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Cited by 300

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 access
Zamboni, Nicola, Saghatelian, Alan, Patti, Gary J.·2015·Molecular Cell

Abstract

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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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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CoChat. (2026). Citation check: Defining the Metabolome: Size, Flux, and Regulation. https://app.cochat.ai/papers/10.1016/j.molcel.2015.04.021
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Zamboni, N., Saghatelian, A., & Patti, G. J. (2015). Defining the Metabolome: Size, Flux, and Regulation. Molecular Cell. https://doi.org/10.1016/j.molcel.2015.04.021

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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.