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November 2010
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The research group is investigating different biochemical and molecular biological aspects in plants by applying systems biology methods. The major scientific focus is the metabolism of plant seeds. The speciality of this work is the combination of the methods used: within one research group, mathematical models of metabolism are created, and the experimental data necessary for these models is generated. Thus, the work is divided approximately 50/50 into experimental methods for data generation and theoretical methods for data processing and prediction.
Research objects are members of the legume family, e.g. the crop plant pea (Pisum sativum) and the model plant barrel medic (Medicago truncatula), and furthermore barley (Hordeum vulgare), wheat (Triticum aestivum), and rice (Oryza sativa) representing monocotyledons. In these systems, different issues in primary metabolism are addressed, with a strong focus on processes during the storage product accumulation phase in seeds.
Theoretical methods applied in the group are mainly kinetic modeling of parts of plant metabolism, including parameter estimation and metabolic control analysis, as well as stoichiometric modeling of the entire central metabolism for the investigation of structural network properties and flux balance analysis. Die basis for these models are experiments, in which metabolite concentrations (by UPLC, GC-MS, and LC-MS/MS), enzyme activities (by robotized cycling assays), and metabolic fluxes (by stable isotope labelling, detection by GC-MS and LC-MS/MS) are measured.
The junior research group is mainly funded by the German Federal Ministry of Education and Research (BMBF) in the frame of the FORSYS-Partner program (systems biology research units). There is a strong connection to the FORSYS center GoForSys at Potsdam University and at the Max-Planck-Institute of Molecular Plant Physiology in Potsdam-Golm.
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| 2012 |
GALLARDO, K., B.H. JUNKER & B. TEULAT-MERAH
| Exploiting model species for studies of legume seed biology. Grain Legumes Magazine, in press. |
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| 2011 |
BAKER, S.M., C.H. POSKAR & B.H. JUNKER
| Unscented Kalman Filter with parameter identifiability analysis for the estimation of multiple parameters in kinetic models. EURASIP Journal on Bioinformatics and Systems Biology, in press. |
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| 2011 |
LOTZ, K., A. HARTMANN, E. GRAFAHREND-BELAU, F. SCHREIBER & B.H. JUNKER
| Flux balance analysis, elementary flux modes and their applications to plant metabolism. In: G. Sriram (Ed.), Plant Metabolism: Methods and Protocols. Methods in Molecular Biology, in press. |
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| 2011 |
JUNKER, A. & B.H. JUNKER
| Synthetic gene networks in plant systems. In: W. Weber, M. Fussenegger (Eds.), Synthetic gene networks. Methods in Molecular Biology, in press. |
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| 2011 |
WEISE, S., J. CHEN; B.H. JUNKER, M. KLAPPERSTÜCK, M. LANGE, F. SCHREIBER & U. SCHOLZ
| Das Informationssystem MetaCrop zur Unterstützung systembiologischer Forschung an Kulturpflanzen. Information Technology (in press). |
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| 2011 |
KRACH, C., E. GRAFAHREND-BELAU,H.POSKAR, K. SCHALLAU, F. SCHREIBER & B.H. JUNKER
| Using systems approaches to analyze metabolic networks involved in storage reserve synthesis in developing seeds. In: G.K. Agrawal & R. Rakwal (Eds.), Seed development: omics technologies toward improvement of seed quality and crop yield, Springer, Netherlands (in press). |
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| 2011 |
GRAFAHREND-BELAU, E., B.H. JUNKER & F. SCHREIBER
| Plant metabolic pathways: Database and pipeline for stoichiometric analysis. In: G.K. Agrawal & R. Rakwal (Eds.), Seed development: omics technologies toward improvement of seed quality and crop yield, Springer, Netherlands, in press. |
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| 2011 |
JUNKER, B.H.
