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Data for Combinatorial biomaterials discovery strategy to identify new macromolecular cryoprotectants
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Stubbs, Christopher D., Murray, Kathryn, Ishibe, Toru, Mathers, Robert T. and Gibson, Matthew I. (2020) Data for Combinatorial biomaterials discovery strategy to identify new macromolecular cryoprotectants. [Dataset]
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WRAP.zip - Published Version Available under License Creative Commons Attribution 4.0. Download (6Mb) |
Abstract
Cryoprotective agents (CPAs) are typically solvents or small molecules, but there is a need for innovative CPAs to reduce toxicity and increase cell yield, for the banking and transport of cells. Here we use a photochemical high-throughput discovery platform to identify macromolecular cryoprotectants, as rational design approaches are currently limited by the lack of structure–property relationships. Using liquid handling systems, 120 unique polyampholytes were synthesized using photopolymerization with RAFT agents. Cryopreservation screening identified “hit” polymers and nonlinear trends between composition and function, highlighting the requirement for screening, with polymer aggregation being a key factor. The most active polymers reduced the volume of dimethyl sulfoxide (DMSO) required to cryopreserve a nucleated cell line, demonstrating the potential of this approach to identify materials for cell storage and transport.
| Item Type: | Dataset | |||||||||||||||
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| Subjects: | Q Science > QD Chemistry | |||||||||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Chemistry | |||||||||||||||
| Type of Data: | Experimental data | |||||||||||||||
| Library of Congress Subject Headings (LCSH): | Cryochemistry, Combinatorial chemistry, Polyampholytes | |||||||||||||||
| Publisher: | University of Warwick, Department of Chemistry | |||||||||||||||
| Official Date: | 5 May 2020 | |||||||||||||||
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| Status: | Not Peer Reviewed | |||||||||||||||
| Publication Status: | Published | |||||||||||||||
| Media of Output (format): | .xlsx .txt .rtf .temp .output .info .par .pdf .xml | |||||||||||||||
| Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||
| Copyright Holders: | University of Warwick | |||||||||||||||
| Description: | Data record consists of a zip archive containing 7 subfolders and an index file for the data. Subfolders are organised and named according to the corresponding experiment in the related publication. All data files are in .xlsx format. Further information on the data can be found in the excel files containing the data themselves. |
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| Date of first compliant deposit: | 5 May 2020 | |||||||||||||||
| Date of first compliant Open Access: | 5 May 2020 | |||||||||||||||
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