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Erschienen in:
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2013 | OriginalPaper | Buchkapitel

In Vivo, In Vitro, In Silico: Computational Tools for Product and Process Design in Tissue Engineering

verfasst von : Liesbet Geris

Erschienen in: Computational Modeling in Tissue Engineering

Verlag: Springer Berlin Heidelberg

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Abstract

This chapter aims to provide an introduction to how engineering tools in general and computational models in particular can contribute to advancing the tissue engineering (TE) field. After a description of the current state of the art of TE, the developmental engineering paradigm is briefly discussed. Subsequently an overview is provided of different model categories that focus on different aspects of TE. These categories consists of the models that focus on either the TE product, the TE process or the in vivo results obtained after implantation. Generally, in all these models the aim is firstly to understand the biological process at hand and secondly to design strategies in silico to enhance the desired in vitro or in vivo behaviour. Finally, the need for quantification and parameter determination is discussed along with the computational tools and models that can be used to design the thereto required experiments in the most intelligent way.

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Literatur
1.
Langer, R., Vacanti, J.P.: Tissue engineering. Science 260, 920–926 (1993)CrossRef
2.
Meijer, G., de Bruijn, J.D., Koole, R., van Blitterswijk, C.A.: Cell-based bone tissue engineering. PLoS Med. 4, e9 (2007)CrossRef
3.
Archer, R., Williams, D.: Why tissue engineering needs process engineering. Nat. Biotechnol. 23, 1353–1355 (2005)CrossRef
4.
Ingber, D.E., Mow, V.C., Butler, D., Niklason, L., Huard, J., Mao, J., Yannas, I., Kaplan, D., Vunjak-Novakovic, G.: Tissue engineering and developmental biology: going biomimetic. Tissue Eng. 12, 3265–3283 (2006)CrossRef
5.
Lenas, P., Moos, M., Luyten, F.P.: Developmental engineering: a new paradigm for the design and manufacturing of cell-based products. Part II: from genes to networks: tissue engineering from the viewpoint of systems biology and network science. Tissue Eng. Part B Rev. 15(4), 395–422 (2009)CrossRef
6.
Lenas, P., Moos, M., Luyten, F.P.: Developmental engineering: a new paradigm for the design and manufacturing of cell-based products. Part I: from three-dimensional cell growth to biomimetics of in vivo development. Tissue Eng. Part B Rev. 15(4), 381–394 (2009)CrossRef
7.
Lenas, P., Luyten, F.: An emerging paradigm in tissue engineering: from chemical engineering to developmental engineering for bioartificial tissue formation through a series of unit operations that simulate the in vivo successive developmental stages. Ind. Eng. Chem. Res. 50(2), 482–522 (2011)CrossRef
8.
Lenas, P., Luyten, F.P., Doblare, M., Nicodemou-Lena, E., Lanzara, A.E.: Modularity in developmental biology and artificial organs: a missing concept in tissue engineering. Artif. Organs 35(6), 656–662 (2001)CrossRef
9.
Kronenberg, H.M.: PTHrP and skeletal development. Ann. N. Y. Acad. Sci. 1068, 1–13 (2006)CrossRef
10.
Kronenberg, H.M.: Developmental regulation of the growth plate. Nature 423, 332–336 (2003)CrossRef
11.
Solomon, L.A., Bérubé, N.G., Beier, F.: Transcriptional regulators of chondrocyte hypertrophy. Birth Defects Res. C Embryo Today 84, 123–130 (2008)CrossRef
12.
Burdan, F., Szumi, J., Korobowicz, A., Farooquee, R., Patel, S., Patel, A., Dave, A., Szumi, M., Solecki, M., Klepacz, R., Dudka, J.: Morphology and physiology of the epiphyseal growth plate. Folia Histochem. Cytobiol. 47, 5–16 (2009)CrossRef
