Abstract
A new computational tool was developed, for model-based analysis of the endocytosis and exocytosis mechanisms involved in nanocarrier delivery. This was a hypothetical study because current data are insufficient to identify the underlying process model.
The detailed case studies represent appropriate examples for useful applications of a quite hypothetical model. It allows the study of the individual mechanisms, as well as the synergistic and antagonistic effects of their combinations. It helps to understand how the possible limiting transportations and transformations, as well as the inherent degradations, limit the utilization of the injected drug. In addition, by switching on and off the respective processes, we can evaluate the beneficial or harmful effects of some pathways, like nanocarrier or drug-containing nanocarrier exocytosis.
The applied methodology was flexible and effective, permitting one to describe and run complex process models without any mathematical and computational assistance. The question is whether constructive applications can compensate for the possible malfunctions, caused by the limiting assumptions. Our answer is yes.
The development of this computational model is a valid example for the qualitative identification and validation, organized by the dialogue between field and model experts with the computational model. As such, it can help to organize new round of experiments.
We can state that the future of the computer assisted biosystem related, biotechnological and biomedical studies depends highly on this kind of interactive collaborations. Direct Computer Mapping (DCM) seems to be an effective tool for the organization of these collaborations.
Looking at the Chapters of this Volume it is obvious that the majority of the contributions have very sophisticated and deep experimental background, related to various specific details. From an engineering point of views, they are well-elaborated pieces of a puzzle. However, our simplified, but systematic computational model emphasizes the hypothetical big picture. Similarly to bridge building, in computational systems biology we have to construct the bridge from both sides and, hopefully, to meet in the middle.
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Abbreviations
- NV:
-
nanovehicle
- L:
-
ligand, making possible the association of the drug with nanovehicle
- D:
-
drug (or gene)
- R:
-
receptor
- Lip:
-
lipid, supporting the specific transport through the lipid raft
- Targ:
-
target component in the cytoplasm
- Degr:
-
fictitious terminating component for the degradation of NV, L, R and D containing components
- Mot:
-
motor proteins, contributing to the exocytosis of nanovehicles and of the drug
- FPM:
-
fluid phase macropinocytosis
- RME:
-
receptor-mediated endocytosis
- NAE:
-
nonspecific adsorptive endocytosis
- LRME:
-
lipid-rafts mediated endocytosis
- DCM:
-
Direct Computer Mapping
- R1-R40:
-
elementary reactions
References
Alberts, B., Johnson, A., Lewis, J., Raff, M., Roberts, K. and Walter, P. (2002), Molecular biology of the cell, 4th edition, New York: Garland Science.
Brauer, W. (ed.) (1980) Net theory and applications, Springer Lecture Notes in Computer Science, 84.
Chen, M. and Hofestaedt, R. (1999) Quantitative petri net model of gene regulated metabolic networks in the cell, In Silico. Biol (on-Line), 3, 0030.
Csukas, B. (2001) Direct Computer Mapping of conservational and informational processes, Manuscript of DSc Theses (in Hungarian).
Csukas, B. and Balogh, S. (1998) Combining genetic programming with generic simulation models in evolutionary synthesis, Computers in Industry, 36, 181–197.
Csukas, B. and Perez Uriza, S. (1995) Discrete modelling by Direct Mapping of the conservational processes, Hung J Ind Chem, 23(4), 277–287.
Csukas, B., Balogh, S. and Bankuti, Gy. (2005) Generic Bi-layered Net Model – General software for simulation of hybrid processes, In: Li, D., Wang, B. (eds.) Artificial Intelligence Applications and Innovations II., Springer, USA, 701–710.
Csukas, B., Balogh, S., Kovats, S., Aranyi, A., Kocsis, Z. and Bartha, L. (1999) Process design by controlled simulation of the executable structural models, Comput Chem Engng, 23, 569–572.
Csukas, B., Rossiter, G. and Wooley, R. (2000) Model based comparison of various methods for three component separation in simulated moving bed, Ion Exchange at the Millennium, Proceedings of IEX 2000, Cambridge, 219–229.
Csukas, B., Varga, K. and Lakner, R. (1996) Dynamic simulation by algorithmic generated structural model I., Principles of the Model Generator, Hung J Ind Chem, 24(2), 107–130.
