dc.contributor.author | Martínez de la Fuente Martínez, Ildefonso Abel | |
dc.contributor.author | Vadillo Arroyo, Fernando | |
dc.contributor.author | Pérez Samartín, Alberto Luis | |
dc.contributor.author | Pérez Pinilla, Martín Blas | |
dc.contributor.author | Bidaurrazaga Van Dierdonck, Joseba | |
dc.contributor.author | Vera López, Antonio | |
dc.date.accessioned | 2011-06-06T17:54:30Z | |
dc.date.available | 2011-06-06T17:54:30Z | |
dc.date.issued | 2010-03-02 | |
dc.identifier.citation | PLoS ONE 5(3) : (2010) // e9484 | es |
dc.identifier.issn | 1932-6203 | |
dc.identifier.uri | http://hdl.handle.net/10810/2734 | |
dc.description | 15 p. | es |
dc.description.abstract | Background: Different studies have shown that cellular enzymatic activities are able to self-organize spontaneously, forming a metabolic core of reactive processes that remain active under different growth conditions while the rest of the molecular catalytic reactions exhibit structural plasticity. This global cellular metabolic structure appears to be an intrinsic characteristic common to all cellular organisms. Recent work performed with dissipative metabolic networks has shown that the fundamental element for the spontaneous emergence of this global self-organized enzymatic structure could be the number of catalytic elements in the metabolic networks.
Methodology/Principal Findings: In order to investigate the factors that may affect the catalytic dynamics under a global metabolic structure characterized by the presence of metabolic cores we have studied different transitions in catalytic patterns belonging to a dissipative metabolic network. The data were analyzed using non-linear dynamics tools: power spectra, reconstructed attractors, long-term correlations, maximum Lyapunov exponent and Approximate Entropy; and we have found the emergence of self-regulation phenomena during the transitions in the metabolic activities.
Conclusions/Significance: The analysis has also shown that the chaotic numerical series analyzed correspond to the fractional Brownian motion and they exhibit long-term correlations and low Approximate Entropy indicating a high level of predictability and information during the self-regulation of the metabolic transitions. The results illustrate some aspects of the mechanisms behind the emergence of the metabolic self-regulation processes, which may constitute an important property of the global structure of the cellular metabolism. | es |
dc.description.sponsorship | This work was supported by the Spanish Ministry of Science and Education Grants with the projects MTM2007-62186 and MTM2005-01504 and by the Basque Government grants GIC07/151-IT-254-07 and IT-305-07. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. | es |
dc.language.iso | eng | es |
dc.publisher | Public Library of Science | es |
dc.rights | info:eu-repo/semantics/openAccess | es |
dc.subject | long range correlations | es |
dc.subject | pancreatic beta-cell | es |
dc.subject | tobacco by 2 cells | es |
dc.subject | time series | es |
dc.subject | saccharomyces cerevisiae | es |
dc.subject | glycolytic oscillations | es |
dc.subject | biochemical system | es |
dc.subject | in-vivo | es |
dc.subject | autonomous oscillations | es |
dc.subject | dissipative structures | es |
dc.title | Global Self-Regulation of the Cellular Metabolic Structure | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2010 De la Fuente et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | es |
dc.relation.publisherversion | http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0009484 | es |
dc.identifier.doi | 10.1371/journal.pone.0009484 | |
dc.departamentoes | Matemáticas | es_ES |
dc.departamentoes | Neurociencias | es_ES |
dc.departamentoes | Matemática Aplicada, Estadística e Investigación Operativa | es_ES |
dc.departamentoeu | Matematika | es_ES |
dc.departamentoeu | Neurozientziak | es_ES |
dc.departamentoeu | Matematika aplikatua eta estatistika | es_ES |
dc.subject.categoria | AGRICULTURAL AND BIOLOGICAL SCIENCES | |
dc.subject.categoria | MEDICINE | |
dc.subject.categoria | BIOCHEMISTRY AND MOLECULAR BIOLOGY | |