13.
Luyten, F.P., Dell’Accio, F., De Bari, C.: Skeletal tissue engineering: opportunities and challenges. Best Pract. Res. Clin. Rheumatol. 15(5), 759–770 (2001)CrossRef
14.
Shapiro, F.: Bone development and its relation to fracture repair. The role of mesenchymal osteoblasts and surface osteoblasts. Eur. Cell Mater. 15, 53–76 (2008)
15.
Reddi, A.H.: Morphogenesis and tissue engineering of bone and cartilage: inductive signals, stem cells, and biomimetic materials. Tissue Eng. 6(4), 351–359 (2000)CrossRef
16.
Hunziker, E.B.: Articular cartilage repair: basic science and clinical progress. A review of the current status and prospects. Osteoarthr. Cartil. 10(6), 432–463 (2002)
17.
Ferguson, C., Alpern, E., Miclau, T., Helms, J.A.: Does adult fracture repair recapitulate embryonic skeletal formation? Mech. Dev. 87(1–2), 57–66 (1999)CrossRef
18.
Alsberg, E., Anderson, K.W., Albeiruti, A., Rowley, J.A., Mooney, D.J.: Engineering growing tissues. Proc. Natl. Acad. Sci. U S A 99, 12025–12030 (2002)CrossRef
19.
Jukes, J.M., Both, S.K., Leusink, A., Sterk, L.M., van Blitterswijk, C.A., de Boer, J.: Endochondral bone tissue engineering using embryonic stem cells. Proc. Natl. Acad. Sci. U S A 105(19), 6840–6845 (2008)CrossRef
20.
Scotti, C., Tonnarelli, B., Papadimitropoulos, A., Scherberich, A., Schaeren, S., Schauerte, A., Lopez-Rios, J., Zeller, R., Barbero, A., Martin, I.: Recapitulation of endochondral bone formation using human adult mesenchymal stem cells as a paradigm for developmental engineering. Proc. Natl. Acad. Sci. U S A 107(16), 7251–7256 (2010)CrossRef
21.
Weiss, H.E., Roberts, S.J., Schrooten, J., Luyten, F.P.: A semi-autonomous model of endochondral ossification for developmental tissue engineering. Tissue Eng. Part A (2012). doi:10.​1089/​ten.​tea.​2011.​0602
22.
Martin, I., Smith, T., Wendt, D.: Bioreactor-based roadmap for the translation of tissue engineering strategies into clinical products. Trends Biotechnol. 27, 495–502 (2009)CrossRef
23.
Roberts, S.J., Geris, L., Kerckhofs, G., Desmet, E., Schrooten, J., Luyten, F.P.: The combined bone forming capacity of human periosteal derived cells and calcium phosphates. Biomaterials 32(19), 4393–4405 (2011)CrossRef
24.
Kerkhofs, J., Roberts, S.J., Luyten, F.P., Van Oosterwyck, H., Geris, L.: Relating the chondrocyte gene network to growth plate morphology: from genes to phenotype. PLoS ONE 7(4), e34729 (2012)CrossRef
25.
Geris, L., Van Liedekerke, P., Smeets, B., Tijskens, E., Ramon, H.: A cell based modelling framework for skeletal tissue engineering applications. J. Biomech. 43(5), 887–892 (2010)CrossRef
26.
Peiffer, V., Gerisch, A., Vandepitte, D., Van Oosterwyck, H., Geris, L.: A hybrid bioregulatory model of angiogenesis during bone fracture healing. Biomech. Model. Mechanobiol. 10(3), 383–395 (2011)CrossRef
27.
Carlier, A., Chai, Y.C., Moesen, M., Theys, T., Schrooten, J., Van Oosterwyck, H., Geris, L.: Designing optimal calcium phosphate scaffold-cell combinations using an integrative model based approach. Acta Biomater. 7(10), 3573–3585 (2011)CrossRef
28.
Geris, L., Ashbourn, J.M.A., Clarke, T.: Continuum-level modelling of cellular adhesion and matrix production in aggregates. Comput. Method Biomech. Biomed. Eng. 14(5), 403–410 (2011)CrossRef
29.
Geris, L., Gerisch, A., Vander Sloten, J., Weiner, R., Van Oosterwyck, H.: Angiogenesis in bone fracture healing: a bioregulatory model. J. Theor. Biol. 251(1), 137–158 (2008)CrossRef
30.
Geris, L., Vander Sloten, J., Van Oosterwyck, H.: Connecting biology and mechanics in fracture healing: an integrated mathematical modeling framework for the study of nonunions. Biomech. Model. Mechanobiol. 9(6), 713–724 (2010)CrossRef
