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从代谢功能的定量分析推断亚细胞蔗糖裂解的代谢调控。

Metabolic regulation of subcellular sucrose cleavage inferred from quantitative analysis of metabolic functions.

作者信息

Nägele Thomas

机构信息

Faculty of Biology, Plant Evolutionary Cell Biology, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany.

出版信息

Quant Plant Biol. 2022 Jun 13;3:e10. doi: 10.1017/qpb.2022.5. eCollection 2022.

DOI:10.1017/qpb.2022.5
PMID:37077978
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10095975/
Abstract

Quantitative analysis of experimental metabolic data is frequently challenged by non-intuitive, complex patterns which emerge from regulatory networks. The complex output of metabolic regulation can be summarised by metabolic functions which comprise information about dynamics of metabolite concentrations. In a system of ordinary differential equations, metabolic functions reflect the sum of biochemical reactions which affect a metabolite concentration, and their integration over time reveals metabolite concentrations. Further, derivatives of metabolic functions provide essential information about system dynamics and elasticities. Here, invertase-driven sucrose hydrolysis was simulated in kinetic models on a cellular and subcellular level. Both Jacobian and Hessian matrices of metabolic functions were derived for quantitative analysis of kinetic regulation of sucrose metabolism. Model simulations suggest that transport of sucrose into the vacuole represents a central regulatory element in plant metabolism during cold acclimation which preserves control of metabolic functions and limits feedback-inhibition of cytosolic invertases by elevated hexose concentrations.

摘要

实验代谢数据的定量分析常常面临挑战,这些挑战来自调控网络中出现的非直观、复杂模式。代谢调节的复杂输出可以通过代谢函数来概括,这些代谢函数包含有关代谢物浓度动态变化的信息。在常微分方程系统中,代谢函数反映了影响代谢物浓度的生化反应总和,它们随时间的积分揭示了代谢物浓度。此外,代谢函数的导数提供了有关系统动态和弹性的重要信息。在此,在细胞和亚细胞水平的动力学模型中模拟了转化酶驱动的蔗糖水解。推导了代谢函数的雅可比矩阵和海森矩阵,用于对蔗糖代谢的动力学调节进行定量分析。模型模拟表明,蔗糖向液泡的转运是植物冷驯化过程中代谢的核心调节元件,它保持对代谢功能的控制,并限制己糖浓度升高对胞质转化酶的反馈抑制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/124f58ce7689/S2632882822000054_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/ebcb00560b68/S2632882822000054_figAb.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/c1669efadd20/S2632882822000054_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/63a19ccbfb35/S2632882822000054_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/58af152bbbd1/S2632882822000054_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/124f58ce7689/S2632882822000054_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/ebcb00560b68/S2632882822000054_figAb.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/c1669efadd20/S2632882822000054_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/63a19ccbfb35/S2632882822000054_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/58af152bbbd1/S2632882822000054_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9691/10095975/124f58ce7689/S2632882822000054_fig4.jpg

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