| AVS 56th International Symposium & Exhibition | |
| Biomaterial Interfaces | Monday Sessions |
| Session BI-MoA |
| Session: | Protein and Cell Interactions at Interfaces I |
| Presenter: | J. Yang, The University of Nottingham, UK |
| Authors: | M.R. Alexander, The University of Nottingham, UK J. Yang, The University of Nottingham, UK M.C. Davies, The University of Nottingham, UK Y. Mei, MIT D.G. Anderson, MIT R.S. Langer, MIT M. Taylor, The University of Nottingham, UK A.J. Urquhart, The University of Nottingham, UK |
| Correspondent: | Click to Email |
The relationship between the surface chemistry of materials and human cellular response has great importance in existing and emerging technology areas such as tissue engineering, regenerative medicine and biosensors. Here, we investigate hESC attachment, surface chemistry (using time of flight secondary ion mass spectrometry (ToF SIMS) and XPS) and bulk properties (using confocal Raman spectroscopy) of a large set of samples with diverse chemistry. These are acrylate polymers in the form of micro-spots in an array made from 22 different acrylate monomers mixed pairwise in different proportions and UV photopolymerised to give 496 unique homo- and co-polymers.[1, 2] We do not find a correlation between the human embryonic stem (hES) cell number and wettability, or surface elemental or functional composition that holds for all the samples on the array. In contrast, surface mass spectrometric data acquired using ToF SIMS correlate strongly with cell attachment on all polymers using partial least squares (PLS) regression. The ability to predict cell attachment using the SIMS data indicated that it contains sufficient information on the surface chemistry of the polymers to describe the effect of surface chemistry on cell attachment. Some of the moieties identified using this approach are consistent with previous theories relating surface chemistry on protein adsorption and in turn to cell adhesion, whereas others are new.
We propose that in the field of cell-material interactions, this result highlights the importance of the molecular information contained in the SIMS spectra in controlling the cell attachment. Furthermore, it indicates how the PLS methodology can be used to identify the relationship between surface chemical moieties represented within the SIMS spectra to complex properties such as cellular response.
[1] D.G. Anderson, S. Levenberg, R. Langer, Nature Biotechnology, 2004, 22, 863-866.
[2] M. Taylor, A.J. Urquhart, D.G. Anderson, R. Langer, M.C. Davies, M.R. Alexander, Surface and Interface Analysis, 2009, 41, 127-135.