Abstract
The correlation of the kinetics of 18 amino acids, ammonia and urea in 18 liver cell bioreactor runs was analyzed and described by network structures. Three kinds of networks were investigated: i) correlation networks, ii) Bayesian networks, and iii) dynamic networks that obtain their structure from systems of differential equations. Three groups of liver cell bioreactor runs with low, medium and high performance, respectively, were investigated. The aim of this study was to identify patterns and structures of the amino acid metabolism that can characterize different performance levels of the bioreactor.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Sauer, I.M., Obermayer, N., Kardassis, D., Theruvath, T., Gerlach, J.C.: Development of a Hybrid Liver Support System. Ann. N.Y. Acad. Sci. 944, 308–319 (2001)
Pfaff, M., Toepfer, S., Woetzel, D., Driesch, D., Zeilinger, K., Pless, G., Neuhaus, P., Gerlach, J.C., Schmidt-Heck, W., Guthke, R.: Fuzzy Cluster and Rule Based Analysis of the System Dynamics of a Bioartificial 3D Human Liver Cell Bioreactor for Liver Support Therapy. In: Dounias, G., Magoulas, G., Linkens, D. (eds.) Intelligent Technologies in Bioinformatics and Medicine. Special Session Proceedings of the EUNITE 2004 Symposium, A Publication of the University of the Aegean, vol. 57 (2004)
D’haeseleer, P., Liang, S., Somogyi, R.: Genetic Network Inference: From Co- Expression Clustering to Reverse Engineering. Bioinformatics 16, 707–726 (2000)
De Jong, H.: Modeling and Simulation of Genetic Regulatory Systems: A Literature Review. J. Comput. Biol. 9, 69–105 (2002)
Pless, G., Obermayer, N., Sauer, I.M., Zeilinger, K., Buentemeyer, H., Lehmann, J., Gerlach, J.C., Neuhaus, P.: Aminosäurestoffwechselmuster humaner Leberzellen in 3-D-Hochdichtekultur. In: Jahrestagung der Deutschen Arbeitsgemeinschaft zum Studium der Leber, Berlin, vol. 19 (2003)
Arkin, A., Shen, P., Ross, J.: A Test Case of Correlation Metric Construction of a Reaction Pathway from Measurements. Science 277, 1275–1279 (1997)
Cooper, G.F., Herskovits, E.: A Bayesian Method for the Induction of Probabilistic Networks from Data. Machine Learning 9, 309–347 (1992)
Kitano, H. (ed.): Foundations of Systems Biology. MIT Press, Cambridge (2001)
Schmidt-Heck, W., Guthke, R., Toepfer, S., Reischer, H., Duerrschmid, K., Bayer, K.: Reverse Engineering of the Stress Response during Expression of a Recombinant Protein. In: Proceedings of the EUNITE 2004 Symposiumé Verlag Mainz, Aachen, pp. 407–412 (2004)
Ramoni, M., Sebastiani, P.: Bayesian Methods. In: Intelligent Data Analysis, An Introduction, pp. 129–166. Physica Verlag, Heidelberg (1999), www.bayesware.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schmidt-Heck, W. et al. (2004). Network Analysis of the Kinetics of Amino Acid Metabolism in a Liver Cell Bioreactor. In: Barreiro, J.M., Martín-Sánchez, F., Maojo, V., Sanz, F. (eds) Biological and Medical Data Analysis. ISBMDA 2004. Lecture Notes in Computer Science, vol 3337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30547-7_43
Download citation
DOI: https://doi.org/10.1007/978-3-540-30547-7_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23964-2
Online ISBN: 978-3-540-30547-7
eBook Packages: Springer Book Archive