The use of in situ haemoglobin-free perfused liver in metabolic-control analysis

2000 ◽  
Vol 28 (2) ◽  
pp. 109-113 ◽  
Author(s):  
S. Soboll ◽  
G. C. Brown

In this study the network of ATP-consuming and -producing reactions, interacting via the cytosolic ATP/ADP + P1 system, was studied for the first time in an intact organ, the isolated perfused rat liver, using top-down metabolic-control analysis. Flux control in the metabolically resting state (only oxidative phosphorylation and ion pumps active) was only in the ATP-consumers, whereas in the metabolically active state (biosyntheses and ion-pumping ATPases active) most control over oxidative phosphorylation was in itself and some control was in ion-pumping ATPases. All ATP-consumers had high control over themselves, and ion-pumping ATPases had high negative control over the other ATP-consuming branches. Oxidative phosphorylation had high positive control over ATP-consuming reactions exept for ion-pumping ATPases. It is concluded that in the active state ATP-consumers compete for cytosolic ATP, but as the ion-pumping ATPases and oxidative phosphorylation are less sensitive towards the cytosolic ATP, other ATP-consumers have low control over these pathways.

Author(s):  
Sophia Tsouka ◽  
Meric Ataman ◽  
Tuure Hameri ◽  
Ljubisa Miskovic ◽  
Vassily Hatzimanikatis

1993 ◽  
Vol 9 (3) ◽  
pp. 221-233 ◽  
Author(s):  
James C. Liao ◽  
Javier Delgado

2014 ◽  
Vol 86 (9) ◽  
pp. 1403-1403
Author(s):  
D. Volke ◽  
B. Engels ◽  
L. Wright ◽  
J. Gershenzon ◽  
S. Jennewein

2020 ◽  
Author(s):  
Sophia Tsouka ◽  
Meric Ataman ◽  
Tuure Hameri ◽  
Ljubisa Miskovic ◽  
Vassily Hatzimanikatis

AbstractThe advancements in genome editing techniques over the past years have rekindled interest in rational metabolic engineering strategies. While Metabolic Control Analysis (MCA) is a well-established method for quantifying the effects of metabolic engineering interventions on flows in metabolic networks and metabolic concentrations, it fails to account for the physiological limitations of the cellular environment and metabolic engineering design constraints. We report here a constraint-based framework based on MCA, Network Response Analysis (NRA), for the rational genetic strain design that incorporates biologically relevant constraints, as well as genome editing restrictions. The NRA core constraints being similar to the ones of Flux Balance Analysis, allow it to be used for a wide range of optimization criteria and with various physiological constraints. We show how the parametrization and introduction of biological constraints enhance the NRA formulation compared to the classical MCA approach, and we demonstrate its features and its ability to generate multiple alternative optimal strategies given several user-defined boundaries and objectives. In summary, NRA is a sophisticated alternative to classical MCA for rational metabolic engineering that accommodates the incorporation of physiological data at metabolic flux, metabolite concentration, and enzyme expression levels.


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