Literature DB >> 15196499

Metabolomics and systems biology: making sense of the soup.

Douglas B Kell1.   

Abstract

Novel techniques for acquiring metabolomics data continue to emerge. Such data require proper storage in suitably configured databases, which then permit one to establish the size of microbial metabolomes (hundreds of major metabolites) and allow the nature, organisation and control of metabolic networks to be investigated. A variety of algorithms for metabolic network reconstruction coupled to suitable modelling algorithms are the ground substances for the development of metabolic network and systems biology. Even qualitative models of metabolic networks, when subject to stoichiometric constraints, can prove highly informative, and are the first step to the quantitative models, which alone can allow the true representation of complex biochemical systems.

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Year:  2004        PMID: 15196499     DOI: 10.1016/j.mib.2004.04.012

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  111 in total

1.  Use of optimized 1D TOCSY NMR for improved quantitation and metabolomic analysis of biofluids.

Authors:  Peter Sandusky; Emmanuel Appiah-Amponsah; Daniel Raftery
Journal:  J Biomol NMR       Date:  2011-03-10       Impact factor: 2.835

2.  Metabolic engineering of bacteria.

Authors:  Ravi R Kumar; Satish Prasad
Journal:  Indian J Microbiol       Date:  2011-03-30       Impact factor: 2.461

Review 3.  A network perspective on metabolism and aging.

Authors:  Quinlyn A Soltow; Dean P Jones; Daniel E L Promislow
Journal:  Integr Comp Biol       Date:  2010-07-12       Impact factor: 3.326

4.  Metabolomic changes in autopsy-confirmed Alzheimer's disease.

Authors:  Rima Kaddurah-Daouk; Steve Rozen; Wayne Matson; Xianlin Han; Christine M Hulette; James R Burke; P Murali Doraiswamy; Kathleen A Welsh-Bohmer
Journal:  Alzheimers Dement       Date:  2010-11-13       Impact factor: 21.566

5.  Automated refinement and inference of analytical models for metabolic networks.

Authors:  Michael D Schmidt; Ravishankar R Vallabhajosyula; Jerry W Jenkins; Jonathan E Hood; Abhishek S Soni; John P Wikswo; Hod Lipson
Journal:  Phys Biol       Date:  2011-08-10       Impact factor: 2.583

Review 6.  The utility of metabolomics in natural product and biomarker characterization.

Authors:  Daniel G Cox; Joonseok Oh; Adam Keasling; Kim L Colson; Mark T Hamann
Journal:  Biochim Biophys Acta       Date:  2014-08-20

7.  Pathway-oriented profiling of lipid mediators in macrophages.

Authors:  Yoshihiro Kita; Toshie Takahashi; Naonori Uozumi; Laxman Nallan; Michael H Gelb; Takao Shimizu
Journal:  Biochem Biophys Res Commun       Date:  2005-05-13       Impact factor: 3.575

8.  Structural kinetic modeling of metabolic networks.

Authors:  Ralf Steuer; Thilo Gross; Joachim Selbig; Bernd Blasius
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-31       Impact factor: 11.205

9.  Chemoselective 15N tag for sensitive and high-resolution nuclear magnetic resonance profiling of the carboxyl-containing metabolome.

Authors:  Tao Ye; Huaping Mo; Narasimhamurthy Shanaiah; G A Nagana Gowda; Shucha Zhang; Daniel Raftery
Journal:  Anal Chem       Date:  2009-06-15       Impact factor: 6.986

Review 10.  Progress toward single cell metabolomics.

Authors:  Stanislav S Rubakhin; Eric J Lanni; Jonathan V Sweedler
Journal:  Curr Opin Biotechnol       Date:  2012-12-13       Impact factor: 9.740

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