Sustained oscillations in free-energy state and hexose phosphates in yeast

Richard, Peter; Teusink, Bas; Hemker, Mirte B.; Dam, K. Van; Westerhoff, Hans V.

doi:10.1002/(sici)1097-0061(19960630)12:8<731::aid-yea961>3.0.co;2-z

Cited by 87 publications

(100 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…7. The data also indicate that Aca has an almost immediate effect on the glycolytic dynamics, despite the fact that Aca is distant to the core of the glycolytic oscillator (19)(20)(21)(22). This behavior fits a scenario where the glycolytic oscillators are close to a Hopf bifurcation (10), and the Aca membrane transport kinetics is fast compared with the time scales of the glycolytic oscillator (S. De Monte, F. d'Ovidio, S.D., and P.G.S., unpublished data).…”

Section: Resultsmentioning

confidence: 79%

Quantitative characterization of cell synchronization in yeast

Danø

Sørensen²

2007

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Metabolic oscillations in baker's yeast serve as a model system for synchronization of biochemical oscillations. Despite widespread interest, the complexity of the phenomenon has been an obstacle for a quantitative understanding of the cell synchronization process. In particular, when two yeast cell populations oscillating 180°out of phase are mixed, it appears as if the synchronization dynamics is too fast to be explained. We have probed the synchronization dynamics by forcing experiments in an open-flow reactor, and we find that acetaldehyde has a very strong synchronization effect that can account quantitatively for the classical mixing experiment. The fast synchronization dynamics is explained by a general synchronization mechanism, which is dominated by a fast amplitude response as opposed to the expected slow phase change. We also show that glucose can mediate this kind of synchronization, provided that the glucose transporter is not saturated. This makes the phenomenon potentially relevant for a broad range of cell types. . A manifest demonstration of this phenomenon occurs when two suspensions oscillating 180°out of phase are mixed. Just after mixing, the macroscopic oscillations disappear momentarily, but the two subpopulations synchronize within 5 min (i.e., Ͻ10 times the period of the oscillations) and the macroscopic oscillations reappear with full amplitude (3-5). This indicates active in-phase synchronization. It is believed that the synchronization is mediated by simple metabolites related to glycolysis (1,4,5), and as such it is an example of cell-cell communication that does not depend on any highly specialized signaling molecules or receptors. A similar synchronization mechanism could be operative in any oscillatory cell type, possibly through other metabolic signaling channels. Therefore, the understanding of the mechanism for glycolytic cell synchronization in yeast is important for the general understanding of cellular dynamics and interactions. Acetaldehyde (Aca) has been proposed as mediator of the synchronization (5). If this is the true mechanism of the phenomenon, then this understanding should allow us to explain it not only qualitatively but also quantitatively correct. It has been questioned whether the amount of Aca produced by the yeast cells is enough to cause synchronization (1), and several attempts have been made to account quantitatively for the synchronization process by using mathematical models based on biochemical descriptions (6-8). None of these have, however, been successful in explaining all experimental facts. In all cases, the synchronization process is one order of magnitude too slow, and in some cases the models even predict out-of-phase synchronization instead of the inphase synchronization seen experimentally.A necessary condition for a chemical species to act as a synchronizer is that it can penetrate the cell membrane, and that an instantaneous change in its concentration will influence the oscillations and give rise to an amplitude or phase change. Many differ...

show abstract

Section: Resultsmentioning

confidence: 79%

Quantitative characterization of cell synchronization in yeast

Danø

Sørensen²

2007

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

show abstract

“…Thus, neither the cardiac nor the circadian pacemaker are likely to be coupled by the sort of diffusive mechanism assumed in our model. Perhaps the closest analog to our system in nature is the metabolic synchrony observed in a well mixed suspension of yeast cells, in which the glycolytic oscillations of millions of cells are mutually synchronized by diffusive exchange of acetaldehyde (37,38).…”

Section: Discussionmentioning

confidence: 96%

Modeling a synthetic multicellular clock: Repressilators coupled by quorum sensing

García-Ojalvo

Elowitz

Strogatz

2004

Proc. Natl. Acad. Sci. U.S.A.

541

480

View full text Add to dashboard Cite

Diverse biochemical rhythms are generated by thousands of cellular oscillators that somehow manage to operate synchronously. In fields ranging from circadian biology to endocrinology, it remains an exciting challenge to understand how collective rhythms emerge in multicellular structures. Using mathematical and computational modeling, we study the effect of coupling through intercell signaling in a population of Escherichia coli cells expressing a synthetic biological clock. Our results predict that a diverse and noisy community of such genetic oscillators interacting through a quorum-sensing mechanism should self-synchronize in a robust way, leading to a substantially improved global rhythmicity in the system. As such, the particular system of coupled genetic oscillators considered here might be a good candidate to provide the first quantitative example of a synchronization transition in a population of biological oscillators.

show abstract

“…Meanwhile, pyruvate and ethanol concentrations increased virtually monotonically. During the case of sustained oscillations in NADH, also the concentrations of the adenine nucleotides, and the hexose phosphates oscillated [24]. Fig.…”

Section: Experimerltulmentioning

confidence: 92%

Control analysis of glycolytic oscillations

Bier

Teusink

Kholodenko

et al. 1996

Biophysical Chemistry

Self Cite

View full text Add to dashboard Cite

Control analysis of glycolytic oscillations.Bier, M.; Teusink, B.; Kholodenko, B.N.; Westerhoff, H.V. General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. Download date: 11 May 2018Biophysical Chemistry The extent to which an enzyme (-conglomerate) controls the frequency in a swtained oscillation is defined as the Iof~~log derivative of that frequency with respect to enzyme activity.In both the full model and the core model this control 01. frequency and the control over the average concentrations proved to be distributed over the ewymeh. WC identified a summation theorem, stating that the sum of such control coefficients over all processes equals unity for l'requcnc! ;uncl xl-cl for the average concentrations.K~~rr.ori/.\' ('ontrol analysis: Glycolytic oscillations

show abstract

Sustained oscillations in free-energy state and hexose phosphates in yeast

Cited by 87 publications

References 25 publications

Quantitative characterization of cell synchronization in yeast

Quantitative characterization of cell synchronization in yeast

Modeling a synthetic multicellular clock: Repressilators coupled by quorum sensing

Control analysis of glycolytic oscillations

Contact Info

Product

Resources

About