Prof. Dr. Christina Kuttler

Technische Universität München
Zentrum Mathematik - M6
Boltzmannstraße 3
85747 Garching

Room: 03.04.040
Phone: +49-89-289-16838
eMail: kuttlerma.tum.de

Research Interests

• Mathematical modelling of biological and physical processes by ordinary and partial differential equations
• Reaction-diffusion equations
• Parameter estimation
• Systems Biology

Publications

2019

• Aenne Oelker, Thomas Horger, Christina Kuttler
  From Staphylococcus aureus gene regulation to its pattern formation 
  Journal of Mathematical Biology (1-28)
• A. Jell, C. Kuttler, N. Hüser, J. Steger, D. Ostler and H. Feußner
  Facing Big Data in Longterm High Resolution Manometry of the Esophagus by Automated Swallow Detection and Classification 
  International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA (995-998)
• Mund, Anne; Kuttler, Christina; Pérez-Velázquez, Judith
  Using G-Functions to Investigate the Evolutionary Stability of Bacterial Quorum Sensing 
  Mathematics 7, no. 11 (1112)
• Schlicke P., Schumann C., Kuttler C.
  Ein erweitertes mathematisches Modell zur Beschreibung von Wachstum und Größenverteilung von Metastasen unter Therapie 
  Conference: 60. Kongress der Deutschen Gesellschaft für Pneumologie und Beatmungsmedizin e. V. (73(S 01) (2019))

2018

• Ammar Jalalimanesh, Christina Kuttler, Rodolfo Garcia-Contreras, Judith Perez-Velazquez
  An Agent-Based Model to Study Selection of Pseudomonas aeruginosa Quorum Sensing by Pyocyanin: A Multidisciplinary Perspective on Bacterial Communication 
  Quantitative Models for Microscopic to Macroscopic Biological Macromolecules and Tissues (133-147)
• Maryam Ghasemi, Burkhard A. Hense, Hermann Eberl, Christina Kuttler
  Simulation-Based Exploration of Quorum Sensing Triggered Resistance of Biofilms to Antibiotics 
  Bulletin of Mathematical Biology 80(1) (1736-1775)
• Paulina Castañeda-Tamez, Jimena Ramírez-Peris, Judith Pérez-Velázquez, Christina Kuttler, Ammar Jalalimanesh, Miguel Á. Saucedo-Mora, J. Guillermo Jiménez-Cortés, Toshinari Maeda, Yael González, María Tomás, Thomas K. Wood, Rodolfo García-Contreras
  Pyocyanin Restricts Social Cheating in Pseudomonas aeruginosa 
  Frontiers Microbiol. 9:1348

2017

• Kuttler, C.
  Reaction-Diffusion Equations and Their Application on Bacterial Communication 
  Handbook of Statistics-Disease Modelling and Public Health, Part B (Chapter 4 55-91)
• Juan-Carlos Garcia-Betancur, Angel Goni-Moreno, Thomas Horger, Melanie Schott, Malvika Sharan, Julian Eikmeier, Barbara Wohlmuth, Alma Zernecke, Knut Ohlsen, Christina Kuttler, Daniel Lopez
  Cell differentiation defines acute and chronic infection cell types in Staphylococcus aureus 
  eLife Sciences 6 (1-39)

2016

• Mund, A.; Kuttler, C.; Perez-Velazquez, J.; Hense, B.A.
  An age-dependent model to analyse the evolutionary stability of bacterial quorum sensing 
  Journal of Theoretical Biology 205
• Barbarossa, M.V.; Kuttler, C.
  Mathematical Modeling of Bacteria Communication in Continuous Cultures 
  Applies Sciences 6(5): 149
• Kumberger, P.; Kuttler, C.; Czuppon, P.; Hense, B.A.
  Multiple regulation mechanisms of bacterial Quorum sensing 
  Biomath 5 (2016), 1607291

