Quality assurance of metabolomics

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2015
Autor:innen
Bouhifd, Mounir
Beger, Richard
Flynn, Thomas
Guo, Lining
Harris, Georgina
Hogberg, Helena
Kaddurah-Daouk, Rima
Kamp, Hennicke
Kleensang, Andre
et al.
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Alternatives to Animal Experimentation : ALTEX. 2015, 32(4), pp. 319-326. ISSN 1868-596X. eISSN 1868-8551. Available under: doi: 10.14573/altex.1509161
Zusammenfassung

Metabolomics promises a holistic phenotypic characterization of biological responses to toxicants. This technology is based on advanced chemical analytical tools with reasonable throughput, including mass-spectroscopy and NMR. Quality assurance, however - from experimental design, sample preparation, metabolite identification, to bioinformatics data-mining - is urgently needed to assure both quality of metabolomics data and reproducibility of biological models. In contrast to microarray-based transcriptomics, where consensus on quality assurance and reporting standards has been fostered over the last two decades, quality assurance of metabolomics is only now emerging. Regulatory use in safety sciences, and even proper scientific use of these technologies, demand quality assurance. In an effort to promote this discussion, an expert workshop discussed the quality assurance needs of metabolomics. The goals for this workshop were 1) to consider the challenges associated with metabolomics as an emerging science, with an emphasis on its application in toxicology and 2) to identify the key issues to be addressed in order to establish and implement quality assurance procedures in metabolomics-based toxicology. Consensus has still to be achieved regarding best practices to make sure sound, useful, and relevant information is derived from these new tools.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
metabolomics, toxicometabolomics, quality assurance, human toxome
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ISO 690BOUHIFD, Mounir, Richard BEGER, Thomas FLYNN, Lining GUO, Georgina HARRIS, Helena HOGBERG, Rima KADDURAH-DAOUK, Hennicke KAMP, Andre KLEENSANG, Thomas HARTUNG, 2015. Quality assurance of metabolomics. In: Alternatives to Animal Experimentation : ALTEX. 2015, 32(4), pp. 319-326. ISSN 1868-596X. eISSN 1868-8551. Available under: doi: 10.14573/altex.1509161
BibTex
@article{Bouhifd2015Quali-33423,
  year={2015},
  doi={10.14573/altex.1509161},
  title={Quality assurance of metabolomics},
  number={4},
  volume={32},
  issn={1868-596X},
  journal={Alternatives to Animal Experimentation : ALTEX},
  pages={319--326},
  author={Bouhifd, Mounir and Beger, Richard and Flynn, Thomas and Guo, Lining and Harris, Georgina and Hogberg, Helena and Kaddurah-Daouk, Rima and Kamp, Hennicke and Kleensang, Andre and Hartung, Thomas}
}
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    <dcterms:abstract xml:lang="eng">Metabolomics promises a holistic phenotypic characterization of biological responses to toxicants. This technology is based on advanced chemical analytical tools with reasonable throughput, including mass-spectroscopy and NMR. Quality assurance, however - from experimental design, sample preparation, metabolite identification, to bioinformatics data-mining - is urgently needed to assure both quality of metabolomics data and reproducibility of biological models. In contrast to microarray-based transcriptomics, where consensus on quality assurance and reporting standards has been fostered over the last two decades, quality assurance of metabolomics is only now emerging. Regulatory use in safety sciences, and even proper scientific use of these technologies, demand quality assurance. In an effort to promote this discussion, an expert workshop discussed the quality assurance needs of metabolomics. The goals for this workshop were 1) to consider the challenges associated with metabolomics as an emerging science, with an emphasis on its application in toxicology and 2) to identify the key issues to be addressed in order to establish and implement quality assurance procedures in metabolomics-based toxicology. Consensus has still to be achieved regarding best practices to make sure sound, useful, and relevant information is derived from these new tools.</dcterms:abstract>
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