Fachgruppenleiter

Dr.-Ing. Steffen Klamt
Dr.-Ing. Steffen Klamt
Telefon: +49 391 6110 480
Fax: +49 391 6110 509

Sekretärin

Anke Goettert
Telefon: +49 391 6110 477
Fax: +49 391 6110 452

Neuigkeiten / Letzte Publikationen

11.05.2017: Neue Publikation         
Zander D, Samaga, R, Straube R, Bettenbrock K. (2017) Bistability and Nonmonotonic Induction of the lac Operon in the Natural Lactose Uptake System. Biophysical Journal 112: 1984-1996.

09.05.2017: Neue Publikation         
Klamt S, Regensburger G, Gerstl MP, Jungreuthmayer C, Schuster S, Mahadevan R, Zanghellini J, Müller S. (2017) From elementary flux modes to elementary flux vectors: Metabolic pathway analysis
with arbitrary linear flux constraints. PLoS Comput Biol 13: e1005409.

24.02.2017: Neue Publikation         
Prigent S, Frioux C, Dittami SM, Thiele S,.....(2017) Meneco, a Topology-Based Gap-Filling Tool Applicable to Degraded Genome-Wide Metabolic Networks PLoS Comput Biol 13: e1005276.

10.01.2017: Neuigkeiten       
Es gibt offene Doktoranden- und Postdocstellen in unserer Gruppe.

10.01.2017: Neue Publikation         
Hädicke O, Klamt S (2017) EColiCore2: a reference model of the central metabolism of Escherichia coli and the relationships to its genome-scale parent model. Scientific Reports 7: 39647.

Analyse und Redesign biologischer Netzwerke

Steffen Klamt

Zeitschriftenartikel (74)