2015

• J. Perez-Velazquez, B. Quinones, B.A. Hense, C. Kuttler:
  A mathematical model to investigate quorum sensing regulation and its heterogeneity in Pseudomonas syringae on leaves 
  Ecological Complexity 21, (128-141)
• B.A. Hense. C. Kuttler, J. Müller
  Functionality of Autoinducer Systems in Complex Environments 
  The Physical Basis of Bacterial Quorum Communication, Springer (83-103)
• Blessing O. Emerenini, Burkhard A. Hense, Christina Kuttler, Hermann J. Eberl
  A Mathematical Model of Quorum Sensing Induced Biofilm Detachment. 
  PLoS ONE 10 (7):e0132385

2014

• M. Mohr, M. V. Barbarossa, C. Kuttler
  Predator-Prey interactions, age structures and delay equations 
  Math. Model. Nat. Phenom. 9(1) (92-107)
• J. Müller, B.A. Hense, S. Marozava, C. Kuttler, R.U. Meckenstock:
  Model selection for microbial nutrient uptake using a cost-benefit approach 
  Math. Biosc. 255 (52-70)
• K. Buddrus-Schiemann, M. Rieger, M. Mühlbauer, M. V. Barbarossa, C. Kuttler, B. A. Hense, M. Rothballer, J. Uhl, J. R. Fonseca, P. Schmitt-Kopplin, M. Schmid, A. Hartmann
  Analysis of N-acylhomoserine lactone dynamics in continuous cultures of Pseudomonas putida IsoF by use of ELISA and UHPLC/qTOF-MS-derived measurements and mathematical models 
  Anal. Bioanal. Chem., DOI: 10.1007 (00216-014-8063-6)
• M. V. Barbarossa, K. P. Hadeler, C. Kuttler
  State-dependent neutral delay equations from population dynamics 
  J. Math. Biol., DOI: 10.1007 (00285-014-0821-8)
• T. Horger, C. Kuttler, B. Wohlmuth, A. Zhigun
  Analysis of a bacterial model with nutrient-dependent degenerate diffusion 
  Math. Methods Appl. Sci.,DOI: 10.1002/mma.3322
• M. Gölgeli Matur, J. Müller, C. Kuttler, B.A. Hense
  An approximative aproach for single cell spatial modeling of quorum sensing 
  J. Comp Biol., DOI: 10.1089/cmb. 2014.0198

2013

• Horger, T., Oelker, A., Kuttler, C., Perez-Velazquez, J.
  Mathematical modeling of tumor-induced angiogenesis using porous medium diffusion
  Int. J. Biomath. Biostat. 2 (1) (145-165)

2012

• Li, D., Rothballer, M., Engel, M., Hoser, J., Schmidt, T., Kuttler, C., Schmid, M., Schloter, M., Hartmann, A.
  Phenotypic variation in Acidovorax radicis N35 influences plant growth promotion. 
  FEMS Microbiol. Ecol. 79(3) (751-762)
• Barbarossa, M.V., Kuttler, C., Zinsl, J.
  Delay equations modeling the effects of phase-specific drugs and immunotherapy on proliferating tumor cells 
  Mathematical Biosciences and Engineering, 9 (2) (241 - 257)
• Hense, B.A., Müller, J., Kuttler, C., Hartmann, A.
  Spatial Heterogeneity of Autoinducer Regulation Systems 
  Sensors 12 (4156-4171)
• A. Meyer, J. Megerle, C. Kuttler, J. Müller, C. Aguilar, L. Eberl, B. Hense, J.O. Rädler
  Dynamics of AHL mediated quorum sensing under flow and non-flow conditions 
  Physical Biology 9
• M. Gallenberger, W. zu Castell, B. A. Hense, C. Kuttler
  Dynamics of glucose and insulin concentration connected to the beta-cell cycle: model development and analysis 
  Theor. Biol. Med. Modelling 9 (4-6)
• J. Pérez-Velázquez, R. Schlicht, G. Dulla, B. A. Hense, C. Kuttler, S. E. Lindow
  Stochastic modeling of Pseudomonas syringae growth in the phyllosphere 
  Math. Biosciences 239 (106-116)

2011

• Frederick, M.R., Kuttler, C., Hense, B.A., Eberl, H.J.
  A mathematical model of quorum sensing regulated EPS production in biofilm communities 
  Theoretical Biology and Medical Modelling, 8 (1-29)

