Modeling diauxic glycolytic oscillations in yeast
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Standard
Modeling diauxic glycolytic oscillations in yeast. / Hald, Bjørn Olav; Sørensen, Preben Graae.
I: Biophysical Journal (2011), Bind 99, Nr. 10, 2010, s. 3191-3199.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Modeling diauxic glycolytic oscillations in yeast
AU - Hald, Bjørn Olav
AU - Sørensen, Preben Graae
N1 - Copyright © 2010 Biophysical Society. Published by Elsevier Inc. All rights reserved.
PY - 2010
Y1 - 2010
N2 - Glycolytic oscillations in a stirred suspension of starved yeast cells is an excellent model system for studying the dynamics of metabolic switching in living systems. In an open-flow system the oscillations can be maintained indefinitely at a constant operating point where they can be characterized quantitatively by experimental quenching and bifurcation analysis. In this article, we use these methods to show that the dynamics of oscillations in a closed system is a simple transient version of the open-system dynamics. Thus, easy-setup closed-system experiments are also useful for investigations of central metabolism dynamics of yeast cells. We have previously proposed a model for the open system comprised of the primary fermentative reactions in yeast that quantitatively describes the oscillatory dynamics. However, this model fails to describe the transient behavior of metabolic switching in a closed-system experiment by feeding the yeast suspension with a glucose pulse-notably the initial NADH spike and final NADH rise. Another object of this study is to gain insight into the secondary low-flux metabolic pathways by feeding starved yeast cells with various metabolites. Experimental and computational results strongly suggest that regulation of acetaldehyde explains the observed behavior. We have extended the original model with regulation of pyruvate decarboxylase, a reversible alcohol dehydrogenase, and drainage of pyruvate. Using the method of time rescaling in the extended model, the description of the transient closed-system experiments is significantly improved.
AB - Glycolytic oscillations in a stirred suspension of starved yeast cells is an excellent model system for studying the dynamics of metabolic switching in living systems. In an open-flow system the oscillations can be maintained indefinitely at a constant operating point where they can be characterized quantitatively by experimental quenching and bifurcation analysis. In this article, we use these methods to show that the dynamics of oscillations in a closed system is a simple transient version of the open-system dynamics. Thus, easy-setup closed-system experiments are also useful for investigations of central metabolism dynamics of yeast cells. We have previously proposed a model for the open system comprised of the primary fermentative reactions in yeast that quantitatively describes the oscillatory dynamics. However, this model fails to describe the transient behavior of metabolic switching in a closed-system experiment by feeding the yeast suspension with a glucose pulse-notably the initial NADH spike and final NADH rise. Another object of this study is to gain insight into the secondary low-flux metabolic pathways by feeding starved yeast cells with various metabolites. Experimental and computational results strongly suggest that regulation of acetaldehyde explains the observed behavior. We have extended the original model with regulation of pyruvate decarboxylase, a reversible alcohol dehydrogenase, and drainage of pyruvate. Using the method of time rescaling in the extended model, the description of the transient closed-system experiments is significantly improved.
KW - Acetaldehyde
KW - Acetates
KW - Biomass
KW - Computer Simulation
KW - Cyanides
KW - Ethanol
KW - Fluorescence
KW - Glucose
KW - Glycolysis
KW - Models, Biological
KW - NADP
KW - Oxidative Phosphorylation
KW - Saccharomyces cerevisiae
KW - Time Factors
U2 - 10.1016/j.bpj.2010.09.052
DO - 10.1016/j.bpj.2010.09.052
M3 - Journal article
C2 - 21081066
VL - 99
SP - 3191
EP - 3199
JO - Biophysical Journal
JF - Biophysical Journal
SN - 0006-3495
IS - 10
ER -
ID: 38229488