The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Metabolomics activity screening for identifying metabolites that modulate phenotype
Open accessAbstract
Metabolomics, in which small-molecule metabolites (the metabolome) are identified and quantified, is broadly acknowledged to be the omics discipline that is closest to the phenotype. Although appreciated for its role in biomarker discovery programs, metabolomics can also be used to identify metabolites that could alter a cell's or an organism's phenotype. Metabolomics activity screening (MAS) as described here integrates metabolomics data with metabolic pathways and systems biology information, including proteomics and transcriptomics data, to produce a set of endogenous metabolites that can be tested for functionality in altering phenotypes. A growing literature reports the use of metabolites to modulate diverse processes, such as stem cell differentiation, oligodendrocyte maturation, insulin signaling, T-cell survival and macrophage immune responses. This opens up the possibility of identifying and applying metabolites to affect phenotypes. Unlike genes or proteins, metabolites are often readily available, which means that MAS is broadly amenable to high-throughput screening of virtually any biological system.
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Cites
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Self-citationMetabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites
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Rinschen, M. M., Ivanisevic, J., Giera, M., & Siuzdak, G. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0108-4 · Cited by 1,008
Self-citationRusso, S., Kwiatkowski, M., Govorukhina, N., Bischoff, R., & Melgert, B. N. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.746151 · Cited by 269
Metabolomics: A Way Forward for Crop Improvement
Razzaq, A., Sadia, B., Raza, A., Khalid Hameed, M., & Saleem, F. (2019) · Metabolites · doi:10.3390/metabo9120303 · Cited by 253
Bacterial Vaginosis: Current Diagnostic Avenues and Future Opportunities
Redelinghuys, M. J., Geldenhuys, J., Jung, H., & Kock, M. M. (2020) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2020.00354 · Cited by 167
Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis
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Metadata
- Authors
- Guijas, C., Montenegro-Burke, J. R., Warth, B., Spilker, M. E., & Siuzdak, G.
- Venue
- Nature Biotechnology
- Published
- 2018-04
- Volume
- 36
- Issue
- 4
- Pages
- 316-320
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2795425364
- Cited by
- 490
- References
- 42
- FWCI
- 10.83
- Type
- journal article
- Language
- en
- Open access
- green
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- Guijas, C., Montenegro-Burke, J. R., Warth, B., Spilker, M. E., & Siuzdak, G. (2018). Metabolomics activity screening for identifying metabolites that modulate phenotype. Nature Biotechnology. https://doi.org/10.1038/nbt.4101
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