  1. 1.
    Harder, B.-J.; Bettenbrock, K.; Klamt, S.: Temperature-dependent dynamic control of the TCA cycle increases volumetric productivity of itaconic acid production by Escherichia coli. Biotechnology and Bioengineering, 28865130 (angenommen)
  2. 2.
    Hädicke, O.; Klamt, S.: EColiCore2: a reference model of the central metabolism of Escherichia coli and the relationships to its genome-scale parent model. Scientific Reports 7, 39647 (2017)
  3. 3.
    Kamp von, A.; Thiele, S.; Hädicke, O.; Klamt, S.: Use of CellNetAnalyzer in biotechnology and metabolic engineering. Journal of Biotechnology 261, S. 221 - 228 (2017)
  4. 4.
    Kamp von, A.; Klamt, S.: Growth-coupled overproduction is feasible for almost all metabolites in five major production organisms. Nature Communications 8, 15926 (2017)
  5. 5.
    Klamt, S.; Regensburger, G.; Gerstl, P.M.; Jungreuthmayer, C.; Schuster, S.; Mahadevan, R.; Zanghellini, J.; Müller, S.: From elementary flux modes to elementary flux vectors: Metabolic pathway analysis with arbitrary linear flux constraints. PLoS Computational Biology 13 (4), e1005409 (2017)
  6. 6.
    Klamt, S.; Mahadevan, R.; Hädicke, O.: When do two-stage processes outperform one-stage processes? Biotechnology Journal (angenommen)
  7. 7.
    Gerstl, M. P.; Klamt, S.; Jungreuthmayer, C.; Zanghellini, J.: Exact quantification of cellular robustness in genome-scale metabolic networks. Bioinformatics 32 (5), S. 730 - 737 (2016)
  8. 8.
    Harder, B.-J.; Bettenbrock, K.; Klamt, S.: Model-Based metabolic engineering enables high yield itaconic acid production by Escherichia coli. Metabolic Engineering 38, S. 29 - 37 (2016)
  9. 9.
    Koch, S.; Benndorf, D.; Fronk, K.; Reichl, U.; Klamt, S.: Predicting compositions of microbial communities from stoichiometric models with applications for the biogas process. Biotechnology for Biofuels (9), 17 (2016)
  10. 10.
    Ud-Dean, S.; Heise, S.; Klamt, S.; Gunawan, R.: TRaCE+: Ensemble inference of gene regulatory networks from transcriptional expression profiles of gene knock-out experiments. BMC Bioinformatics 17 (17), 252 (2016)
  11. 11.
    Wu, H.; Kamp von, A.; Leoncikas, V.; Mori, W.; Sahin, M.; Gevorgyan, A.; Linley, C.; Grabowski, M.; Mannan, A. A.; Stoy, N. et al.; Steward, G. R.; Ward, L. T.; Lewis, D.J.M.; Sroca, J.; Matsuno, H.; Klamt, S.; Westerhoff, H.V.; McFadden, J.; Plant, N.J.; Kierzek, A.M.: MUFINS: multi-formalism interaction network simulator. npj Systems Biology and Applications 2, 16032 (2016)
  12. 12.
    Bastiaens, P. I.H.; Birtwistle, M.; Blüthgen, N.; Bruggeman, F.; Cho, K.-H.; de la Fuente, A.; Hoek, J.; Kiyatkin, A.; Klamt, S.; Kolch, W. et al.; Legewie, S.; Mendes, P.; Naka, T.; Santra, T.; Sontag, E.; Westerhoff, H.; Kholodenko, B.: Silence on the relevant literature and errors in implementation. Nature Biotechnology 33 (4), S. 336 - 339 (2015)
  13. 13.
    D`Allessandro, L. A.; Samaga, R.; Maiwald, T.; Rho, S.-H.; Bonefas, S.; Raue, A.; Iwamoto, N.; Kienast, A.; Waldow, K.; Meyer, R. et al.; Schilling, M.; Timmer, J.; Klamt, S.; Klingmüller, U.: Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling. PLoS Computational Biology 11 (4), e1004192 (2015)
  14. 14.
    Erdrich, P.; Steuer, R.; Klamt, S.: An algorithm for the reduction of genome-scale metabolic network models to meaningful core models. BMC Systems Biology 9, 48 (2015)
  15. 15.
    Hädicke, O.; Bettenbrock, K.; Klamt, S.: Enforced ATP futile cycling increases specific productivity and yield of anaerobic lactate production in Escherichia coli. Biotechnology and Bioengineering 112 (10), S. 2195 - 2199 (2015)
  16. 16.
    Hädicke, O.; Klamt, S.: Manipulation of the ATP pool as a tool for metabolic engineering. Biochemical Society Transactions (London) 43 (6), S. 1140 - 1145 (2015)
  17. 17.
    Klamt, S.; Mahadevan, R.: On the feasibility of growth-coupled product synthesis in microbial strains. Metabolic Engineering 30, S. 166 - 178 (2015)
  18. 18.
