肠杆菌糖酵解的转录调控和变构调控。基于微阵列、信号传导成分和细胞外代谢物的实验数据用于估计动力学参数。使用了一种新设计的菌株,该菌株可调节进入系统的葡萄糖通量并允许进行动力学分析。基于这些结果,可以对广泛生长速率范围内的细胞内代谢物浓度进行预测,并与文献数据进行比较。