The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Defining the Metabolome: Size, Flux, and Regulation
Open accessAbstract
Renewed interest in metabolic research over the last two decades has inspired an explosion of technological developments for studying metabolism. At the forefront of methodological innovation is an approach referred to as "untargeted" or "discovery" metabolomics. The experimental objective of this technique is to comprehensively measure the entire metabolome, which constitutes a largely undefined set of molecules. Given its potential comprehensive coverage, untargeted metabolomics is often the first choice of experiments for investigators pursuing a metabolic research question. It is important to recognize, however, that untargeted metabolomics may not always be the optimal experimental approach. Conventionally, untargeted metabolomics only provides information about relative differences in metabolite pool sizes. Therefore, depending on the specific scientific question at hand, a complementary approach involving stable isotopes (such as metabolic flux analysis) may be better suited to provide biological insights. Unlike untargeted metabolomics, stable-isotope methods can provide information about differences in reaction rates.
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Citations
Cites
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Cited by
Metabolomics: beyond biomarkers and towards mechanisms
Johnson, C. H., Ivanisevic, J., & Siuzdak, G. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.25 · Cited by 2,829
L-Arginine Modulates T Cell Metabolism and Enhances Survival and Anti-tumor Activity
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Self-citationMetabolomics enables precision medicine: “A White Paper, Community Perspective”
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Gut Microbiota Profiling: Metabolomics Based Approach to Unravel Compounds Affecting Human Health
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Metadata
- Authors
- Zamboni, N., Saghatelian, A., & Patti, G. J.
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 58
- Issue
- 4
- Pages
- 699-706
- ISSN
- 1097-2765 (ISSN-L)
- OpenAlex
- W1480100581
- Cited by
- 300
- References
- 12
- FWCI
- 12.87
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.