31.
Israelowitz, M., Rizvi, S.W.H., Weyand, B., Gille, C., von Schroeder, H.P.: Protein modeling and surface folding by limiting the degrees of freedom (2012). doi:10.​1007/​8415_​2012_​141
32.
33.
Lambrechts, D., Schrooten, J., Van de Putte, T., Van Oosterwyck, H.: Computational modeling of mass transport and its relation to cell behavior in tissue engineering constructs (2012). doi:10.​1007/​8415_​2012_​139
34.
35.
Song, M.J., Dean, D., Knothe Tate, M.L.: Computational modeling of tissue engineering scaffolds as delivery devices for mechanical and mechanically modulated signals (2012). doi:10.​1007/​8415_​2012_​138
36.
Cincotti, A., Fadda, S.: Modeling the cryopreservation process of a suspension of cells: the effect of a size distributed cell population (2012). doi:10.​1007/​8415_​2012_​134
37.
38.
Sasaki, H., Matsuoka, F., Yamamoto, W., Kojima, K., Honda, H., Kato, R.: Image-based cell quality assessment: modeling of cell morphology and quality for clinical cell therapy (2012). doi:10.​1007/​8415_​2012_​132
39.
Geris, L., Reed, A.A., Vander Sloten, J., Simpson, A.H., Van Oosterwyck, H.: Occurrence and treatment of bone atrophic non-unions investigated by an integrative approach. PLoS Comput. Biol. 6(9), e1000915 (2010)CrossRef
40.
Karim, M.N., Hodge, D., Simon, L.: Data-based modeling and analysis of bioprocesses: some real experiences. Biotechnol. Prog. 19(5), 1591–1605 (2003)CrossRef
41.
Wendt, D., Riboldi, S.A., Cioffi, M., Martin, I.: Potential and bottlenecks of bioreactors in 3D cell culture and tissue manufacturing. Adv. Mater. 21(32–33), 3352–3367 (2009)CrossRef
42.
Camacho, E.F., Bordons, C.: Model Predictive Control. Springer-Verlag, London (1999)CrossRef
43.
Young, P.: Data-based mechanistic modeling, generalised sensitivity and dominant mode analysis. Comput. Phys. Commun. 117, 113–129 (1999)CrossRef
44.
Moore, B.C.: Principal component analysis in linear systems: controllability, observability and model reduction. IEEE Trans. Autom. Control 26(1), 17–32 (1981)MATHCrossRef
45.
Huang, Z., Chu, Y., Hahn, J.: Model simplification procedure for signal transduction pathway models: an application to IL-6 signaling. Chem. Eng. Sci. 65(6), 1964–1975 (2010)CrossRef
46.
47.
48.
49.
50.
Geris, L., Vander Sloten, J., Van Oosterwyck, H.: In silico biology of bone modeling and remodeling—regeneration. Philos. Trans. R. Soc. A 367(1895), 2031–2053 (2009)CrossRef
51.
Nagel, T., Kelly, D.J.: Computational mechanobiology in cartilage and bone tissue engineering: from cell phenotype to tissue structure (2012). doi:10.​1007/​8415_​2012_​131
52.
Reina-Roma, E., Valero, C., Borau, C., Rey, R., Javierre, E., Gomez-Benito, M.J., Dominguez, J., Garcia-Aznar, J.M.: Mechanobiological modelling of angiogenesis impact on tissue engineering and bone regeneration (2012). doi:10.​1007/​8415_​2011_​111
53.
54.
55.
56.
57.
Faratian, D., Goltsov, A., Lebedeva, G., Sorokin, A., Moodie, S., Mullen, P., Kay, C., Um, I.H., Langdon, S., Goryanin, I., Harrison, D.J.: Systems biology reveals new strategies for personalizing cancer medicine and confirms the role of PTEN in resistance to trastuzumab. Cancer Res. 69(16), 6713–6720 (2009)CrossRef
58.
Edelman, L.B., Eddy, J.A., Price, N.D.: In silico models of cancer. Wiley Interdiscip. Rev. Syst. Biol. Med. 2(4), 438–459 (2010)CrossRef
59.
von Dassow, G., Meir, E., Munro, E.M., Odell, G.M.: The segment polarity network is a robust developmental module. Nature 406(6792), 188–192 (2000)CrossRef
60.
Von Dassow, G., Odell, G.M.: Design and constraints of the Drosophila segment polarity module: robust spatial patterning emerges from intertwined cell state switches. J. Exp. Zool. 294(3), 179–215 (2002)CrossRef