2010

• Barbarossa, M.V., Kuttler, C., Fekete, A., Rothballer, M
  A delay model for quorum sensing of Pseudomonas putida 
  BioSystems 102 (148-156)
• Kuttler, C., Hense, B.A.
  Finetuning for the Mathematical Modelling of Quorum Sensing Regulation Systems 
  Int. J. Biomath. Biostat. 1, (151-168)
• Frederick, M.R., Kuttler, C., Hense, B.A., Müller, J., Eberl, H.J.
  A mathematical model of quorum sensing in patchy biofilm communities with slow background flow 
  Canad. Appl. Math. Quarterly 18 (267-298)
• Fekete, A., Kuttler, C., Rothballer, M., Hense, B.A., Fischer, D., Buddrus-Schiemann, K., Lucio, M., Müller, J., Schmitt-Kopplin, P., Hartmann, A.
  Dynamic regulation of N-acyl-homoserine lactone productionand degradation in Pseudomonas putida IsoF 
  FEMS Microbiol. Ecol.72 (22–34)

2008

• Müller, J., Kuttler, C., Hense, B.A., Zeiser, S., Liebscher, V.
  Transcription, intercellular variability and correlated random walk 
  Math. Biosc. (30-39)
• Kuttler, C., Hense, B.A.
  The interplay of two quorum sensing regulation systems of Vibrio fischeri 
  J. theor. Biol.251 (167-180)
• Müller, J., Kuttler, C., Hense, B.A.
  Sensitivity of the Quorum Sensing system is achieved by low pass filtering  
  BioSystems 92 (76-81)
• Hense, B.A., Kuttler, C., Müller, J., Rothballer, M., Hartmann, A., Kreft, J.U.
  Efficiency Sensing - was messen Autoinduktoren wirklich?
  Biospektrum 01.08 (18-21)
• Zeiser, S., Rivera, O., Kuttler, C., Hense, B., Lasser, R., Winkler, G.
  Oscillations of Hes7 caused by negative autoregulation and ubiquitination 
  Computational Biology and Chemistry 32 (48-52)

2007

• Schuster, I.G., Busch, D.H.,C., Kuttler, C., Ellwart, et al.
  Allorestricted T cells with specificity for the FMNL1-derived peptide PP2 have potent antitumor activity against hematologic and other malignancies 
  Blood 110 (2931-2939)
• Englmann, M., Fekete, A., Kuttler, C., Frommberger, M., Li, X., Gebefügi, I., Fekete, J., Schmitt-Kopplin, P.
  The hydrolysis of unsubstituted N-acylhomoserine lactones to their homoserine metabolites. Analytical approaches using ultra performance liquid chromatography  
  J. Chromatography A 1160 (184-193)
• Hense, B.A., Kuttler, C., Müller, J., Rothballer, M., Hartmann, A., Kreft, J.U.
  Does efficiency sensing unify diffusion and quorum sensing? 
  Nature Reviews Microbiology 5 (230-239)

