89-91 - Polskie Stowarzyszenie Biomateriałów

260 provided time and cost savings that increased sharply with
the number of polymers synthesized [7].
Once hundreds of polymers have been synthesized
and worked up, the next major task is to characterize their
physicomechanical or biological properties. While a number
of high-throughput methods exist for the exploration of
physicomechanical properties, we could not find any highthroughput
methodologies for the exploration of biological
polymer properties such as protein adsorption, cell attachment,
or cell growth on flat polymer films within a given tissue
culture medium. Over the last few years, we developed
several such methods, including a high throughput assay for
protein adsorption,8 bioactive surface gradients to control
cell adhesion [9], high-content imaging techniques to characterize
cell responses on polymeric substrates [10], and the
development of combinatorial polymer scaffold libraries for
the screening of cell-biomaterial interactions in 3D [11].
conclusion
The fields of Tissue Engineering and Regenerative Medicine
require tissue scaffolds that are made of degradable
biomaterials that can induce specific cellular responses.
Examples of such specific cell responses are the growth of
selected cell types, the differentiation of stem cells along a
predetermined lineage, or the absence of any cell attachment
when non-adhesive surfaces are needed. To create
such tissue scaffolds, a new generation of bioactive biomaterials
is required. Progress in discovering such materials has
been slow - probably because of the complex interactions
between material composition, surface properties, protein
adsorption, and cellular responses. The combinatorial-computational
method offers a framework for the rapid optimization
of new biomaterials for specific applications. So far, this
method has been used in several commercial biomaterials
development projects and has resulted in the introduction
of novel polymeric biomaterials into clinical use.
references
[1]. kholodovych V, Gubskaya AV, Bohrer M, Harris N, knight D,
kohn J, Welsh WJ. Prediction of biological response for large combinatorial
libraries of biodegradable polymers: polymethacrylates
as a test case. Polymer 2008;49:2435-2439.
[2]. kohn J, Welsh WJ, knight D. A new approach to the rationale
discovery of polymeric biomaterials. Biomaterials 2007;28:4171-
4177.
[3]. Gubskaya AV, kholodovych V, knight D, kohn J, Welsh WJ.
Prediction of fibrinogen adsorption for biodegradable polymers:
Integration of molecular dynamics and surrogate modeling. Polymer
2007;48:5788-5801.
[4]. Smith JR, kholodovych V, knight D, Welsh WJ, kohn J. QSAR
models for the analysis of bioresponse data from combinatorial
libraries of polymers. QSAR Comb. Sci. 2005;24:99-113.
[5]. Bourke SL, kohn J. Polymers derived from the amino acid
L-tyrosine: Polycarbonates, polyarylates and copolymers with
poly(ethyleneglycol). Adv. Drug Del. Rev. 2003;55(4):447-466.
[6]. Brocchini S, James k, Tangpasuthadol V, kohn J. A combinatorial
approach for polymer design. J. Amer. Chem. Soc.
1997;119(19):4553-4554.
[7]. Rojas R, Harris Nk, Piotrowska k, kohn J. Evaluation of automated
synthesis for chain and step-growth polymerizations: Can
robots replace the chemists. J Polym Sci: Part A: Polym Chem
2009;47(1):49-58.
[8]. Weber N, Bolikal D, Bourke S, kohn J. A new method for rapid
screening of adsorbed proteins and attached cells on multiple
polymers. 2003 April 30 - May 3, 2003; Reno, Nevada. Society for
Biomaterials. p 28.
[9]. Becker ML, Gallant N, Henderson L, Amis EJ. Bioactive
surface gradients to control cell adhesion. Polym. Preprints
2005;46(2):1214.
[10]. Liu E, Treiser MD, Patel H, Sung H-J, Roskov kE, kohn J,
Becker ML, Moghe PV. High-content profiling of cell responsiveness
to graded substrates based on combinatorially variant polymers.
Comb. Chem. High Throughput Screen. 2009;12:646-655.
[11]. yang y, Bolikal D, Becker ML, kohn J, Simon CG. Combinatorial
polymer scaffold libraries for screening cell-biomaterial
interactions in 3D. Adv. Mater. 2008;20:2037-2043.