Chemically diverse polymer microarrays and high throughput surface characterisation: a method for discovery of materials for stem cell culture
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Celiz-2014-Chemically diverse.pdf
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2.92 MB
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Author(s)
Celiz, A. D.
Smith, J. G. W.
Patel, A. K.
Anderson, Daniel Griffith
Barrett, D. A.
Young, L. E.
Davies, Martyn C.
Denning, C.
Alexander, Morgan R.
Langer, Robert S
Date Issued
May 2014
Journal
Biomaterials Science
Publisher
Royal Society of Chemistry
Citation
Celiz, A. D., J. G. W. Smith, A. K. Patel, R. Langer, D. G. Anderson, D. A. Barrett, L. E. Young, M. C. Davies, C. Denning, and M. R. Alexander. “Chemically Diverse Polymer Microarrays and High Throughput Surface Characterisation: a Method for Discovery of Materials for Stem Cell Culture.” Biomater. Sci. 2, no. 11 (2014): 1604–1611.
Version
Final published version
Abstract
Materials discovery provides the opportunity to identify novel materials that are tailored to complex biological environments by using combinatorial mixing of monomers to form large libraries of polymers as micro arrays. The materials discovery approach is predicated on the use of the largest chemical diversity possible, yet previous studies into human pluripotent stem cell (hPSC) response to polymer microarrays have been limited to 20 or so different monomer identities in each study. Here we show that it is possible to print and assess cell adhesion of 141 different monomers in a microarray format. This provides access to the largest chemical space to date, allowing us to meet the regenerative medicine challenge to provide scalable synthetic culture ware. This study identifies new materials suitable for hPSC expansion that could not have been predicted from previous knowledge of cell-material interactions.
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
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DOI of Published Version
https://doi.org/10.1039/c4bm00054d