Other years

• Müller, J., Kuttler, C., Hense, B.A., Rothballer, M., Hartmann, A.
  Cell-cell communication by quorum sensing and dimension-reduction 
  J. Math. Biol. 53, 2006 (672-702)
• Hadeler, K.P., Kuttler, C., Nussbaum, A.K.
  Cleaving proteins for the immune system. 
  Math. Biosc. 188, 2004 (63-79)
• Hakenberg, J., Nussbaum, A.K., Schild, Kuttler, C., Holzhütter, H.G.et all
  MAPPP - MHC-I Antigenic Peptide Processing Prediction.
  Appl. Bioinf. 2, 2003 (155-158)
• Hadeler, K.P., Kuttler, C.
  Variational Principles for Granular Matter. 
  Prog. Nonlin. Diff. Eq. Appl. 55, 2003 (215-225)
• Hadeler, K.P., Kuttler, C.
  Granular matter  
  SFB 382, Report Nr. 185, 2003
• Hadeler, K.P., Kuttler, C.
  Instantaneous deposition of granular matter 
  SFB 382, Report Nr. 186, 2003
• Kuttler, C.
  On the competitive growth of two sand heaps. 
  Math. Meth. Appl. Sci. 26, 2003 (1435-1449)
• Nussbaum, A.K., Kuttler, C., Tenzer, S., Schild, H.
  Using the World Wide Web for predicting CTL epitopes 
  Current opinion in Immunology 15, 2003 (69-74)
• Hadeler, K.P., Kuttler, C., Gergert, I.
  Dirichlet and obstacle problems for granular matter 
  SFB 382, Report Nr. 173, 2002
• Kuttler, C.
  Free boundary problem for a one-dimensional transport equation
  Zeit. Anal. Anwend. 20, 2001 (859-881)
• Nussbaum, A.K., Kuttler, C., Hadeler, K.P., Rammensee, H.G., Schild, H.
  PAProC: a prediction algorithm for proteasomal cleavages  
  Immunogenetics 53, 2001 (87-94)
• Kuttler, C., Nussbaum, A.K., Dick, T.P., Rammensee, H.G., Schild, H., Hadeler, K.P.
  An algorithm for the prediction of proteasomal cleavages. 
  J. Mol. Biol. 298, 2000 (417-429)
• Kuttler, C.
  Freie Randwertprobleme für eindimensionale Transportgleichungen.
  Dissertation, Universität Tübingen, 2000
• Hadeler, K.P., Kuttler, C.
  A model for slowly moving granular matter
  In: D. Helbing, H.J. Herrmann, M. Schreckenberg, D.E. Wolf (eds), Traffic and Granular Flow '99: Social, Traffic, and Granular Dynamics, Springer Verlag, 2000
• Kuttler, C., Nussbaum, A.K., Schild, H., Hadeler, K.P.
  Improved Proteasome models for the reproduction and prediction of protein cleavage
  submitted, 2000
• Kuttler, C.
  Algorithmic Prediction of Proteasomal Cleavages.
  In: E. Bornberg-Bauer, U. Rost, J. Stoye, M. Vingron (eds), GCB 2000: Proceedings of the German Conference of Bioinformatics, Heidelberg, Logos-Verlag, 2000

Teaching

Summer Term 2019

• Case studies Life Science Mathematics (MA5616), Prof. Dr. Johannes Müller, Prof. Dr. Donna Ankerst, Dr. Hannes Petermeier, Prof. Dr. Christina Kuttler
• Applications of Mathematical Biology (MA3602), Prof. Dr. Christina Kuttler
• MA6002-Workshop: Diskrete Dynamische Systeme und ihre Anwendungen in den Lebenswissenschaften, Prof. Dr. Christina Kuttler

Winter Term 2018/2019

• Mathematical Models in Biology (MA3601), Prof. Dr. Christina Kuttler

Summer Term 2018

• Höhere Mathematik 3 in Weihenstephan (MA9603), Prof. Dr. Christina Kuttler
• Case studies Life Science Mathematics (MA5616), Prof. Dr. Johannes Müller, Prof. Dr. Donna Ankerst, Dr. Hannes Petermeier, Prof. Dr. Christina Kuttler
• Analysis 2 für Lehramt an Gymnasien (MA1004), Prof. Dr. Christina Kuttler
• Hauptseminar: Mathematische Modellierung der Mortalität durch Krebs, Prof. Dr. Christina Kuttler, Noemi Castelletti, Christoforo Simonetto

Winter Term 2017/2018

• Höhere Mathematik 1 in Weihenstephan (MA9601), Prof. Dr. Christina Kuttler
• Delay Differential Equations with Applications (MA5062), Prof. Dr. Christina Kuttler
• Hauptseminar: Laufende Wellen und Ausbreitung im Raum, Prof. Dr. Christina Kuttler

Summer Term 2017

• Advanced Mathematical Biology (MA3602), Prof. Dr. Christina Kuttler
• Case studies Life Science Mathematics (MA5616), Prof. Dr. Johannes Müller, Dr. Jan Hasenauer, Prof. Dr. Christina Kuttler
• MA6002-Workshop: Spieltheorie und Evolution, Prof. Dr. Christina Kuttler

Winter Term 2016/2017

• Mathematical Models in Biology (MA3601), Prof. Dr. Christina Kuttler
• Hauptseminar: Krebs-Modellierung und Simulation, Prof. Dr. Christina Kuttler
• Herbstuni