    Mahadevan, R.; Kamp von, A.; Klamt, S.: Genome-scale strain designs based on regulatory minimal cut sets. Bioinformatics 31 (17), S. 2844 - 2851 (2015)
  19. 19.
    Michailidou, M.; Melas, I.; Messinis, D.; Klamt, S.; Alexopoulos, L.; Kolisis, F.; Loutrari, H.: Network-Based Analysis of Nutraceuticals in Human Hepatocellular Carcinomas Reveals Mechanisms of Chemopreventive Action. CPT: Pharmacometrics & Systems Pharmacology 4 (6), S. 350 - 361 (2015)
  20. 20.
    Mueller, S.; Huard, J.; Waldow, K.; Huang, X.; D'Alessandro, L.; Bohl, S.; Börner, K.; Grimm, D.; Klamt, S.; Klingmüller, U. et al.; Schilling, M.: T160‐phosphorylated CDK2 defines threshold for HGF‐dependent proliferation in primary hepatocytes. Molecular Systems Biology 11, 795 (2015)
  21. 21.
    Thiele, S.; Cerone, L.; Saez-Rodriguez, J.; Siegel, A.; Guciolowski, C.; Klamt, S.: Extended notions of sign consistency to relate experimental data to signaling and regulatory network topologies. BMC Bioinformatics 16 (1), 345 (2015)
  22. 22.
    Wiechert, W.; Klamt, S.: Computational Systems Biology — neues Fach in den Lebenswissenschaften. Biospektrum 21 (1), S. 46 - 48 (2015)
  23. 23.
    Erdrich, P.; Knoop, H.; Steuer, R.; Klamt, S.: Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling. Microbial Cell Factories 13, S. 128 - 128 (2014)
  24. 24.
    Kamp von, A.; Klamt, S.: Enumeration of Smallest Intervention Strategies in Genome-Scale Metabolic Networks. PLoS Computational Biology 10 (1), e1003378 (2014)
  25. 25.
    Lohr, V.; Hädicke, O.; Genzel, Y.; Jordan, I.; Buentemeyer, H.; Klamt, S.; Reichl, U.: The avian cell line AGE1.CR.pIX characterized by metabolic flux analysis. BMC Biotechnology 14, S. 72 (2014)
  26. 26.
    Ryll, A.; Bucher, J.; Bonin, A.; Bongard, S.; Gonçalves , E.; Saez- Roidriguez, J.; Niklas, J.; Klamt, S.: A model integration approach linking signalling and gene-regulatory logic with kinetic metabolic models. Biosystems 124, S. 26 - 38 (2014)
  27. 27.
    Chaoiya, C.; Berenguier, D.; Keating, S. M.; Naldi, A.; van Iersel, M. P.; Rodriguez, N.; Dräger, A.; Büchel, F.; Cokelaer, T.; Kowal, B. et al.; Wicks, B.; Gonçalves, E.; Dorier, J.; Page, M.; Monteiro, P. T.; Kamp von, A.; Xenarius , I.; de Jong, H.; Hucka, M.; Klamt, S.; Thieffrey, D.; Le Novère, N.; Saez-Rodriguez, J.; Helikar, T.: SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formlisms and tools. BMC Systems Biology 7, S. 135 (2013)
  28. 28.
    Flassig, R.; Heise, S.; Sundmacher, K.; Klamt, S.: An effective framework for reconstructing gene regulatory networks from genetical genomics data. Bioinformatics 29 (2), S. 246 - 254 (2013)
  29. 29.
    Gonçalves, E.; Bucher, J.; Ryll, A.; Niklas, J.; Mauch, K.; Klamt, S.; Rocha, M.; Saez-Rodriguez, J.: Bridging the layers: towards integration of signal transduction, regulation and metabolism into mathematical models. Molecular BioSystems 9 (7), S. 1576 - 1583 (2013)
  30. 30.
    Gruchattka, E.; Hädicke, O.; Klamt, S.; Schuetz, V.; Kayser , O.: In silico profiling of Escherichia coli and Saccharomyces cerevisiae as terpenoid factories. Microbial Cell Factories 12, 84 (2013)
  31. 31.
    Hädicke, O.; Lohr, V.; Genzel, Y.; Reichl, U.; Klamt, S.: Evaluating differences of metabolic performances: Statistical methods and their application to animal cell cultivations. Biotechnology and Bioengineering 110 (10), S. 2633 - 2642 (2013)
  32. 32.
    Jungreuthmeyer, C.; Nair, G.; Klamt, S.; Zanghellini, J.: Comparison and improvement of algorithms for computing minimal cut sets. BMC Bioinformatics 14 (1), S. 318 (2013)
  33. 33.
    Melas, I. N.; Samaga, R.; Alexopoulos, L. G.; Klamt, S.: Detecting and Removing Inconsistencies between Experimental Data and Signaling Network Topologies Using Integer Linear Programming on Interaction Graphs. PLoS Computational Biology 9 (9), S. e1003204 (2013)
  34. 34.
    Pinna, A.; Heise, S.; Flassig, R.; de la Fuente, A.; Klamt, S.: Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation. BMC Systems Biology 7, S. 73 (2013)
