By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Investigators publish new report on Metabolism. According to news reporting originating in San Sebastian, Spain, by VerticalNews journalists, research stated, "The analysis of high-throughput molecular data in the context of metabolic pathways is essential to uncover their underlying functional structure. Among different metabolic pathway concepts in systems biology, elementary flux modes (EFMs) hold a predominant place, as they naturally capture the complexity and plasticity of cellular metabolism and go beyond predefined metabolic maps."
The news reporters obtained a quote from the research from the University of Navarra, "However, their use to interpret high-throughput data has been limited so far, mainly because their computation in genome-scale metabolic networks has been unfeasible. To face this issue, different optimization-based techniques have been recently introduced and their application to human metabolism is promising. In this article, we exploit and generalize the K-shortest EFM algorithm to determine a subset of EFMs in a human genome-scale metabolic network. This subset of EFMs involves a wide number of reported human metabolic pathways, as well as potential novel routes, and constitutes a valuable database where high-throughput data can be mapped and contextualized from a metabolic perspective. To illustrate this, we took expression data of 10 healthy human tissues from a previous study and predicted their characteristic EFMs based on enrichment analysis. We used a multivariate hypergeometric test and showed that it leads to more biologically meaningful results than standard hypergeometric."
According to the news reporters, the research concluded: "Finally, a biological discussion on the characteristic EFMs obtained in liver is conducted, finding a high level of agreement when compared with the literature."
For more information on this research see: Selection of human tissue-specific elementary flux modes using gene expression data. Bioinformatics, 2013;29(16):2009-16. Bioinformatics can be contacted at: Oxford Univ Press, Great Clarendon St, Oxford OX2 6DP, England. (Oxford University Press - www.oup.com/; Bioinformatics - bioinformatics.oxfordjournals.org)
Our news correspondents report that additional information may be obtained by contacting A. Rezola, Biomedical Engineering Department, CEIT and Tecnun, University of Navarra, San Sebastian, Spain. Additional authors for this research include J. Pey, L.F. de Figueiredo, A. Podhorski, S. Schuster, A. Rubio and F.J Planes.
The publisher of the journal Bioinformatics can be contacted at: Oxford Univ Press, Great Clarendon St, Oxford OX2 6DP, England.
Keywords for this news article include: Spain, Europe, Metabolism, San Sebastian.
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