Literature DB >> 16257378

Metabolomics: from pattern recognition to biological interpretation.

Wolfram Weckwerth1, Katja Morgenthal.   

Abstract

Metabolomics is a technology that aims to identify and quantify the metabolome -- the dynamic set of all small molecules present in an organism or a biological sample. In this sense, the technique is distinct from metabolic profiling, which looks for target compounds and their biochemical transformation. The combination of both approaches is an emerging technique for the characterization of biological samples and for drug treatment. Metabolomics has proven to be very rapid and superior to any other post-genomics technology for pattern-recognition analyses of biological samples. Changing steady state concentrations and fluctuations of metabolites that occur within milliseconds are a result of biochemical processes such as signalling cascades: metabolomic techniques are instrumental in measuring these changes rapidly and sensitively. Metabolite data can be complemented by protein, transcript and external (environmental) data, thereby leading to the identification of multiple physiological biomarkers embedded in correlative molecular networks that are not approachable with targeted studies.

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Year:  2005        PMID: 16257378     DOI: 10.1016/S1359-6446(05)03609-3

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  64 in total

1.  Systems biology approach to imaging of neural stem cells.

Authors:  Li Hua Ma; Yao Li; Petar M Djurić; Mirjana Maletić-Savatić
Journal:  Methods Mol Biol       Date:  2011

2.  Shifts in the carbohydrate, polyol, and amino acid pools during rapid cold-hardening and diapause-associated cold-hardening in flesh flies (Sarcophaga crassipalpis): a metabolomic comparison.

Authors:  M Robert Michaud; David L Denlinger
Journal:  J Comp Physiol B       Date:  2007-06-19       Impact factor: 2.200

3.  Serum lipidomics in diagnostics of sarcoidosis.

Authors:  Beata Toczylowska; Dariusz Jastrzebski; Sabina Kostorz; Elzbieta Zieminska; Dariusz Ziora
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2018-04-28       Impact factor: 0.670

Review 4.  Closing the 'phenotype gap' in precision medicine: improving what we measure to understand complex disease mechanisms.

Authors:  Calum A MacRae
Journal:  Mamm Genome       Date:  2019-08-19       Impact factor: 2.957

5.  Using metabolomics to assess the sub-lethal effects of zinc and boscalid on an estuarine polychaete worm over time.

Authors:  Georgia M Sinclair; Allyson L O'Brien; Michael Keough; David P De Souza; Saravanan Dayalan; Komal Kanojia; Konstantinos Kouremenos; Dedreia L Tull; Rhys A Coleman; Oliver A H Jones; Sara M Long
Journal:  Metabolomics       Date:  2019-07-31       Impact factor: 4.290

6.  Metabolomics identifies changes in fatty acid and amino acid profiles in serum of overweight older adults following a weight loss intervention.

Authors:  A Perez-Cornago; L Brennan; I Ibero-Baraibar; H H M Hermsdorff; A O'Gorman; M A Zulet; J Alfredo Martínez
Journal:  J Physiol Biochem       Date:  2014-01-09       Impact factor: 4.158

7.  Sparse non-negative generalized PCA with applications to metabolomics.

Authors:  Genevera I Allen; Mirjana Maletić-Savatić
Journal:  Bioinformatics       Date:  2011-09-19       Impact factor: 6.937

8.  Phenotypic characterization of Shewanella oneidensis MR-1 under aerobic and anaerobic growth conditions by using fourier transform infrared spectroscopy and high-performance liquid chromatography analyses.

Authors:  Hui Wang; Katherine Hollywood; Roger M Jarvis; Jonathan R Lloyd; Royston Goodacre
Journal:  Appl Environ Microbiol       Date:  2010-07-30       Impact factor: 4.792

9.  Time-dependent profiling of metabolites from Snf1 mutant and wild type yeast cells.

Authors:  Elizabeth M Humston; Kenneth M Dombek; Jamin C Hoggard; Elton T Young; Robert E Synovec
Journal:  Anal Chem       Date:  2008-10-01       Impact factor: 6.986

10.  Metabolomic analysis of human disease and its application to the eye.

Authors:  Stephen P Young; Graham R Wallace
Journal:  J Ocul Biol Dis Infor       Date:  2009-11-13
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