Evidence map›Paper›PMID 20209156›Full record

ArticlePloS one2010

Global self-regulation of the cellular metabolic structure.

Ildefonso M De la Fuente, Fernando Vadillo, Alberto Luís Pérez-Samartín, Martín-Blas Pérez-Pinilla, Joseba Bidaurrazaga, Antonio Vera-López

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Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Elements of the cellular metabolic structure.Frontiers in molecular biosciences · 2015
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ildefonso M De la FuenteDepartment of Mathematics, University of the Basque Country, Vizcaya, Spain. mtpmadei@ehu.es
Fernando Vadillo
Alberto Luís Pérez-Samartín
Martín-Blas Pérez-Pinilla
Joseba Bidaurrazaga
Antonio Vera-López

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent 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

findingsIn 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.

Indexed as

Gene Expression RegulationMetabolic Networks and PathwaysAlgorithmsAllosteric SiteAnimalsBiochemical PhenomenaCatalysisCellsHumansModels, BiologicalModels, StatisticalNonlinear Dynamics

Identifiers

PMID20209156
PMCPMC2830472

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