ArticleMetabolites2012
Systematic applications of metabolomics in metabolic engineering.
Article in Metabolites, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Nutritional Quality Fingerprinting of Wild and FarmedBiology · 2025Article
- Biomarker enrichment medium: A defined medium for metabolomic analysis of microbial pathogens.Frontiers in microbiology · 2022Article
- NS-kNN: a modified k-nearest neighbors approach for imputing metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2018Article
- Time-Dependent Lactate Production and Amino Acid Utilization in Cultured Astrocytes Under High Glucose Exposure.Molecular neurobiology · 2018Article
- Metabolomics Analysis of the Toxic Effects of the Production of Lycopene and Its Precursors.Frontiers in microbiology · 2018Article
- MINEs: open access databases of computationally predicted enzyme promiscuity products for untargeted metabolomics.Journal of cheminformatics · 2015Article
- Metabolomics, Standards, and Metabolic Modeling for Synthetic Biology in Plants.Frontiers in bioengineering and biotechnology · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The goals of metabolic engineering are well-served by the biological information provided by metabolomics: information on how the cell is currently using its biochemical resources is perhaps one of the best ways to inform strategies to engineer a cell to produce a target compound. Using the analysis of extracellular or intracellular levels of the target compound (or a few closely related molecules) to drive metabolic engineering is quite common. However, there is surprisingly little systematic use of metabolomics datasets, which simultaneously measure hundreds of metabolites rather than just a few, for that same purpose. Here, we review the most common systematic approaches to integrating metabolite data with metabolic engineering, with emphasis on existing efforts to use whole-metabolome datasets. We then review some of the most common approaches for computational modeling of cell-wide metabolism, including constraint-based models, and discuss current computational approaches that explicitly use metabolomics data. We conclude with discussion of the broader potential of computational approaches that systematically use metabolomics data to drive metabolic engineering.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.