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groups:steuer:research [2016/09/28 13:30] – steuer | groups:steuer:research [2017/08/12 13:39] – [Understanding Phototrophic Growth] steuer | ||
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- | **[[groups/ | + | ~~NOTOC~~ |
- | **[[groups/ | + | |
- | **[[groups/ | + | |
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====== Main Research Themes ====== | ====== Main Research Themes ====== | ||
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We are interested in the organization and functioning of cyanobacterial metabolism. | We are interested in the organization and functioning of cyanobacterial metabolism. | ||
Key research questions include the stoichiometric reconstruction of cyanobacterial metabolism, its comparison across different strains, the coordination of cyanobacterial metabolism in dynamic environments, | Key research questions include the stoichiometric reconstruction of cyanobacterial metabolism, its comparison across different strains, the coordination of cyanobacterial metabolism in dynamic environments, | ||
+ | We are interested in fast growth of cyanobacteria and investigate the limits of phototrophic growth using computational methods. | ||
**Further reading: | **Further reading: | ||
- | * H. Knoop, M. Gruendel, Y. Zilliges, R. Lehmann, S. Hoffmann, W. Lockau, R. Steuer. | + | * Westermark S and Steuer R (2016) **[[http:// |
- | * R. Steuer, H. Knoop, R. Machne | + | * Reimers AM, Knoop H, Bockmayr A, Steuer |
+ | * H. Knoop, M. Gruendel, Y. Zilliges, | ||
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==== Cyanobacterial Biotechnology ==== | ==== Cyanobacterial Biotechnology ==== | ||
{{groups/ | {{groups/ | ||
- | Cyanobacteria have attracted growing attention as potential host organisms for the production of valuable organic products. | + | Cyanobacteria have attracted growing attention as potential host organisms for the production of valuable organic products. |
- | Our targets | + | Past target products |
- | High-quality reconstructions of cyanobacterial metabolism are used to guide and support experimental efforts to increase and sustain product yield in cyanobacteria. | + | High-quality reconstructions of cyanobacterial metabolism are used to guide and support experimental efforts to increase and sustain product yield in cyanobacteria. The group participated in launching a start-up company to commercialize cultivation of cyanobacteria and microalgae at ultra-high densities ([[http:// |
**Further reading: | **Further reading: | ||
- | * Erdrich P, Knoop H, Steuer R, Klamt S. (2014) **[[http:// | + | * Zavřel T, Červený J, Knoop H, Steuer R (2016) **[[http:// |
- | * Kämäräinen J, Knoop H, Stanford NJ, Guerrero F, Akhtar MK, Aro EM, Steuer R, Jones PR. (2012) **[[http:// | + | * Knoop H, Steuer R. (2015) **[[http:// |
+ | * Erdrich P, Knoop H, Steuer R, Klamt S. (2014) **[[http:// | ||
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* Steuer R, Waldherr S, Sourjik V, Kollmann M (2011) **[[http:// | * Steuer R, Waldherr S, Sourjik V, Kollmann M (2011) **[[http:// | ||
* Ralf Steuer (2004) Effects of stochasticity in models of the cell cycle: From quantized cycle times to noise-induced oscillations | * Ralf Steuer (2004) Effects of stochasticity in models of the cell cycle: From quantized cycle times to noise-induced oscillations | ||
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+ | ==== Large-Scale Data Analysis and Interpretation of Metabolomics Data ==== | ||
+ | {{groups/ | ||
+ | Metabolomic measurements provide a wealth of information about the biochemical status of cells, tissues and organs and play an important role to elucidate the function of novel genes. A remarkable inherent feature of cellular metabolism is that the concentrations of a small but significant number of metabolites are strongly correlated when measurements of biological replicates are performed. Drawing upon concepts of Nonlinear Dynamics and Computer Science, our work seeks to elucidate how comparative correlation analysis offers a way to exploit the intrinsic variability of metabolic networks to obtain significant additional information about the physiological state of the system. | ||
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+ | **Further reading: | ||
+ | * Morgenthal K., Weckwerth W., Steuer R. (2006) Metabolomic networks in plants: Transitions from pattern recognition to biological interpretation. Biosystems. 83(2-3): | ||
+ | * R. Steuer, J. Kurths, O. Fiehn and W. Weckwerth (2003) Observing and interpreting correlations in metabolomic networks. Bioinformatics, | ||
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