Literature DB >> 11997342

Determination of redundancy and systems properties of the metabolic network of Helicobacter pylori using genome-scale extreme pathway analysis.

Nathan D Price1, Jason A Papin, Bernhard Ø Palsson.   

Abstract

The capabilities of genome-scale metabolic networks can be described through the determination of a set of systemically independent and unique flux maps called extreme pathways. The first study of genome-scale extreme pathways for the simultaneous formation of all nonessential amino acids or ribonucleotides in Helicobacter pylori is presented. Three key results were obtained. First, the extreme pathways for the production of individual amino acids in H. pylori showed far fewer internal states per external state than previously found in Haemophilus influenzae, indicating a more rigid metabolic network. Second, the degree of pathway redundancy in H. pylori was essentially the same for the production of individual amino acids and linked amino acid sets, but was approximately twice that of the production of the ribonucleotides. Third, the metabolic network of H. pylori was unable to achieve extensive conversion of amino acids consumed to the set of either nonessential amino acids or ribonucleotides and thus diverted a large portion of its nitrogen to ammonia production, a potentially important result for pH regulation in its acidic habitat. Genome-scale extreme pathways elucidate emergent system-wide properties. Extreme pathway analysis is emerging as a potentially important method to analyze the link between the metabolic genotype and its phenotypes.

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Year:  2002        PMID: 11997342      PMCID: PMC186586          DOI: 10.1101/gr.218002

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  29 in total

1.  Global properties of the metabolic map of Escherichia coli.

Authors:  C A Ouzounis; P D Karp
Journal:  Genome Res       Date:  2000-04       Impact factor: 9.043

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3.  The genome-scale metabolic extreme pathway structure in Haemophilus influenzae shows significant network redundancy.

Authors:  Jason A Papin; Nathan D Price; Jeremy S Edwards; Bernhard Ø Palsson B
Journal:  J Theor Biol       Date:  2002-03-07       Impact factor: 2.691

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Journal:  Nature       Date:  1997-08-07       Impact factor: 49.962

5.  Computer-aided synthesis of biochemical pathways.

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Journal:  Biotechnol Bioeng       Date:  1990-12-20       Impact factor: 4.530

6.  HinCyc: a knowledge base of the complete genome and metabolic pathways of H. influenzae.

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Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  1996

Review 7.  Helicobacter pylori infection, a paradigm for chronic mucosal inflammation: pathogenesis and implications for eradication and prevention.

Authors:  T L Cover; M J Blaser
Journal:  Adv Intern Med       Date:  1996

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Authors:  P Nedenskov
Journal:  Appl Environ Microbiol       Date:  1994-09       Impact factor: 4.792

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Authors:  P K Bardhan
Journal:  Clin Infect Dis       Date:  1997-11       Impact factor: 9.079

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Authors:  D J Kelly
Journal:  Adv Microb Physiol       Date:  1998       Impact factor: 3.517

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  36 in total

1.  Extreme pathway lengths and reaction participation in genome-scale metabolic networks.

Authors:  Jason A Papin; Nathan D Price; Bernhard Ø Palsson
Journal:  Genome Res       Date:  2002-12       Impact factor: 9.043

2.  Flux coupling analysis of genome-scale metabolic network reconstructions.

Authors:  Anthony P Burgard; Evgeni V Nikolaev; Christophe H Schilling; Costas D Maranas
Journal:  Genome Res       Date:  2004-01-12       Impact factor: 9.043

3.  Analysis of metabolic capabilities using singular value decomposition of extreme pathway matrices.

Authors:  Nathan D Price; Jennifer L Reed; Jason A Papin; Iman Famili; Bernhard O Palsson
Journal:  Biophys J       Date:  2003-02       Impact factor: 4.033

4.  Genome-scale metabolic model of Helicobacter pylori 26695.

Authors:  Christophe H Schilling; Markus W Covert; Iman Famili; George M Church; Jeremy S Edwards; Bernhard O Palsson
Journal:  J Bacteriol       Date:  2002-08       Impact factor: 3.490

5.  The JAK-STAT signaling network in the human B-cell: an extreme signaling pathway analysis.

Authors:  Jason A Papin; Bernhard O Palsson
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

6.  Superessential reactions in metabolic networks.

Authors:  Aditya Barve; João Frederico Matias Rodrigues; Andreas Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-16       Impact factor: 11.205

Review 7.  Biochemical and statistical network models for systems biology.

Authors:  Nathan D Price; Ilya Shmulevich
Journal:  Curr Opin Biotechnol       Date:  2007-08-03       Impact factor: 9.740

8.  Network-level analysis of metabolic regulation in the human red blood cell using random sampling and singular value decomposition.

Authors:  Christian L Barrett; Nathan D Price; Bernhard O Palsson
Journal:  BMC Bioinformatics       Date:  2006-03-13       Impact factor: 3.169

9.  Evolutionary constraints permeate large metabolic networks.

Authors:  Andreas Wagner
Journal:  BMC Evol Biol       Date:  2009-09-11       Impact factor: 3.260

Review 10.  Applications of genome-scale metabolic reconstructions.

Authors:  Matthew A Oberhardt; Bernhard Ø Palsson; Jason A Papin
Journal:  Mol Syst Biol       Date:  2009-11-03       Impact factor: 11.429

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