Phenomics
Phenomics is the study of phenomes — the physical and biochemical traits of organisms — as they change in response to genetic mutation and environmental influences. It is used in functional genomics, pharmaceutical research and metabolic engineering.
RNA interference may be used to generate large numbers of random mutations in organisms such as nematode worms. The resulting phenotypes of the creatures are then analysed. The large volumes of data generated by such work may be stored in a specialised database such as PhenomicDB.[1]
Metabolic flows may be directly studied using technologies such as gas chromatography, nuclear magnetic resonance and mass spectrometry with matrix-assisted laser desorption/ionization (MALDI).[2]
Selected publications
Highly cited publications concerning phenomics[3] include:
- Schilling, C.H.; Edwards, J.S.; Palsson, B.O. (1999), "Toward metabolic phenomics: analysis of genomic data using flux balances", Biotechnology Progress, 15 (3): 288–295, doi:10.1021/bp9900357.
- Gerlai, R. (2002), "Phenomics: fiction or the future?", Trends in Neurosciences, 25 (10): 506–509, doi:10.1016/S0166-2236(02)02250-6.
- Freimer, N.; Sabatti, C. (2003), "The human phenome project", Nature Genetics, 34 (1), Nature Publishing Group: 15–21, doi:10.1038/ng0503-15.
- Warringer, J.; Ericson, E.; Fernandez, L.; Nerman, O.; Blomberg, A. (2003), "High-resolution yeast phenomics resolves different physiological features in the saline response", Proceedings of the National Academy of Sciences of the United States of America, 100 (26): 15724–15729, doi:10.1073/pnas.2435976100.
- Zbuk, K.M.; Eng, C. (2006), "Cancer phenomics: RET and PTEN as illustrative models", Nature Reviews Cancer, 7 (1): 35–45, doi:10.1038/nrc2037.
Further reading
- Houle, D.; Govindaraju, D.R.; Omholt, S. (2010), "Phenomics: the next challenge", Nature Reviews Genetics, 11 (12): 855–66, doi:10.1038/nrg2897
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References
- ^ Paul M. Selzer, Richard J. Marhöfer, Andreas Rohwer, "Systems Biology: The Functional Analysis of Genomes", Applied bioinformatics
{{citation}}: CS1 maint: multiple names: authors list (link) - ^ Uwe Sauer (February 2004), "High-throughput phenomics: experimental methods for mapping fluxomes", Current Opinion in Biotechnology, 15 (1): 58–63, doi:10.1016/j.copbio.2003.11.001, ISSN 0958-1669
- ^ According to a Google scholar search performed 2010-05-01.
External links
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