Systems Theory and Automatic Control

Monica Schliemann-Bullinger

Dr. rer. nat. Monica Schliemann-Bullinger

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  Research Associate
  Institute for Automation Engineering (IFAT)
  Laboratory for Systems Theory and Automatic Control
  Otto-von-Guericke University Magdeburg
  39106 Magdeburg - Germany






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Systems biology approaches to

The proinflammatory cytokine TNF simultaneously induces survival pathways via activation of the nuclear factor κB, and apoptotic signaling by caspase activation when activating its cognate membrane receptor, TNF receptor type 1. I am studying the differential dose-response relationships of these two major TNF signaling pathways using a quantitative and dynamic modelling approach to investigate the crosstalk mechanisms of pro- and anti-apoptotic signaling as a function of dosage and time, and leading to the final outcome of the cellular response.

TNF signalling pathway


Journal Articles (peer reviewed)

M. C. Readman, M. Schliemann, D. Kalamatianos, and E. Bullinger (2013). A feedback control perspective on models of apoptosis signal transduction. Chaos, Solitons & Fractals, 50:93-99. Special Issue ‘Functionality and Dynamics in Biological Systems’.

M. Schliemann, E. Bullinger, S. Borchers, F. Allgöwer, R. Findeisen, and P. Scheurich (2011). Heterogeneity reduces sensitivity of cell death for TNF-stimuli. BMC Syst Biol, 5:204.

Book Chapters (peer reviewed)

M. Schliemann-Bullinger, D. Fey, T. Bastogne, R. Findeisen, P. Scheurich, and E. Bullinger (2016). The experimental side of parameter estimation. In L. Geris and D. Gomez-Cabrero, editors, Uncertainty in Biology, volume 17 of Studies in Mechanobiology, Tissue Engineering and Biomaterials, pp. 127-154. Springer, 1 edition.

Conference Articles (peer reviewed)

S. Lucia, M. Schliemann-Bullinger, R. Findeisen, and E. Bullinger (2016). A set-based optimal control approach for pharmacokinetic / pharmacodynamic drug dosage design. In IFAC-PapersOnLine 49(7) 797–802. Proc. 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS-CAB 2016). Trondheim, Norway. 6-8 June 2016.

M. Schliemann-Bullinger, M. C. Readman, D. Kalamatianos, R. Findeisen, and E. Bullinger (2015). Unraveling apoptosis signalling using linear control methods: Linking the loop gain to reverting the decision to undergo apoptosis. In IFAC-PapersOnLine 48(8), 954–959. Proc. IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2015), Whistler, BC, Canada, 07-10 June 2015.

M. Schliemann, S. Livingstone, M. C. Readman, D. Kalamatianos, and E. Bullinger (2013). Quantifying heterogeneity of cell death. In Proc. of the 12th IFAC Symposium on Computer Applications in Biotechnology, Mumbai, India, 16-18 December 2013, pp. 181-186.

M. Schliemann, R. Findeisen, and E. Bullinger (2012). Robustness-based model validation of an apoptosis signalling network model. In 16th IFAC Symposium on System Identification, Brussels, Belgium, 11-13 July 2012, pages 930-935.

D. Geffen, R. Findeisen, M. Schliemann, F. Allgöwer and M. Guay (2008). Observability Based Parameter Identifiability for Biochemical Reaction Networks. American Control Conference, Seattle, WA, USA, 11-13 June 2008, pp. 2130-2135.

D. Geffen, R. Findeisen, M. Schliemann, F. Allgöwer and M. Guay (2007). The question of parameter identifiability for biochemical reaction networks considering the NF-κB signal transduction pathway. 2nd Foundations of Systems Biology in Engineering FOSBE 2007, 9-12 September 2007, pp. 545-552.

M. Schliemann, T. Eißing, P. Scheurich and E. Bullinger (2007). Mathematical modelling of TNF-α induced apoptotic and anti-apoptotic signalling pathways in mammalian cells based on dynamic and quantitative experiments. 2nd Foundations of Systems Biology in Engineering FOSBE 2007, Stuttgart, Germany, 9-12 September 2007, pp. 213-218.

Conference Posters

M. Schliemann, R. Findeisen, P. Scheurich and E. Bullinger (2012). Dose-Response Characterization of Tumour Necrosis Factor induced Pro- and Anti-Apoptotic Signalling Pathways: From Experiment to Mathematical Modelling for Optimizing and Designing Quantitative Therapeutic Strategies. Biomedica 2012, The European Life Sciences Summit, Liège, Belgium, 18-19 April 2012.

J. Hasenauer, S. Waldherr, M. Schliemann, P. Scheurich and F. Allgöwer (2009). Estimation of biochemical network parameter distributions in cell populations. Cancer Systems Biology - Molecular Mechanisms and Mathematical Modelling, Rostock-Warnemünde, Germany, 7-10 June 2009. First prize in poster contest.

M. Schliemann, P. Scheurich and E. Bullinger (2009). A System Understanding of TNF-α induced Apoptotic and Antiapoptotic Signalling: Combining Single Cell and Population Modelling with Dynamic and Quantitative Experiments. IET Conference on Synthetic Biology, Systems Biology and Bioinformatics BioSysBio, Cambridge, UK, 23-25 March 2009, pp. 207-208.

S. Waldherr, J. Hasenauer, M. Schliemann, P. Scheurich and F. Allgöwer (2009). Modelling and parameter estimation for heterogeneous cell populations. German Symposium on Systems Biology, Heidelberg, Germany, 12-15 May 2009.

M. Schliemann, S. Borchers, P. Scheurich and E. Bullinger (2008). TNF-α induced Apoptotic and Anti-apoptotic Signalling: A Systems Biology Approach combining Dynamic and Quantitative Experiments with Mathematical Modelling. 2nd International Workshop on Systems Biology, NUI Maynooth, Ireland, 17-20 August 2008, p. 48. First prize in poster contest.

S. Waldherr, M. Doszczak, M. Schliemann, J. Schreiner, P. Scheurich and F. Allgöwer (2008). The TNF receptor signalling network: Modular modelling and cell-type specific analysis. 2nd Conference on Systems Biology of the Mammalian Cell, Dresden, Germany, 22-24 May 2008.

M. Schliemann, T. Sauter, E. Bullinger, T. Eissing, F. Allgöwer, O. Sawodny and P. Scheurich (2006). Mathematical modeling of TNF induced apoptotic and anti-apoptotic crosstalk in mammalian cells. Conference on Systems Biology of Mammalian Cells, Heidelberg, Germany, 12-14 July 2006, pp. 66-67.

Book Reviews

M. Schliemann and E. Bullinger (2014). Review of ‘A New Look at Disease: Parkinson's as seen through the eyes of an engineer’ by Peter Wellstead. Control System Principles, Stockport, United Kingdom, 2012, ISBN 978-0957386402. IEEE Control Systems Magazine, 34(1):70-71, 2014.

E. Bullinger and M. Schliemann (2013). Review of ‘Computational Systems Biology of Cancer’ by Emmanuel Barillot, Laurence Calzone, Philippe Hupé, Jean-Philippe Vert and Andrei Zinovyev. Chapman & Hall/CRC, 2012. BioMedical Engineering OnLine, 12(1):76.

E. Bullinger and M. Schliemann (2010). Review of three Recent Books on the Boundary of Bioinformatics and Systems Biology. Biomed Eng Online. 2010; 9: 33.

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