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ACS Appl Mater Interfaces. 2018 Nov 14;10(45):38739-38748. doi: 10.1021/acsami.8b12473. Epub 2018 Nov 5.

High-Throughput Assessment and Modeling of a Polymer Library Regulating Human Dental Pulp-Derived Stem Cell Behavior.

Author information

1
ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Future Industries Institute , University of South Australia , Mawson Lakes , South Australia 5095 , Australia.
2
Manufacturing , Commonwealth Scientific and Industrial Research Organization (CSIRO) , Clayton , Victoria 3168 , Australia.
3
Adelaide Medical School, Faculty of Health and Medical Sciences , University of Adelaide , Adelaide , South Australia 5005 , Australia.
4
Advanced Materials and Healthcare Technologies , University of Nottingham , Nottingham NG7 2RD , U.K.
5
Biochemistry and Genetics, La Trobe Institute for Molecular Science , La Trobe University , Bundoora , Victoria 3086 , Australia.
6
Victorian Node of the Australian National Fabrication Facility , Melbourne Centre for Nanofabrication , Clayton , Victoria 3168 , Australia.

Abstract

The identification of biomaterials that modulate cell responses is a crucial task for tissue engineering and cell therapy. The identification of novel materials is complicated by the immense number of synthesizable polymers and the time required for testing each material experimentally. In the current study, polymeric biomaterial-cell interactions were assessed rapidly using a microarray format. The attachment, proliferation, and differentiation of human dental pulp stem cells (hDPSCs) were investigated on 141 homopolymers and 400 diverse copolymers. The copolymer of isooctyl acrylate and 2-(methacryloyloxy)ethyl acetoacetate achieved the highest attachment and proliferation of hDPSC, whereas high cell attachment and differentiation of hDPSC were observed on the copolymer of isooctyl acrylate and trimethylolpropane ethoxylate triacrylate. Computational models were generated, relating polymer properties to cellular responses. These models could accurately predict cell behavior for up to 95% of materials within a test set. The models identified several functional groups as being important for supporting specific cell responses. In particular, oxygen-containing chemical moieties, including fragments from the acrylate/acrylamide backbone of the polymers, promoted cell attachment. Small hydrocarbon fragments originating from polymer pendant groups promoted cell proliferation and differentiation. These computational models constitute a key tool to direct the discovery of novel materials within the enormous chemical space available to researchers.

KEYWORDS:

biomaterials; high-throughput screening; microarray; quantitative structure‚ąíproperty relationships modelling; regenerative medicine

PMID:
30351898
DOI:
10.1021/acsami.8b12473

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