Diaz, D. The GNU Prolog web site, http://www.gprolog.org/
Doherty, G. J., McMahon, H. T. (2009) Mechanisms of endocytosis, Annu Rev Biochem 78, 857–902.
Graphviz – Graph visualization software tool, http://www.graphviz.org/
Grant, B. D., Donaldson, J.G. (2009) Pathways and mechanisms of endocytic recycling, Nat Rev Mol Cell Biol. 10(9), 597–608.
Holzbaur, E. L. and Goldman, Y. E. (2010) Coordination of molecular motors: from in vitro assays to intracellular dynamics, Curr Opin Cell Biol, 22(1), 4–13.
Jin, H., Heller, D. A., Sharma, R. and Strano, M. S. (2009) Size-dependent cellular uptake and expulsion of single-walled carbon nanotubes: single particle tracking and a generic uptake model for nanoparticles, ACS Nano, 3(1),149–58.
Kalman, R., Falb, P. and Arbib, M. (1969) Topics in mathematical system theory. McGraw Hill.
Khalil, I. A., Kogure, K., Akita, H. and Harashima, H. (2006) Uptake pathways and subsequent intracellular trafficking in nonviral gene delivery, Pharmacol Rev, 58(1), 32–45.
Kholodenko, B. N., Hancock, J. F. and Kolch, W. (2010) Signalling ballet in space and time,Nat Rev Mol Cell Biol, 11(6), 414–26.
Kumari, S., Mg, S. and Mayor S. (2010) Endocytosis unplugged: multiple ways to enter the cell, Cell Res, 20(3), 255–75.
Marquardt, W. (1996) Trends in computer-aided process modeling, Computers chem. Engng. 20(6/7), 591–609.
Meier-Schellersheim, M., Fraser, D. C. and Klauschen, F. (2009) Multiscale modeling for biologists, John Wiley & Sons, Inc. WIREs Syst Biol Med 1, 4–14.
Nagy, K., Csukas, B., Kiss, G., Bartha, L. and Balogh, S. (2001) Study on the preparation and properties of olefin-maleic-anhydride copolymers, 40th International Petroleum Conference, Bratislava, Slovak Republic, Paper L-E-1.
Panyam, J. and Labhasetwar, V., (2003) Dynamics of endocytois and exocytosis of poly(D,L-lactide-co-glycolide) nanoparticles in vascular smooth muscle cells, Pharm Re, 20(2), 212–20.
Peleg, M., Rubin, D. and Altman, R. B. (2005) Using petri tools to study properties and dynamics of biological systems, Journal of the American Medical Informatics Association, 12(2), 181–199.
Petri, C. A. (1962) Kommunikation mit automaten (Communication with automatons). Schriften des Institut für Instrumentelle Mathematik, Nr. 2, Bonn.
Prokop, A., and Davidson, J. M. (2008) Nanovehicular intracellular delivery systems, J Pharm Sci, 97(9), 3518–90.
Robert, D., Nguyen, T. H., Gallet, F. and Wilhelm, C. (2010) In vivo determination of fluctuating forces during endosome trafficking using a combination of active and passive microrheology, PLoS One 6;5(4):e10046.
Shih A. J., Purvis J and Radhakrishnan R. (2008) Modeling systems biology of ErbB1 signaling: bridging the gap through multiscale modeling and high-performance computing, Mol Biosyst 4(12), 1151–1159.
Temesvari, K., Aranyi, A., Csukas, B. and Balogh, S. (2004) Simulated moving bed chromatographic separation of a two-component steroid mixture, Chromatographia (on Line), 60, S189-S199.
Varga, M., (2009) Economic optimization of sustainable complex processes, PhD Theses (in Hungarian)
Varga, M., Balogh, S. and Csukas, B. (2010) Sector spanning agrifood process transparency with Direct Computer Mapping, Agricultural Informatics 1(2), 73–83.
Wattis, J. A., O’Malley, B., Blackburn, H., Pickersgill, L., Panovska, J, Byrne, H.M., Jackson, K.G. (2008) Mathematical model for low density lipoprotein (LDL) endocytosis by hepatocytes, Bull Math Biol. 70(8), 2303–33
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Csukás, B., Varga, M., Prokop, A., Balogh, S. (2011). Simulation Based Analysis of Nanocarrier Internalization: Exciting Challenges with a New Computational Tool. In: Prokop, A. (eds) Intracellular Delivery. Fundamental Biomedical Technologies, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1248-5_5
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