Summer Term 2016

• Case studies Life Science Mathematics (MA5616), Prof. Dr. Johannes Müller, Dr. Hannes Petermeier, Dr. Jan Hasenauer, Dr. Carsten Marr, Prof. Dr. Christina Kuttler
• Höhere Mathematik 3 in Weihenstephan (MA9603), Prof. Dr. Christina Kuttler
• Hauptseminar: Mathematische Ökologie, Prof. Dr. Christina Kuttler

Winter Term 2015/2016

• Höhere Mathematik 1 in Weihenstephan (MA9601), Prof. Dr. Christina Kuttler
• Reaktionsdiffusionsgleichungen mit Anwendungen (MA5604), Prof. Dr. Christina Kuttler
• Hauptseminar: Transportprozesse: Mathematische Modellierung und Numerische Methoden, Prof. Dr. Barbara Wohlmuth, Prof. Dr. Christina Kuttler

Summer Term 2015

• Advanced Mathematical Biology (MA3602), Prof. Dr. Christina Kuttler
• Proseminar: Mathematische Modellierung natürlicher Systeme, Prof. Dr. Christina Kuttler

Winter Term 2014/2015

• Mathematical Models in Biology (MA3601), Prof. Dr. Christina Kuttler
• Proseminar: Mathematische Modellierung in Medizin und Lebenswissenschaften, Prof. Dr. Christina Kuttler

Summer Term 2014

• Höhere Mathematik 3 in Weihenstephan, Prof. Dr. Christina Kuttler
• Mathematische Ökologie, Prof. Dr. Christina Kuttler
• Seminar: Modelle der evolutionären Dynamik, Prof. Dr. Christina Kuttler, PD Dr. Peter Massopust, Dr. Judith Perez-Velazquez

Winter Term 2013/2014

• Höhere Mathematik 1 in Weihenstephan, Prof. Dr. Christina Kuttler
• Mathematical Population Genetics and Evolutionary Dynamics, Prof. Dr. Christina Kuttler
• Seminar: Optimale Steuerung, Prof. Dr. Martin Brokate, Prof. Dr. Christina Kuttler

Summer Term 2013

• Advanced Models in Biology, Prof. Dr. Christina Kuttler
• Seminar: Modelle biologischer Systeme (Blockseminar), Prof. Dr. Christina Kuttler, Prof. Dr. Johannes Müller

Winter Term 2012/2013

• Mathematical Models in Biology I, Prof. Dr. Christina Kuttler
• Seminar: Mathematical Ecology, Prof. Dr. Christina Kuttler

Summer Term 2012

• Delay Equations with Applications, Prof. Dr. Christina Kuttler, M.Sc. Maria Barbarossa
• Höhere Mathematik 3 in Weihenstephan, Prof. Dr. Christina Kuttler
• Proseminar: Mathematical Biology and Physiology , Prof. Dr. Christina Kuttler

Winter Term 2011/2012

• Höhere Mathematik 1 in Weihenstephan, Prof. Dr. Christina Kuttler
• Proseminar:Biomathematik with M.Sc. Maria Barbarossa
• Hauptseminar: Mathematische Modellierung medizinischer Anwendungen with Dr. Judith Perez-Velazquez

Past Terms

Curriculum Vitae

Christina Kuttler (born 1973 in Tübingen) studied Mathematics, Physics and Informatics at the University of Tübingen. After finishing her Ph.D. thesis (Freie Randwertprobleme für eindimensionale Transportgleichungen) she stayed for a further position as Postdoc in Tübingen (dealing with mathematical problem of granular matter and the prediction of proteasomal cleavages in the context of the immune system). In 2004 she got a Postdoc position at the Institute of Biomathematics and Biometry, Helmholtz Center Munich, where she was involved in the interdisciplinary research project "Molecular interaction in the rhizosphere" and contributed mathematical models for biological questions.

Since 2008, she is at the Technical University Munich, as an extraordinary professor, with the topic "Mathematics in Life Sciences". Her main interest are focussed at the moment in the area of deterministic mathematical models. A main project deals with the modelling of bacterial communications, where especially the intracellular regulation mechanisms and diffusion processes are considered.