Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces
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 ass...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Royal Society of Chemistry
2014
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| Online Access: | http://hdl.handle.net/1721.1/91142 https://orcid.org/0000-0001-5629-4798 https://orcid.org/0000-0003-4255-0492 |
| _version_ | 1811093079595155456 |
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| author | 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 |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology 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 |
| author_sort | Epa, V. Chandana |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T15:39:22Z |
| format | Article |
| id | mit-1721.1/91142 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:39:22Z |
| publishDate | 2014 |
| publisher | Royal Society of Chemistry |
| record_format | dspace |
| spelling | mit-1721.1/911422022-10-02T03:09:17Z Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces 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 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 Mei, Ying Langer, Robert Anderson, Daniel Griffith 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. 2014-10-21T19:29:00Z 2014-10-21T19:29:00Z 2012-08 2012-07 Article http://purl.org/eprint/type/JournalArticle 0959-9428 1364-5501 http://hdl.handle.net/1721.1/91142 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. https://orcid.org/0000-0001-5629-4798 https://orcid.org/0000-0003-4255-0492 en_US http://dx.doi.org/10.1039/c2jm34782b Journal of Materials Chemistry Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Royal Society of Chemistry PMC |
| spellingShingle | 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 Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title | Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title_full | Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title_fullStr | Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title_full_unstemmed | Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title_short | Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title_sort | modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| url | http://hdl.handle.net/1721.1/91142 https://orcid.org/0000-0001-5629-4798 https://orcid.org/0000-0003-4255-0492 |
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