| Steady-state 13C flux analysis in plants (in German). Biospektrum 17: 230-232. |
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| 2011 |
SCHUSTER,S. & B.H. JUNKER
| Topological analysis of metabolic and regulatory networks. In: KOCH, I., W. REISIG & F. SCHREIBER (Eds.): Modeling in Systems Biology: The Petri Net Approach. NY, USA 209-225. |
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| 2011 |
LIIVING, T., S.M. BAKER & B.H. JUNKER
| Biochemical Fudamentals. In: KOCH, I., W. REISIG & F. SCHREIBER (Eds.): Modeling in Systems Biology: the Petri Net Approach. Springer, NY, USA (2011) 19-36. |
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| 2010 |
SCHUSTER, S. & B.H. JUNKER
| Topological analysis of metabolic and regulatory networks. In I. KOCH, W. REISIG & F. SCHREIBER (Eds.): Modeling in Systems Biology: The Petri Net Approach. Springer, NY, USA, p209-224. |
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| 2010 |
LIIVING, T., S.M. BAKER & B.H. JUNKER
| Biochemical Fundamentals. In I. KOCH, W. REISIG & F. SCHREIBER (Eds.): Modeling in Systems Biology: The Petri Net Approach. Springer, NY, USA, p19-36. |
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| 2010 |
BAKER, S.M. & B.H. JUNKER
| Adaptive Unscented Kalman Filter for estimation of parameters in kinetic metabolic models. Proceedings of the 4th International Conference on Computational Systems Biology, pp. 185-186. |
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| 2010 |
KOSCHÜTZKI, D., B.H. JUNKER, J. SCHWENDER & F. SCHREIBER
| Structural analysis of metabolic networks based on flux analysis. Journal of Theoretical Biology 265: 261-269. |
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| 2010 |
SREENIVASULU, N., L. BORISJUK, B.H. JUNKER, H.P. MOCK, H. ROLLETSCHEK, U. SEIFFERT, W. WESCHKE & U. WOBUS
| Barley grain development: towards an integrative view. International Review of Cell and Molecular Biology 281: 49-89. |
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| 2010 |
SCHALLAU, K. & B.H. JUNKER
| Simulating plant metabolic pathways with enzyme-kinetic models. Plant Physiology 152: 1763-1771. |
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| 2010 |
BAKER, S.M., K. SCHALLAU & B.H. JUNKER
| Comparison of different algorithms for simultaneous estimation of multiple parameters in kinetic metabolic models. Journal of Integrative Bioinformatics 7: e133. |
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| 2010 |
HIPPE, K., C. COLMSEE, T. CZAUDERNA, E. GRAFAHREND-BELAU, B.H. JUNKER, C. KLUKAS, U. SCHOLZ, F. SCHREIBER & S. WEISE
| Novel developments of the MetaCrop information system for facilitating systems biological approaches. Journal of Integrative Bioinformatics 7: e125. |
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| 2010 |
FLOSS D.M., K. SCHALLAU, S. ROSE-JOHN, U. CONRAD & J. SCHELLER
| Elastin-like polypeptides revolutionize recombinant protein expression and their biomedical application. Trends in Biotechnology 28: 37-45. |
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| 2009 |
LEMKE, R., M. HAJIREZAEI, B.H. JUNKER, J. MÜLLER, B. USADEL, R. WÜNSCHIERS & F. SCHREIBER
| Mehrskalen-Stoffwechselmodelle von Getreiden: Ein integrativer systembiologischer Ansatz für die Biomasseforschung. GenomXpress 4, 16-18. |
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| 2009 |
WEISE, S., C. COLMSEE, E. GRAFAHREND-BELAU, B. JUNKER, C. KLUKAS, M. LANGE, U. SCHOLZ & F. SCHREIBER
| (In German) Data exchange and integration for modeling and analysis of metabolic networks with the example of crop plants. In: S. Fischer, E. Maehle, R. Reischuk, (Eds.), INFORMATIK 2009 – Im Focus das Leben, Beiträge der 39. Jahrestagung der Gesellschaft für Informatik e.V. (GI). Lecture Notes in Informatics, Vol. P-154, pp693–697. |
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| 2009 |
GRAFAHREND-BELAU, E., C. KLUKAS, B.H. JUNKER & F. SCHREIBER
| FBA-SimVis: Interactive visualization of constraint-based metabolic models. Bioinformatics 25: 2755-2757. |
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| 2009 |
WEISE, S., C. COLMSEE, E. GRAFAHREND-BELAU, B. JUNKER, C. KLUKAS, M. LANGE, U. SCHOLZ & F. SCHREIBER
| An integration and analysis pipeline for systems biology in crop plant metabolism. Proc. Intl. Wsh. on Data Integration in the Life Sciences (DILS'09), accepted. |
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| 2009 |
GRAFAHREND-BELAU, E., B.H. JUNKER, C. KLUKAS, D. KOSCHÜTZKI, F. SCHREIBER & H. SCHWÖBBERMEYER
| Topology of plant metabolic networks. In J. SCHWENDER: Plant Metabolic Networks, Springer, New York, USA. |
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| 2009 |
STEUER, R. & B.H. JUNKER
| Computational models of metabolism: stability and regulation in metabolic networks. Advances in Chemical Physics 142: 105-251. |
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| 2009 |
GRAFAHREND-BELAU, E., F. SCHREIBER, D. KOSCHÜTZKI, & B.H. JUNKER
| Flux balance analysis of barley seeds: a computational approach to study systemic properties of central metabolism. Plant Physiology 149: 585-598. |
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| 2008 |
GRAFAHREND-BELAU, E., B.H. JUNKER, D. KOSCHÜTZKI, C. KLUKAS, S. WEISE, U. SCHOLZ & F. SCHREIBER
| Towards systems biology of developing barley grains: a framework for modeling metabolism. 5th International Workshop on Computational Systems Biology (WCSB), Leipzig. 50-53. |
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| 2008 |
JUNKER, B.H.
