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dc.contributor.authorMartínez de la Fuente Martínez, Ildefonso Abel
dc.contributor.authorVadillo Arroyo, Fernando
dc.contributor.authorPérez Samartín, Alberto Luis
dc.contributor.authorPérez Pinilla, Martín Blas
dc.contributor.authorBidaurrazaga Van Dierdonck, Joseba
dc.contributor.authorVera López, Antonio
dc.date.accessioned2011-06-06T17:54:30Z
dc.date.available2011-06-06T17:54:30Z
dc.date.issued2010-03-02
dc.identifier.citationPLoS ONE 5(3) : (2010) // e9484es
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10810/2734
dc.description15 p.es
dc.description.abstractBackground: 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.sponsorshipThis 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.isoenges
dc.publisherPublic Library of Sciencees
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectlong range correlationses
dc.subjectpancreatic beta-celles
dc.subjecttobacco by 2 cellses
dc.subjecttime serieses
dc.subjectsaccharomyces cerevisiaees
dc.subjectglycolytic oscillationses
dc.subjectbiochemical systemes
dc.subjectin-vivoes
dc.subjectautonomous oscillationses
dc.subjectdissipative structureses
dc.titleGlobal Self-Regulation of the Cellular Metabolic Structurees
dc.typeinfo:eu-repo/semantics/articlees
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.publisherversionhttp://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0009484es
dc.identifier.doi10.1371/journal.pone.0009484
dc.departamentoesMatemáticases_ES
dc.departamentoesNeurocienciases_ES
dc.departamentoesMatemática Aplicada, Estadística e Investigación Operativaes_ES
dc.departamentoeuMatematikaes_ES
dc.departamentoeuNeurozientziakes_ES
dc.departamentoeuMatematika aplikatua eta estatistikaes_ES
dc.subject.categoriaAGRICULTURAL AND BIOLOGICAL SCIENCES
dc.subject.categoriaMEDICINE
dc.subject.categoriaBIOCHEMISTRY AND MOLECULAR BIOLOGY


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