The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Process for the integrated extraction, identification and quantification of metabolites, proteins and RNA to reveal their co‐regulation in biochemical networks
Abstract
A novel extraction protocol is described with which metabolites, proteins and RNA are sequentially extracted from the same sample, thereby providing a convenient procedure for the analysis of replicates as well as exploiting the inherent biological variation of independent samples for multivariate data analysis. A detection of 652 metabolites, 297 proteins and clear RNA bands in a single Arabidopsis thaliana leaf sample was validated by analysis with gas chromatography coupled to a time of flight mass spectrometer for metabolites, two‐dimensional liquid chromatography coupled to mass spectrometry for proteins, and Northern blot analysis for RNA. A subset of the most abundant proteins and metabolites from replicate analysis of different Arabidopsis accessions was merged to form an integrative dataset allowing both classification of different genotypes and the unbiased analysis of the hierarchical organization of proteins and metabolites within a real biochemical network.
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Cites
Hierarchical Organization of Modularity in Metabolic Networks
Ravasz, E., Somera, A. L., Mongru, D. A., Oltvai, Z. N., & Barabási, A.-L. (2002) · Science · doi:10.1126/science.1073374 · Cited by 4,224
Metabolic network structure determines key aspects of functionality and regulation
Stelling, J., Klamt, S., Bettenbrock, K., Schuster, S., & Gilles, E. D. (2002) · Nature · doi:10.1038/nature01166 · Cited by 802
Cited by
Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives
Koek, M. M., Jellema, R. H., van der Greef, J., Tas, A. C., & Hankemeier, T. (2011) · Metabolomics · doi:10.1007/s11306-010-0254-3 · Cited by 353
Elgendy, M., Cirò, M., Hosseini, A., Weiszmann, J., Mazzarella, L., Ferrari, E., Cazzoli, R., Curigliano, G., DeCensi, A., Bonanni, B., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.03.007 · Cited by 299
Self-citationWilson, J. L., Nägele, T., Linke, M., Demel, F., Fritsch, S. D., Mayr, H. K., Cai, Z., Katholnig, K., Sun, X., Fragner, L., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.01.011 · Cited by 97
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Metadata
- Authors
- Weckwerth, W., Wenzel, K., & Fiehn, O.
- Venue
- PROTEOMICS
- Publisher
- Wiley
- Published
- 2004-01
- Volume
- 4
- Issue
- 1
- Pages
- 78-83
- ISSN
- 1615-9853 (ISSN-L)
- 1615-9861
- OpenAlex
- W2060811342
- Cited by
- 425
- References
- 2
- FWCI
- 12.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Weckwerth, W., Wenzel, K., & Fiehn, O. (2004). Process for the integrated extraction, identification and quantification of metabolites, proteins and RNA to reveal their co‐regulation in biochemical networks. PROTEOMICS. https://doi.org/10.1002/pmic.200200500
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
