Publikationen von S. Kleessen

Rosado-Souza, L., Scossa, F., Chaves, I. S., Kleessen, S., Salvador, L. F. D., Milagre, J. C., Finger, F., Bhering, L. L., Sulpice, R., Araujo, W. L., Nikoloski, Z., Fernie, A. R. & Nunes-Nesi, A. Exploring natural variation of photosynthetic, primary metabolism and growth parameters in a large panel of Capsicum chinense accessions. Planta 242, 677–691 (2015).

Alseekh, S., Tohge, T., Wendenburg, R., Scossa, F., Omranian, N., Li, J., Kleessen, S., Giavalisco, P., Pleban, T., Mueller-Roeber, B., Zamir, D., Nikoloski, Z. & Fernie, A. R. Identification and mode of inheritance of quantitative trait Loci for secondary metabolite abundance in tomato. The Plant Cell 27, 485–512 (2015).

Kleessen, S., Laitinen, R., Fusari, C. M., Antonio, C., Sulpice, R., Fernie, A. R., Stitt, M. & Nikoloski, Z. Metabolic efficiency underpins performance trade-offs in growth of Arabidopsis thaliana. Nature Communications 5, (2014).

Hu, C., Shi, J., Quan, S., Cui, B., Kleessen, S., Nikoloski, Z., Tohge, T., Alexander, D., Guo, L., Lin, H., Wang, J., Cui, X., Rao, J., Luo, Q., Zhao, X., Fernie, A. R. & Zhang, D. Metabolic variation between japonica and indica rice cultivars as revealed by non-targeted metabolomics. Scientific Reports 4, (2014).

Kleessen, S., Klie, S. & Nikoloski, Z. Concurrent Conditional Clustering of Multiple Networks: COCONETS. PLoS One 9, (2014).

Meret, M., Kopetzki, D., Degenkolbe, T., Kleessen, S., Nikoloski, Z., Tellstroem, V., Barsch, A., Kopka, J., Antonietti, M. & Willmitzer, L. From systems biology to systems chemistry: metabolomic procedures enable insight into complex chemical reaction networks in water. RSC Advances 4, 16777–16781 (2014).

Kleessen, S., Klie, S. & Nikoloski, Z. Data Integration through Proximity-Based Networks Provides Biological Principles of Organization across Scales. The Plant Cell 25, 1917–1927 (2013).

Kleessen, S., Antonio, C., Sulpice, R., Laitinen, R., Fernie, A. R., Stitt, M. & Nikoloski, Z. Structured patterns in geographic variability of metabolic phenotypes in Arabidopsis thaliana. Nature Communications 3, 1319 (2012).

Kleessen, S., Araujo, W. L., Fernie, A. R. & Nikoloski, Z. Model-based Confirmation of Alternative Substrates of Mitochondrial Electron Transport Chain. Journal of Biological Chemistry 287, 11122–11131 (2012).

Kleessen, S., Fernie, A. R. & Nikoloski, Z. A computational framework for evaluating the efficiency of Arabidopsis accessions in response to nitrogen stress reveals important metabolic mechanisms. Frontiers in Plant Science 3, 217 (2012).

Kleessen, S. & Nikoloski, Z. Dynamic regulatory on/off minimization for biological systems under internal temporal perturbations. BMC Systems Biology 6, 16 (2012).

Riano-Pachon, D. M., Kleessen, S., Neigenfind, Durek, P., Weber, E., Engelsberger, W. R., Walther, D., Selbig, J., Schulze, W. X. & Kersten, B. Proteome-wide survey of phosphorylation patterns affected by nuclear DNA polymorphisms in Arabidopsis thaliana. BMC Genomics 11, 411 (2010).

Kleessen, S. & Nikoloski, Z. in Molecular Mechanisms in Plant Adaptation 193–215 (Wiley-Blackwell, 2015). auf <http://hdl.handle.net/11858/00-001M-0000-0029-24BA-0>

Angeleska, A., Kleessen, S. & Nikoloski, Z. in Discrete and Topological Models in Molecular Biology (Hrsg. Jonoska , N. & Saito, M.) 23–43 (Springer-Verlag, 2014). doi:10.1007/978-3-642-40193-0__2

Toepfer, N., Kleessen, S. & Nikoloski, Z. Integration of metabolomics data into metabolic networks. Frontiers in Plant Science 6, (2015).

Kryvych, S., Kleessen, S., Ebert, B., Kersten, B. & Fisahn, J. Proteomics - The key to understanding systems biology of Arabidopsis trichomes. Phytochemistry 72, 1061–1070 (2011).