| Networks in Biology. In: Junker, B.H. & F. Schreiber (Eds.): Analysis of Biological Networks. Wiley Series on Bioinformatics: Computational Techniques and Engineering. JohnWiley & Sons, Hoboken, NJ, USA, p3-14. |
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| 2008 |
JUNKER, B.H. & F. SCHREIBER (EDS.)
| Analysis of Biological Networks. Wiley Series on Bioinformatics: Computational Techniques and Engineering. John Wiley & Sons, Hoboken, NJ, USA. 346 pp. |
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| 2008 |
GRAFAHREND-BELAU, E., F. SCHREIBER, F. SPEER, M. HEINER, A. SACKMANN, B.H. JUNKER, S. GRUNWALD, A. SPEER, K. WINDER & I. KOCH
| Modularization of biochemical networks based on classification of Petri net t-invariants. BMC Bioinformatics 9: e90. |
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| 2008 |
GRAFAHREND-BELAU, E., S. WEISE, D. KOSCHÜTZKI, U. SCHOLZ, B.H. JUNKER & F. SCHREIBER
| MetaCrop: a detailed database of crop plant metabolism. Nucleic Acids Res. 36: D954-D958. |
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| 2007 |
JUNKER, B.H., J. LONIEN, L.E. HEADY, A. ROGERS & J. SCHWENDER
| Parallel determination of enzyme activities and in vivo fluxes in oilseed embryos reveals minor reprogramming of metabolism upon change in growth conditions. Phytochemistry 68: 2232-2242. |
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| 2006 |
KLUKAS, C., B.H. JUNKER & F. SCHREIBER
| The Vanted software system for transcriptomics, proteomics and metabolomics analysis. Journal of Pesticide Science 31: 289-292. |
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| 2006 |
WEISE, S., I. GROSSE, C. KLUKAS, D. KOSCHÜTZKI, U. SCHOLZ, F. SCHREIBER & B.H. JUNKER
| Meta-All: a system for managing metabolic pathway information. BMC Bioinformatics 7: e465. |
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| 2006 |
JUNKER, B.H., D. KOSCHÜTZKI & F. SCHREIBER
| Exploration of biological network centralities with CentiBiN. BMC Bioinformatics 7: e219. |
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| 2006 |
JUNKER, B.H., D. KOSCHÜTZKI & F. SCHREIBER
| (In German) Vanted: Data evaluation in the network context. GenomXPress 1: 16-18. |
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| 2006 |
JUNKER, B.H., C. KLUKAS & F. SCHREIBER
| Vanted: A system for advanced data analysis and visualization in the context of biological networks. BMC Bioinformatics 7: e109. |
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| 2006 |
JUNKER, B.H., R. WUTTKE, A. NUNES-NESI, D. STEINHAUSER, N. SCHAUER, D. BÜSSIS, L. WILLMITZER & A.R. FERNIE
| Enhancing vacuolar sucrose cleavage within the potato tuber has only minor effects on metabolism. Plant and Cell Physiology 47: 277-289. |
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| 2006 |
JUNKER, B.H., D. KOSCHÜTZKI & F. SCHREIBER
| SyBME – A systems biology modelling environment. Journal of Integrative Bioinformatics 1: e18. |
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| 2005 |
KOCH, I., B.H. JUNKER & M. HEINER
| Application of Petri net theory for modelling and validation of the sucrose breakdown pathway in the potato tuber. Bioinformatics 21: 1219-1226. |
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| 2004 |
JUNKER, B.H., R. WUTTKE, A. TIESSEN, P. GEIGENBERGER, U. SONNEWALD, L. WILLMITZER & A.R. FERNIE
| Temporally regulated expression of a yeast invertase in potato tubers allows dissection of the complex metabolic phenotype obtained following its constitutive expression. Plant Molecular Biology 56: 91-110. |
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| 2004 |
STEINHAUSER, D., B.H. JUNKER, A. LUEDEMANN, J. SELBIG & J. KOPKA
| Hypothesis-driven approach to predict transcriptional units from gene expression data. Bioinformatics 20: 1928-1939. |
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