The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Analytical Strategies in Metabonomics
Abstract
To perform metabonomics investigations, it is necessary to generate comprehensive metabolite profiles for complex samples such as biofluids and tissue/tissue extracts. Analytical technologies that can be used to achieve this aim are constantly evolving, and new developments are changing the way in which such profiles' metabolite profiles can be generated. Here, the utility of various analytical techniques for global metabolite profiling, such as, e.g., 1 H NMR, MS, HPLC-MS, and GC-MS, are explored and compared. Keywords: global metabolite profiling • metabotyping • metabonomics • metabolomics • spectroscopic analysis • separations • hyphenation
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Citations
Cites
Gut microorganisms, mammalian metabolism and personalized health care
Nicholson, J. K., Holmes, E., & Wilson, I. D. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1152 · Cited by 945
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LC-MS-based methodology for global metabolite profiling in metabonomics/metabolomics
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Zeki, Ö. C., Eylem, C. C., Reçber, T., Kır, S., & Nemutlu, E. (2020) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2020.113509 · Cited by 336
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Self-citationThe Potential Role of Metabolomics in Drug-Induced Liver Injury (DILI) Assessment
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Metabolomic Biomarkers in Mental Disorders: Bipolar Disorder and Schizophrenia
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Metadata
- Authors
- Lenz, E. M., & Wilson, I. D.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-12-13
- Volume
- 6
- Issue
- 2
- Pages
- 443-458
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W1978461542
- Cited by
- 530
- References
- 1
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- closed
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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.