  35. 35.
    Samaga, R.; Klamt, S.: Modeling approaches for qualitative and semi-quantitative analysis of cellular signaling networks. Cell Communication and Signaling 11 (1), S. 43 (2013)
  36. 36.
    Ballerstein, K.; von Kamp, A.; Klamt, S.; Haus, U.-U.: Minimal cut sets in metabolic networks are elementary modes in a dual network. Bioinformatics 28 (3), S. 381 - 387 (2012)
  37. 37.
    Huard, J.; Mueller, S.; Gilles, E. D.; Klingmüller, U.; Klamt, S.: An integrative model links multiple inputs and signaling pathways to the onset of DNA synthesis in hepatocytes. FEBS Journal 279 (18), S. 3290 - 3313 (2012)
  38. 38.
    Hädicke, O.; Klamt, S.: Computing complex metabolic intervention strategies using constrained minimal cut sets. Metabolic Engineering 13 (2), S. 204 - 213 (2011)
  39. 39.
    Hädicke, O.; Grammel, H.; Klamt, S.: Metabolic network modeling of redox balancing and biohydrogen production in purple nonsulfur bacteria. BMC Systems Biology 5, S. 150 (2011)
  40. 40.
    Klamt, S.; Kamp von, A.: An application programming interface for CellNetAnalyzer. Biosystems 105 (2), S. 162 - 168 (2011)
  41. 41.
    Ryll, A.; Samaga, R.; Schaper, F.; Alexopoulos, L.G.; Klamt, S.: Large-scale models of IL-1 and IL-6 signaling and their hepatocellular specification. Molecular BioSystems 7 (12), S. 3253 - 3270 (2011)
  42. 42.
    Franke, R.; Theis, F.J.; Klamt, S.: From Binary to Multivalued to Continuous Models: The Iac Operon as a Case Study. Journal of Integrative Bioinformatics 7 (1), S. 151 (2010)
  43. 43.
    Hädicke, O.; Klamt, S.: CASOP: a computational approach for strain optimization aiming at high productivity. Journal of Biotechnology 147 (2), S. 88 - 101 (2010)
  44. 44.
    Klamt, S.; Flassig, R.; Sundmacher, K.: TRANSWESD: inferring cellular networks with transitive reduction. Bioinformatics 26 (17), S. 2160 - 2168 (2010)
  45. 45.
    Samaga, R.; von Kamp, A.; Klamt, S.: Computing Combinatorial Intervention Strategies and Failure Modes in Signaling Networks. Journal of Computational Biology 17 (1), S. 39 - 53 (2010)
  46. 46.
    Klamt, S.; von Kamp, A.: Computing Paths and Cycles in Biological Interaction Graphs. BMC Bioinformatics 10, S. 181 (2009)
  47. 47.
    Klamt, S.; Haus, U.-U.; Theis, F.: Hypergraphs and cellular networks. PLoS Computational Biology 5 (5), S. e1000385 (2009)
  48. 48.
    Poltz, R.; Franke, R.; Schweitzer, K.; Klamt, S.; Gilles, E. D.; Naumann, M.: Logical network of genotoxic stress-induced NF-kB signal transduction predicts putative target structures for therapeutic intervention strategies. Advances and Applications in Bioinformatics and Chemistry 2, S. 125 - 138 (2009)
  49. 49.
    Saez-Rodriguez, J.; Alexopoulos, L. G.; Epperlein, J.; Samaga, R.; Lauffenburger, D. A.; Klamt, S.; Sorger, P. K.: Discrete logic modelling as a means to link protein signalling networks with functional analysis of mammalian signal transduction. Molecular Systems Biology 5, S. 331 (2009)
  50. 50.
    Samaga, R.; Saez-Rodriguez, J.; Alexopoulos, L. G.; Sorger, P. K.; Klamt, S.: The logic of EGFR/ErbB signaling: theoretical properties and analysis of high-throughput data. PLoS Computational Biology 5 (8), e1000438 (2009)
  51. 51.
    Wittmann, D. M.; Krumsiek, J.; Saez, J.; Lauffenburger, D. A.; Klamt, S.; Theis, F.: Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling. BMC Systems Biology 3, 98 (2009)
  52. 52.
    Franke, R.; Mueller, M.; Wundrack, N.; Gilles, E. D.; Klamt, S.; Kaehne, T.; Naumann, M.: Host-pathogen systems biology: Logical modelling of hepatocyte growth factor and Helicobacter pylori induced c-Met signal transduction. BMC Systems Biology 2, 4 (2008)
  53. 53.
    Haus, U.-U.; Klamt, S.; Stephen, T.: Computing knock-out strategies in metabolic networks. Journal of Computational Biology 15 (3), S. 259 - 268 (2008)
  54. 54.
