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Research Data Supporting "Evaluation of Cell Binding to Collagen and Gelatin: A Study of the Effect of 2D and 3D Architecture and Surface Chemistry"


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Authors

Davidenko, Natalia 
Schuster, Carlos F. 
Bax, Daniel V. 
Farndale, Richard W. 
Hamaia, Samir W. 

Description

The zipped folder called “Raw data for cell article” contains 7 files as described below: Article title: “Evaluation of Cell Binding to Collagen and Gelatin: A Study of the Effect of 2D and 3D Architecture and Surface Chemistry”, accepted in Journal of Materials Science: Materials in Medicine. Authors: Natalia Davidenko, Carlos F. Schuster, Daniel V. Bax, Richard W. Farndale, Samir W. Hamaia, Serena M. Best, Ruth E. Cameron. File cold “Fig3n” contains raw data of percentage of adhesion values of HT1080 and Rugli cells on surfaces of different compositions as a function of initial cell concentration (showed in Fig 3). Files “Fig4n” and “Fig4s” contain raw data of magnesium-dependent, non-specific and integrin mediated adhesion profiles of different cell lines on treated surfaces (showed in Fig.4). File “Fig5n” contains results of spreading studies collected in Fig 5. File “Fig6n”contains results cell adhesion on films with different composition and crosslinked status (showed in Fig.6). File “Fig7n” contains results of the percentage of adhesion of HT1080, Rugli, C2C12 and L3 cells on 100% EDC-XL scaffolds of different compositions (collected in Fig. 7). Files “Fig8n” contains results of the effect of crosslinking on the adhesion of cells expressing Col-binding integrins (HT1080 and Rugli) on Col scaffold (Fig8).

Version

Software / Usage instructions

WinZip, Excel, Word

Keywords

tissue engineering, cell adhesion, integrins, collagen, gelatin

Publisher

University of Cambridge
Sponsorship
British Heart Foundation [NH/11/1/28922] British Heart Foundation [RG/15/4/31268] British Heart Foundation [SP/15/7/31561] Wellcome Trust [094470/Z/10/Z] ERC [Advanced Grant 320598 3D-E] EPSRC Doctoral Training Account Peoples Programme of the EU 7th Framework Programme [RAE no: PIIF-GA-2013-624904] EPSRC IKC Proof of Concept Award
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