The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Parallel analysis of transcript and metabolic profiles: a new approach in systems biology
Open accessAbstract
The past few years in the medical and biological sciences have been characterized by the advent of systems biology. However, despite the well‐known connectivity between the molecules described by transcriptomic, proteomic and metabolomic approaches, few studies have tried to correlate parameters across the various levels of systemic description. When comparing the discriminatory power of metabolic and RNA profiling to distinguish between different potato tuber systems, using the techniques described here suggests that metabolic profiling has a higher resolution than expression profiling. When applying pairwise transcript–metabolite correlation analyses, 571 of the 26,616 possible pairs showed significant correlation, most of which was novel and included several strong correlations to nutritionally important metabolites. We believe this approach to be of high potential value in the identification of candidate genes for modifying the metabolite content of biological systems.
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Cites
Analysis of the genome sequence of the flowering plant Arabidopsis thaliana
Initiative, T. A. G. (2000) · Nature · doi:10.1038/35048692 · Cited by 9,301
A N EW A PPROACH TO D ECODING L IFE : Systems Biology
Ideker, T., Galitski, T., & Hood, L. (2001) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.2.1.343 · Cited by 1,664
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Gut microorganisms, mammalian metabolism and personalized health care
Nicholson, J. K., Holmes, E., & Wilson, I. D. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1152 · Cited by 945
Metabolomics-assisted breeding: a viable option for crop improvement?
Fernie, A. R., & Schauer, N. (2009) · Trends in Genetics · doi:10.1016/j.tig.2008.10.010 · Cited by 550
Self-citationMetabolomics and systems biology: making sense of the soup
KELL, D. (2004) · Current Opinion in Microbiology · doi:10.1016/j.mib.2004.04.012 · Cited by 529
Decoding genes with coexpression networks and metabolomics – ‘majority report by precogs’
Saito, K., Hirai, M. Y., & Yonekura-Sakakibara, K. (2008) · Trends in Plant Science · doi:10.1016/j.tplants.2007.10.006 · Cited by 327
Metabolite annotations based on the integration of mass spectral information
Iijima, Y., Nakamura, Y., Ogata, Y., Tanaka, K., Sakurai, N., Suda, K., Suzuki, T., Suzuki, H., Okazaki, K., Kitayama, M., et al. (2008) · The Plant Journal · doi:10.1111/j.1365-313x.2008.03434.x · Cited by 283
Metadata
- Authors
- Urbanczyk‐Wochniak, E., Luedemann, A., Kopka, J., Selbig, J., Roessner‐Tunali, U., Willmitzer, L., & Fernie, A. R.
- Venue
- EMBO reports
- Published
- 2003-09-12
- Volume
- 4
- Issue
- 10
- Pages
- 989-993
- ISSN
- 1469-221X (ISSN-L)
- 1469-3178
- OpenAlex
- W2137591509
- Cited by
- 324
- References
- 2
- FWCI
- 8.04
- Type
- journal article
- Language
- en
- Open access
- green
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- Urbanczyk‐Wochniak, E., Luedemann, A., Kopka, J., Selbig, J., Roessner‐Tunali, U., Willmitzer, L., & Fernie, A. R. (2003). Parallel analysis of transcript and metabolic profiles: a new approach in systems biology. EMBO reports. https://doi.org/10.1038/sj.embor.embor944
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