A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations
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Summary
It is demonstrated how the intracellular concentrations of metabolites can reveal phenotypes for proteins active in metabolic regulation, and this approach to functional analysis, using comparative metabolomics, is called FANCY—an abbreviation for functional analysis by co-responses in yeast.
- Type
- article
- Published
- 2001-01-01
- Cited by
- 1,020
- References
- 53
- OpenAlex
- https://openalex.org/W1914762032
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:262007329
Keywords
Metabolome, Phenotype, Genomics, Biology, Functional genomics
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Cited by
- Functional genomics: lessons from yeast.
- Genome-Wide Screening of Saccharomyces cerevisiae To Identify Genes Required for Antibiotic Insusceptibility of Eukaryotes
- Global metabolite analysis: the influence of extraction methodology on metabolome profiles of Escherichia coli.
- Systems biology may work when we learn to understand the parts in terms of the whole.
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- Nested effects models for high-dimensional phenotyping screens
- Metabolomics data analysis, visualization, and integration.
- Time-resolved metabolomics reveals metabolic modulation in rice foliage
- Advances in rice breeding, genetics and genomics
- The integrated response of primary metabolites to gene deletions and the environment.
- A systems biology approach sheds new light on the regulation of acid adaptation in Escherichia coli BW25113 and MG1655 strains
- Metabolic Profiling of Retrograde Pathway Transcription Factors Rtg1 and Rtg3 Knockout Yeast
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- Chemometric applications in Nuclear Magnetic Resonance metabonomics
- Development of Fourier Transform Mid-Infrared Spectroscopy as a Metabolomic Technique for Characterizing the Protective Properties of Grain Sorghum Against Oxidation
- Urinary metabolomics in newborns and infants.
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