Quantifying the role of different surface coatings in experimental models of wound healing

, Lo, Kai Yin, Sun, Yung Shin, Ting, Ya Han, & (2020) Quantifying the role of different surface coatings in experimental models of wound healing. Chemical Engineering Science, 220, Article number: 115609.

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Description

In vitro surface coatings are widely used to mimic the role of extracellular matrix in the invivo environment. Different effects are reported for different surface coatings, however, some of these results are inconsistent across the literature. To explore the role of different surface coatings, we use a new modified stopper-based wound-healing assay, called a stopper assay, with two commonly used surface coatings: gelatin and poly-L-lysine (PLL). Our experimental data shows the gap width decreases faster with the gelatin and PLL coatings. Similarly, the number of cells in certain subregions increases faster with these coatings. Unfortunately, neither of these observations provides definitive mechanistic insight into the role of the coatings. To provide such insight we calibrate the solution of the Fisher-Kolmogorov model to match the experimental data. Our parameter estimates indicate that both coatings significantly increase cell motility without affecting cell proliferation.

Impact and interest:

5 citations in Scopus
3 citations in Web of Science®
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ID Code: 232596
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Jin, Wangorcid.org/0000-0002-4251-2173
Simpson, Matthew J.orcid.org/0000-0001-6254-313X
Additional Information: Funding Information: We are supported by the Australian Research Council ( DP170100474 ) and the Taiwan Ministry of Science and Technology (MOST 106-2313-B-002-031-MY3 , MOST 107-2221-E-030-001-MY2 ). Wang Jin is supported by a QUT Vice Chancellor’s Research Fellowship. We thank two reviewers for their helpful comments.
Measurements or Duration: 8 pages
Keywords: Fisher-Kolmogorov, Reaction-diffusion, Stopper assay, Surface coating, Transport, Wound healing assay
DOI: 10.1016/j.ces.2020.115609
ISSN: 0009-2509
Pure ID: 111455980
Divisions: Past > QUT Faculties & Divisions > Science & Engineering Faculty
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Funding Information: We are supported by the Australian Research Council ( DP170100474 ) and the Taiwan Ministry of Science and Technology (MOST 106-2313-B-002-031-MY3 , MOST 107-2221-E-030-001-MY2 ). Wang Jin is supported by a QUT Vice Chancellor’s Research Fellowship. We thank two reviewers for their helpful comments.
Funding:
Copyright Owner: 2020 Elsevier Ltd
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Deposited On: 16 Jun 2022 01:59
Last Modified: 08 Jul 2024 10:37