61.
Eldar, A., Dorfman, R., Weiss, D., Ashe, H., Shilo, B.Z., Barkai, N.: Robustness of the BMP morphogen gradient in Drosophila embryonic patterning. Nature 419(6904), 304–308 (2002)CrossRef
62.
Tsai, T.Y., Choi, Y.S., Ma, W., Pomerening, J.R., Tang, C., Ferrell Jr, J.E.: Robust, tunable biological oscillations from interlinked positive and negative feedback loops. Science 321(5885), 126–129 (2008)CrossRef
63.
Faller, D., Klingmuller, U., Timmer, J.: Simulation methods for optimal experimental design in systems biology. Simulation 79, 717–725 (2003)CrossRef
64.
Zak, D.E., Gonye, G.E., Schwaber, J.S., Doyle III, F.J.: Importance of input perturbations and stochastic gene expression in the reverse engineering of genetic regulatory networks: insights from an identifiability analysis of an in silico network. Genome Res. 13, 2396–2405 (2003)CrossRef
65.
Gadkar, K.G., Varner, J., Doyle III, F.J.: Model identification of signal transduction networks from data using a state regulator problem. IEEE Syst. Biol. 2, 17–30 (2005)CrossRef
66.
Geris, L., Gerisch, A., Maes, C., Van Oosterwyck, H., Carmeliet, G., Weiner, R., Vander Sloten, J.: Mathematical modeling of fracture healing in mice: comparison between experimental data and numerical simulation results. Med. Biol. Eng. Comput. 44(4), 280–289 (2006)CrossRef
67.
Isaksson, H., van Donkelaar, C.C., Huiskes, R., Yao, J., Ito, K.: Determining the most important cellular characteristics for fracture healing using design of experiments methods. J. Theor. Biol. 255(1), 26–39 (2009)CrossRef
68.
Cumming, G., Fidler, F., Vaux, D.L.: Error bars in experimental biology. J. Cell Biol. 177, 7–11 (2007)CrossRef
69.
Brown, K.S., Sethna, J.P.: Statistical mechanical approaches to models with many poorly known parameters. Phys. Rev. E 68, 021904 (2003)CrossRef
70.
Brown, K.S., Hill, C.C., Calero, G.A., Myers, C.R., Lee, K.H., et al.: The statistical mechanics of complex signaling networks: nerve growth factor signaling. Phys. Biol. 1, 184–195 (2004)CrossRef
71.
Brodersen, R., Nielsen, F., Christiansen, J.C., Andersen, K.: Characterization of binding equilibrium data by a variety of fitted isotherms. Eur. J. Biochem. 169, 487–495 (1987)CrossRef
72.
Gutenkunst, R.N., Waterfall, J.J., Casey, F.P., Brown, K.S., Myers, C.R., Sethna, J.P.: Universally sloppy parameter sensitivities in systems biology models. PLoS Comput. Biol. 3(10), 1871–1878 (2007)MathSciNetCrossRef
73.
Gutenkunst, R.N., Casey, F.P., Waterfall, J.J., Myers, C.R., Sethna, J.P.: Extracting falsifiable predictions from sloppy models. Ann. N. Y. Acad. Sci. 1115, 203–211 (2007)CrossRef
74.
Ashbourn, J.M., Miller, J.J., Reumers, V., Baekelandt, V., Geris, L.: A mathematical model of adult subventricular neurogenesis. J. R. Soc. Interface (2012). doi:10.​1098/​rsif.​2012.​0193
75.
Daniels, B.C., Chen, Y.J., Sethna, J.P., Gutenkunst, R.N., Myers, C.R.: Sloppiness, robustness, and evolvability in systems biology. Curr. Opin. Biotechnol. 19(4), 389–395 (2008)CrossRef
76.
Casey, F.P., Baird, D., Feng, Q., Gutenkunst, R.N., Waterfall, J.J., et al.: Optimal experimental design in an epidermal growth factor receptor signalling and down-regulation model. IET Syst. Biol. 1, 190–202 (2007)CrossRef
Metadaten
Titel
In Vivo, In Vitro, In Silico: Computational Tools for Product and Process Design in Tissue Engineering
verfasst von
Liesbet Geris
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Computational Modeling in Tissue Engineering

Print ISBN: 978-3-642-32562-5

Electronic ISBN: 978-3-642-32563-2

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/8415_2012_144

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