Issue 39, 2012

Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces

Abstract

Designing materials to control biology is an intense focus of biomaterials and regenerative medicine research. Discovering and designing materials with appropriate biological compatibility or active control of cells and tissues is being increasingly undertaken using high throughput synthesis and assessment methods. We report a relatively simple but powerful machine-learning method of generating models that link microscopic or molecular properties of polymers or other materials to their biological effects. We illustrate the potential of these methods by developing the first robust, predictive, quantitative, and purely computational models of adhesion of human embryonic stem cell embryoid bodies (hEB) to the surfaces of a 496-member polymer micro array library.

Graphical abstract: Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces

Article information

Article type
Paper
Submitted
20 Jul 2012
Accepted
23 Aug 2012
First published
24 Aug 2012

J. Mater. Chem., 2012,22, 20902-20906

Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces

V. C. Epa, J. Yang, Y. Mei, A. L. Hook, R. Langer, D. G. Anderson, M. C. Davies, M. R. Alexander and D. A. Winkler, J. Mater. Chem., 2012, 22, 20902 DOI: 10.1039/C2JM34782B

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