Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces
Name
Anderson_Modelling human.pdf
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463.08 KB
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Checksum (MD5)
dc91c55123fbf6a7269afdc4a6a0ee5e
Author(s)
Epa, V. Chandana
Yang, Jing
Mei, Ying
Hook, Andrew L.
Davies, Martyn C.
Alexander, Morgan R.
Winkler, David A.
Anderson, Daniel Griffith
Langer, Robert S
Date Issued
August 2012
Journal
Journal of Materials Chemistry
Publisher
Royal Society of Chemistry
Citation
Epa, V. Chandana, Jing Yang, Ying Mei, Andrew L. Hook, Robert Langer, Daniel G. Anderson, Martyn C. Davies, Morgan R. Alexander, and David A. Winkler. “Modelling Human Embryoid Body Cell Adhesion to a Combinatorial Library of Polymer Surfaces.” J. Mater. Chem. 22, no. 39 (2012): 20902.
Version
Author's final manuscript
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.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Chemical Engineering
Koch Institute for Integrative Cancer Research at MIT
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1039/c2jm34782b
