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Standard reporting requirements for biological samples in metabolomics experiments: environmental context
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  • 作者:Norman Morrison (1) (2)
    Dan Bearden (3)
    Jacob G. Bundy (5)
    Tim Collette (6)
    Felicity Currie (7)
    Matthew P. Davey (8)
    Nathan S. Haigh (8)
    David Hancock (1) (2)
    Oliver A. H. Jones (9)
    Simone Rochfort (10)
    Susanna-Assunta Sansone (11)
    Dalibor ?tys (12) (13)
    Quincy Teng (6)
    Dawn Field (2)
    Mark R. Viant (14)
  • 关键词:Metabolomics ; Standard ; Environmental ; Reporting Requirements ; Minimum
  • 刊名:Metabolomics
  • 出版年:2007
  • 出版时间:September 2007
  • 年:2007
  • 卷:3
  • 期:3
  • 页码:203-210
  • 全文大小:163KB
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    2. Bollard, M. E., Holmes, E., Lindon, J. C., Mitchell, S. C., Branstetter, D., Zhang, W., & Nicholson, J. K. (2001) Investigations into biochemical changes due to diurnal variation and estrus cycle in female rats using high-resolution (1)H NMR spectroscopy of urine and pattern recognition. / Analytical Biochemistry, 295, 194-02. CrossRef
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    8. Hannah, M. A., Wiese, D., Freund, S., Fiehn, O., Heyer, A. G., & Hincha, D. K. (2006) Natural genetic variation of freezing tolerance in Arabidopsis. / Plant Physiology, 142, 98-12. CrossRef
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    16. Sansone, S. A., Rocca-Serra, P., Tong, W., Fostel, J., Morrison, N., & Jones, A. R. (2006) A strategy capitalizing on synergies: The Reporting Structure for Biological Investigation (RSBI) working group. / Omics, 10, 164-71. CrossRef
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  • 作者单位:Norman Morrison (1) (2)
    Dan Bearden (3)
    Jacob G. Bundy (5)
    Tim Collette (6)
    Felicity Currie (7)
    Matthew P. Davey (8)
    Nathan S. Haigh (8)
    David Hancock (1) (2)
    Oliver A. H. Jones (9)
    Simone Rochfort (10)
    Susanna-Assunta Sansone (11)
    Dalibor ?tys (12) (13)
    Quincy Teng (6)
    Dawn Field (2)
    Mark R. Viant (14)

    1. School of Computer Science, Kilburn Building, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
    2. NERC Environmental Bioinformatics Centre, Oxford Centre for Ecology and Hydrology, Oxford, OX1 3SR, UK
    3. Hollings Marine Laboratory, NOAA National Ocean Service, 331 Ft. Johnson Road, Charleston, SC, 29412, USA
    5. Biomolecular Medicine, Division of Surgery, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, Exhibition Road, South Kensington, London, SW7 2AZ, UK
    6. National Exposure Research Laboratory, US Environmental Protection Agency, 960 College Station Road, Athens, GA, 30605, USA
    7. Manchester Interdisciplinary Biocentre and School of Chemistry, University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK
    8. Animal and Plant Sciences, Western Bank, University of Sheffield, Sheffield, UK
    9. Department of Biochemistry, University of Cambridge, The Hopkins Building, Tennis Court Road, Cambridge, CB2 1QW, UK
    10. Department of Primary Industries, Primary Industries Research Victoria, Werribee Centre, 621 Sneydes Rd, Werribee, VIC, 3030, Australia
    11. The European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
    12. Institute of Physical Biology, University of South Bohemia, Zamek 136, Nove Hrady, 373 33, Czech Republic
    13. Institute of Systems Biology and Ecology, Academy of Science of the Czech Republic, Zamek 136, Nove Hrady, 373 33, Czech Republic
    14. School of Biosciences, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
  • ISSN:1573-3890
文摘
Metabolomic technologies are increasingly being applied to study biological questions in a range of different settings from clinical through to environmental. As with other high-throughput technologies, such as those used in transcriptomics and proteomics, metabolomics continues to generate large volumes of complex data that necessitates computational management. Making sense of this wealth of information also requires access to sufficiently detailed and well annotated meta-data. Here we provide standard reporting requirements for describing biological samples, taken from an environmental context and involved in metabolomic experiments. It is our intention that these reporting requirements should guide and support the standardised annotation, dissemination and interpretation of environmental metabolomics meta-data.

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