Dataset for "Predicting Ligand-Free Cell Attachment on Next Generation Cellulose-Chitosan Hydrogels"
There is a growing appreciation that engineered biointerfaces can regulate cell behaviors, or functions. Most systems aim to mimic the cell-friendly extracellular matrix environment and incorporate protein ligands; however, the understanding of how a ligand-free system can achieve this is limited. Cell scaffold materials comprised of interfused chitosan–cellulose hydrogels promote cell attachment in ligand-free systems, and these data were used to demonstrate the role of cellulose molecular weight (MW) and chitosan content and MW in controlling material properties and thus regulating cell attachment.
Included are the data used for determining gel shear moduli; data used in cell attachment regression models and for determining average cell attachment; combined DAPI and FITC images of 24 hour cell morphology studies; data used for determining median cell aspect ratio, cell aspect ratio distribution, and median cell area; UV-vis adsorbance data; confocal microscopy data used for calculating chitosan penetration into cellulose gels; FTIR spectra data and fitted curves; scanning probe microscopy data used for determining gel surface roughness and capacitive coupling; and measurements of chitosan MW and gel surface zeta-potential.
Cite this dataset as:
Johns, M.,
Bae, Y.,
Guimarães, F.,
Lanzoni, E.,
Costa, C.,
Deneke, C.,
Galembeck, F.,
Scott, J.,
Sharma, R.,
2018.
Dataset for "Predicting Ligand-Free Cell Attachment on Next Generation Cellulose-Chitosan Hydrogels".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00400.
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Data
BATH-00400.zip
application/zip (137MB)
Creative Commons: Attribution 4.0
Creators
Marcus Johns
University of Bath
Yong Ho Bae
University at Buffalo, State University of New York
Francisco Guimarães
University of São Paulo
Evandro M. Lanzoni
Brazilian National Laboratory of Nanotechnology; São Paulo State University
Carlos A. Costa
Brazilian National Laboratory of Nanotechnology
Christoph Deneke
Brazilian National Laboratory of Nanotechnology; State University of Campinas
Fernando Galembeck
Brazilian National Laboratory of Nanotechnology;
Janet L Scott
University of Bath
Ram Sharma
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Methodology link:
Johns, M. A., Bae, Y., Guimarães, F. E. G., Lanzoni, E. M., Costa, C. A. R., Murray, P. M., Deneke, C., Galembeck, F., Scott, J. L., and Sharma, R. I., 2018. Predicting Ligand-Free Cell Attachment on Next-Generation Cellulose–Chitosan Hydrogels. ACS Omega, 3(1), 937-945. Available from: https://doi.org/10.1021/acsomega.7b01583.
Documentation Files
DataDocumentation.txt
text/plain (25kB)
Creative Commons: Attribution 4.0
Funders
Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266
Doctoral Training Centre in Sustainable Chemical Technologies
EP/G03768X/1
Publication details
Publication date: 25 January 2018
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-00400
URL for this record: https://researchdata.bath.ac.uk/id/eprint/400
Related papers and books
Johns, M. A., Bae, Y., Guimarães, F. E. G., Lanzoni, E. M., Costa, C. A. R., Murray, P. M., Deneke, C., Galembeck, F., Scott, J. L., and Sharma, R. I., 2018. Predicting Ligand-Free Cell Attachment on Next-Generation Cellulose–Chitosan Hydrogels. ACS Omega, 3(1), 937-945. Available from: https://doi.org/10.1021/acsomega.7b01583.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Marcus Johns
Faculty of Engineering & Design
Chemical Engineering
Faculty of Science
Chemistry