Complementary, Semi-automated Methods for Creating Multi-dimensional, PEG-based Biomaterials

Department

Computer Science

Document Type

Article

Publication Title

Biomaterials Science & Engineering

ISSN

2373-9878

DOI

10.1021/acsbiomaterials.7b00737

First Page

707

Last Page

718

Publication Date

Spring 1-1-2018

Abstract

Tunable biomaterials that mimic selected features of the extracellular matrix (ECM) such as its stiffness, protein composition, and dimensionality are increasingly popular for studying how cells sense and respond to ECM cues. In the field, there exists a significant trade-off for how complex and how well these biomaterials represent the in vivo microenvironment versus how easy they are to make and how adaptable they are to automated fabrication techniques. To address this need to integrate more complex biomaterials design with high-throughput screening approaches, we present several methods to fabricate synthetic biomaterials in 96-well plates and demonstrate that they can be adapted to semiautomated liquid handling robotics. These platforms include (1) glass bottom plates with covalently attached ECM proteins and (2) hydrogels with tunable stiffness and protein composition with either cells seeded on the surface or (3) laden within the three-dimensional hydrogel matrix. This study includes proof-of-concept results demonstrating control over breast cancer cell line phenotypes via these ECM cues in a semiautomated fashion. We foresee the use of these methods as a mechanism to bridge the gap between high-throughput cell-matrix screening and engineered ECM-mimicking biomaterials.

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