Metabolic flux analysis of hybridoma continuous culture steady state multiplicity

Author(s):  
Brian D. Follstad ◽  
R. Robert Balcarcel ◽  
Gregory Stephanopoulos ◽  
Daniel I. C. Wang
2019 ◽  
Vol 35 (14) ◽  
pp. i548-i557 ◽  
Author(s):  
Markus Heinonen ◽  
Maria Osmala ◽  
Henrik Mannerström ◽  
Janne Wallenius ◽  
Samuel Kaski ◽  
...  

AbstractMotivationMetabolic flux balance analysis (FBA) is a standard tool in analyzing metabolic reaction rates compatible with measurements, steady-state and the metabolic reaction network stoichiometry. Flux analysis methods commonly place model assumptions on fluxes due to the convenience of formulating the problem as a linear programing model, while many methods do not consider the inherent uncertainty in flux estimates.ResultsWe introduce a novel paradigm of Bayesian metabolic flux analysis that models the reactions of the whole genome-scale cellular system in probabilistic terms, and can infer the full flux vector distribution of genome-scale metabolic systems based on exchange and intracellular (e.g. 13C) flux measurements, steady-state assumptions, and objective function assumptions. The Bayesian model couples all fluxes jointly together in a simple truncated multivariate posterior distribution, which reveals informative flux couplings. Our model is a plug-in replacement to conventional metabolic balance methods, such as FBA. Our experiments indicate that we can characterize the genome-scale flux covariances, reveal flux couplings, and determine more intracellular unobserved fluxes in Clostridium acetobutylicum from 13C data than flux variability analysis.Availability and implementationThe COBRA compatible software is available at github.com/markusheinonen/bamfa.Supplementary informationSupplementary data are available at Bioinformatics online.


2003 ◽  
Vol 5 (1) ◽  
pp. 16-31 ◽  
Author(s):  
Juha-Pekka Pitkänen ◽  
Aristos Aristidou ◽  
Laura Salusjärvi ◽  
Laura Ruohonen ◽  
Merja Penttilä

2020 ◽  
Author(s):  
Huan Li ◽  
Min Chen ◽  
Peng Liu ◽  
Shuai Wang ◽  
JY Xia

Abstract Crabtree effect is well known for Saccharomyces cerevisiae, and is defined as glucose-induced repression of respiratory flux. Even though a number of hypotheses have been formulated, its triggering mechanisms are still unknown. At present, the information about intracellular metabolic flux can be obtained by the 13C isotope labeling experiments. 13C metabolic flux analysis(13C-MFA) is a traditional method for calculating metabolic flux based on isotopic steady state. Another new method (INST-13C-MFA: Isotopically nonstationary metabolic flux analysis) based on isotope non-steady state is being used by researchers. In this review, we have chemostatized S. cerevisiae at three different dilution rates (D=0.12, 0.22, 0.32 h-1) and obtained the metabolic flux distribution of the intracellular central carbon metabolic of S. cerevisiae using INST-13C-MFA. Combined with the metabolome and metabolic fluxome data, we found obvious metabolic flux shift under the three different physiological states. In this process, pyruvate decarboxylase, ethanol dehydrogenase and acetyl-CoA synthase(AcCoA) catalyzed reactions were key points. Negative correlation between relative flux of embden meyerh of pathway(EMP) and tricarboxylic acid cycle(TCA) and biomass yield, while positive correlation for pentose phosphate pathway(PPP) were observed. Yield of acetate and glycerol did not change significantly, while that of ethanol increased sharply. In the central carbon metabolism (CCM), most of the carbon flux (70%) was directed to the EMP. At the same time, the energy charge increased with dilution rate, and the cell's energy supply mode gradually shifted from oxidative respiration to substrate level phosphorylation mode.


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