The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives
Open accessAbstract
Metabolomics involves the unbiased quantitative and qualitative analysis of the complete set of metabolites present in cells, body fluids and tissues (the metabolome). By analyzing differences between metabolomes using biostatistics (multivariate data analysis; pattern recognition), metabolites relevant to a specific phenotypic characteristic can be identified. However, the reliability of the analytical data is a prerequisite for correct biological interpretation in metabolomics analysis. In this review the challenges in quantitative metabolomics analysis with regards to analytical as well as data preprocessing steps are discussed. Recommendations are given on how to optimize and validate comprehensive silylation-based methods from sample extraction and derivatization up to data preprocessing and how to perform quality control during metabolomics studies. The current state of method validation and data preprocessing methods used in published literature are discussed and a perspective on the future research necessary to obtain accurate quantitative data from comprehensive GC-MS data is provided.
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Cites
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HMDB: the Human Metabolome Database
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Metabolomics — the link between genotypes and phenotypes
Fiehn, O. (2002) · Functional Genomics · doi:10.1007/978-94-010-0448-0_11 · Cited by 3,167
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Cited by
Colletotrichum: lifestyles, biology, morpho-species, species complexes and accepted species
Jayawardena, R. (2021) · Mycosphere · doi:10.5943/mycosphere/12/1/7 · Cited by 208
Draper, J., Lloyd, A. J., Goodacre, R., & Beckmann, M. (2013) · Metabolomics · doi:10.1007/s11306-012-0449-x · Cited by 144
A practical data processing workflow for multi-OMICS projects
Kohl, M., Megger, D. A., Trippler, M., Meckel, H., Ahrens, M., Bracht, T., Weber, F., Hoffmann, A.-C., Baba, H. A., Sitek, B., et al. (2014) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2013.02.029 · Cited by 60
Metadata
- Authors
- Koek, M. M., Jellema, R. H., van der Greef, J., Tas, A. C., & Hankemeier, T.
- Venue
- Metabolomics
- Published
- 2010-11-16
- Volume
- 7
- Issue
- 3
- Pages
- 307-328
- ISSN
- 1573-3882 (ISSN-L)
- 1573-3890
- OpenAlex
- W2067408251
- Cited by
- 353
- References
- 97
- FWCI
- 7.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Koek, M. M., Jellema, R. H., van der Greef, J., Tas, A. C., & Hankemeier, T. (2011). Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives. Metabolomics. https://doi.org/10.1007/s11306-010-0254-3
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
