Literature DB >> 16901221

Establishing reporting standards for metabolomic and metabonomic studies: a call for participation.

Oliver Fiehn1, Bruce Kristal, Ben van Ommen, Lloyd W Sumner, Susanna-Assunta Sansone, Chris Taylor, Nigel Hardy, Rima Kaddurah-Daouk.   

Abstract

Metabolite concentrations in cellular systems are very much dependent on the physiological, environmental, and genetic status of an organism and are regarded as the ultimate result of cellular regulation, resulting in the visible phenotypes. Therefore, the comprehensive analysis of metabolite levels and fluxes renders a suitable tool for assessing the degree of perturbation in biological systems. Lessons derived from development of other OMICS areas (genomics, proteomics, and transcriptomics) have shown that large-scale comparisons and interpretations will require the re-use of data over long periods of time and by multiple laboratories with different expertise and backgrounds. Reaching this goal will require standardization of reporting structures of metabolomic studies for journal publication purposes, for regulatory deposition, and for database dissemination. An initiative by the Metabolomics Society is presented that aims to define important aspects of metabolomic workflows. These include biological study designs, chemical analysis, and data processing, as well as the ontologies that are necessary in this framework.

Mesh:

Year:  2006        PMID: 16901221     DOI: 10.1089/omi.2006.10.158

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  29 in total

Review 1.  Standardization and omics science: technical and social dimensions are inseparable and demand symmetrical study.

Authors:  Christina Holmes; Fiona McDonald; Mavis Jones; Vural Ozdemir; Janice E Graham
Journal:  OMICS       Date:  2010-06

Review 2.  Development of FuGO: an ontology for functional genomics investigations.

Authors:  Patricia L Whetzel; Ryan R Brinkman; Helen C Causton; Liju Fan; Dawn Field; Jennifer Fostel; Gilberto Fragoso; Tanya Gray; Mervi Heiskanen; Tina Hernandez-Boussard; Norman Morrison; Helen Parkinson; Philippe Rocca-Serra; Susanna-Assunta Sansone; Daniel Schober; Barry Smith; Robert Stevens; Christian J Stoeckert; Chris Taylor; Joe White; Andrew Wood
Journal:  OMICS       Date:  2006

Review 3.  Database resources in metabolomics: an overview.

Authors:  Eden P Go
Journal:  J Neuroimmune Pharmacol       Date:  2009-05-07       Impact factor: 4.147

4.  The future of liquid chromatography-mass spectrometry (LC-MS) in metabolic profiling and metabolomic studies for biomarker discovery.

Authors:  Thomas O Metz; Qibin Zhang; Jason S Page; Yufeng Shen; Stephen J Callister; Jon M Jacobs; Richard D Smith
Journal:  Biomark Med       Date:  2007-06       Impact factor: 2.851

5.  The challenges for molecular nutrition research 2: quantification of the nutritional phenotype.

Authors:  Ben van Ommen; Jaap Keijer; Robert Kleemann; Ruan Elliott; Christian A Drevon; Harry McArdle; Mike Gibney; Michael Müller
Journal:  Genes Nutr       Date:  2008-06-25       Impact factor: 5.523

Review 6.  Review of mass spectrometry-based metabolomics in cancer research.

Authors:  David B Liesenfeld; Nina Habermann; Robert W Owen; Augustin Scalbert; Cornelia M Ulrich
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-04       Impact factor: 4.254

Review 7.  Metabolomics, pathway regulation, and pathway discovery.

Authors:  Guo-Fang Zhang; Sushabhan Sadhukhan; Gregory P Tochtrop; Henri Brunengraber
Journal:  J Biol Chem       Date:  2011-05-12       Impact factor: 5.157

8.  The ABRF Metabolomics Research Group 2013 Study: Investigation of Spiked Compound Differences in a Human Plasma Matrix.

Authors:  Amrita K Cheema; John M Asara; Yiwen Wang; Thomas A Neubert; Vladimir Tolstikov; Chris W Turck
Journal:  J Biomol Tech       Date:  2015-09

9.  Flux profiling of photosynthetic carbon metabolism in intact plants.

Authors:  Robert Heise; Stéphanie Arrivault; Marek Szecowka; Takayuki Tohge; Adriano Nunes-Nesi; Mark Stitt; Zoran Nikoloski; Alisdair R Fernie
Journal:  Nat Protoc       Date:  2014-07-03       Impact factor: 13.491

10.  Biomarker discovery in animal health and disease: the application of post-genomic technologies.

Authors:  Rowan E Moore; Jennifer Kirwan; Mary K Doherty; Phillip D Whitfield
Journal:  Biomark Insights       Date:  2007-07-10
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