    Klamt, S.; Grammel, H.; Straube, R.; Ghosh, R.; Gilles, E. D.: Modeling the electron transport chain of purple non-sulfur bacteria. Molecular Systems Biology 4, 156 (2008)
  55. 55.
    Saez-Rodriguez, J.; Hammerle-Fickinger, A.; Dalal, O.; Klamt, S.; Gilles, E. D.; Conradi, C.: Multistability of signal transduction motifs. IET Systems Biology 2 (2), S. 80 - 93 (2008)
  56. 56.
    Beste, D. J.; Hooper, T.; Stewart, G.; Bonde, B.; Avignone-Rossa, C.; Bushell, M. E.; Wheeler, P.; Klamt, S.; Kierzek, A. M.; McFadden, J.: GSMN-TB: a web-based genome-scale network model of Mycobacterium tuberculosis metabolism. Genome Biology 8, R89 (2007)
  57. 57.
    Klamt, S.; Saez-Rodriguez, J.; Gilles, E. D.: Structural and functional analysis of cellular networks with CellNetAnalyzer. BMC Systems Biology 1, 2 (2007)
  58. 58.
    Saez-Rodriguez, J.; Simeoni, L.; Lindquist, J.; Hemenway, R.; Bommhardt, U.; Arndt, B.; Haus, U. U.; Weismantel, R.; Gilles, E. D.; Klamt, S. et al.; Schraven, B.: A logical model provides insights into T cell receptor signaling. PLoS Computational Biology 3, e163 (2007)
  59. 59.
    Klamt, S.: Generalized concept of minimal cut sets in biochmical networks. Biosystems 83 (2-3 ), S. 233 - 247 (2006)
  60. 60.
    Klamt, S.; Saez-Rodriguez, J.; Lindquist, J.; Simeoni, L.; Gilles, E. D.: A methodology for the structural and functional analysis of signaling and regulatory networks. BMC Bioinformatics 7, S. 56 (2006)
  61. 61.
    Saez-Rodriguez, J.; Mirschel, S.; Hemenway, R.; Klamt, S.; Gilles, E. D.; Ginkel, M.: Visual set-up of logical models of signaling and regulatory networks with ProMoT. BMC Bioinformatics 7, 506 (2006)
  62. 62.
    Klamt, S.; Gagneur, J.; von Kamp, A.: Algorithmic approaches for computing elementary modes in large biochemical reaction networks. IEE Proceedings - Systems Biology 152 (4), S. 249 - 255 (2005)
  63. 63.
    Gagneur, J.; Klamt, S.: Computation of elementary modes: a unifying framework and the new binary approach. BMC Bioinformatics 5, 175 (2004)
  64. 64.
    Klamt, S.; Gilles, E. D.: Minimal cut sets in biochemical reaction networks. Bioinformatics 20, S. 226 - 234 (2004)
  65. 65.
    Kremling, A.; Ginkel, M.; Klamt, S.; Gilles, E. D.: Workbench zur Modellbildung, Simulation und Analyse zellulärer Systeme. it - Information Technology 46, S. 12 - 19 (2004)
  66. 66.
    Papin, J. A.; Stelling, J.; Price, N. D.; Klamt, S.; Schuster, S.; Palsson, B. O.: Comparison of network-based pathway analysis methods. Trends in Biotechnology 22 (8), S. 400 - 405 (2004)
  67. 67.
    Klamt, S.; Stelling, J.: Two approaches for metabolic pathway analysis? Trends in Biotechnology 21 (2), S. 64 - 69 (2003)
  68. 68.
    Klamt, S.; Stelling, J.; Ginkel, M.; Gilles, E. D.: FluxAnalyzer: exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps. Bioinformatics 19 (2), S. 261 - 269 (2003)
  69. 69.
    Klamt, S.; Schuster, S.; Gilles, E. D.: Calculability analysis in underdetermined metabolic networks illustrated by a model of the central metabolism in purple nonsulfur bacteria. Biotechnology and Bioengineering 77 (7), S. 734 - 751 (2002)
  70. 70.
    Klamt, S.; Stelling, J.: Combinatorial complexity of pathway analysis in metabolic networks. Molecular Biology Reports 29 (1-2), S. 233 - 236 (2002)
  71. 71.
    Klamt, S.; Schuster, S.: Calculating as many fluxes as possible in underdetermined metabolic networks. Molecular Biology Reports 29 (1-2), S. 243 - 248 (2002)
  72. 72.
    Schuster, S.; Klamt, S.; Weckwerth, W.; Moldenhauer, F.; Pfeiffer, T.: Use of network analysis of metabolic systems in bioengineering. Bioprocess and Biosystems Engineering 24 (6), S. 363 - 372 (2002)
  73. 73.
    Schuster, S.; Klamt, S.: Applying metabolic pathway analysis to make good use of methanol. Trends in Biotechnology 20 (8), S. 322 (2002)
  74. 74.
    Stelling, J.; Klamt, S.; Bettenbrock, K.; Schuster, S.; Gilles, E. D.: Metabolic network structure determines key aspects of functionality and regulation. Nature 420 (6912), S. 190 - 193 (2002)

Buchkapitel (3)

  1. 75.
    Klamt, S.; Haedicke, O.; von Kamp, A.: Stoichiometric and Constraint-Based Analysis of Biochemical Reaction Networks. In: Large-Scale Networks in Engineering and Life Sciences, S. 263 - 316. Springer International Publishing, Cham (2014)
  2. 76.
    Heise, S.; Flassig, R.; Klamt, S.: Benchmarking a Simple Yet Effective Approach for Inferring Gene Regulatory Networks from Systems Genetic Data. In: Gene Network Inference: Verification of Methods for Systems Genetic Data., S. 33 - 47. Springer, Heidelberg (2013)
  3. 77.
    Waddell, S. J.; Kamp von, A.; Klamt, S.; Neyrolles, O.: Host-pathogen interactions. In: Systems Biology of Tuberculosis, S. 107 - 126. Springer, New York (2013)

Konferenzbeitrag (3)

  1. 78.
    Ryll, A.; Bucher, J.; Niklas , J.; Klamt, S.: A fusion approach linking signaling logic and metabolic mass-flow kinetics in hepatocytes. In: Computational Methods in Systems Biology: 11th International Conference, CMSB 2013, S. 255 - 256. 11th International Conference on Computational Methods in Systems Biology CMSB 13, Klosterneuburg, Austria, 22. September 2013 - 24. September 2013. (2013)
  2. 79.
    Bohl, K.; Figueiredo, L.F.; Hädicke, O.; Klamt, S.; Kost, C.; Schuster, S.; Kaleta, C.: CASOP GS: Computing intervention strategies targeted at production improvement in genome-scale metabolic networks. In: German Conference on Bioinformatics 2010, S. 71 - 80 (Hg. Schomburg, D.; Grote, A.). German Conference on Bioinformatics 2010, Braunschweig, Germany, 20. September 2010 - 22. September 2010. (2010)
  3. 80.
    Klamt, S.; Kremling, A.; Gilles, E. D.: FluxAnalyzer: a graphical user interface for stoichiometric and quantitative analysis of metabolic networks. In: Computer applications in biotechnology 2001, S. 119 - 124 (Hg. Dochain, D.; Perrier, M.). 8th IFAC Internationall Conference on Computer Applications in Biotechnology, Québec, 24. Juni 2001 - 27. Juni 2001. (2002)

Poster (1)

  1. 81.
    Flassig, R.; Heise, S.; Sundmacher, K.; Klamt, S.: An effective Framework for Gene RegulatoryNetwork Reconstruction from Genetical Genomics Data. GCB 2012, Jena, Germany (2012)

Hochschulschrift - Dissertation (1)

  1. 82.
    Klamt, S.: Strukturelle Analyse von Stoffwechselnetzen illustriert am bakteriellen Redox- und Zentralstoffwechsel. Dissertation, 194 S., Shaker, Aachen (2005)

Sonderheft (1)

  1. 83.
    Schuster, S.; Kaleta, C.; Klamt, S.; Figueiredo de, L.F. (Hg.): Proceedings of the workshop "Integration of OMICs datasets into metabolic pathway analysis" Edingburgh, U.K., 15 October 2010 IOMPA 2010 (Sonderheft). Biosystems 105 (2 ) (2011)

Editorial (1)

  1. 84.
    Kaleta, C.; de Figueiredo, L. F.; Heiland, I.; Klamt, S.; Schuster, S.: Special Issue: Integration of OMICs datasets into Metabolic Pathway Analysis. Biosystems 105 (2), S. 107 - 108 (2011)
 
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