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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/53934
Title: Novel Analytical Platform For Robust Identification of Cell Migration Inhibitors
Authors: Parinyachat Somchai
Kriengkrai Phongkitkarun
Patipark Kueanjinda
Supawan Jamnongsong
Kulthida Vaeteewoottacharn
Vor Luvira
Seiji Okada
Siwanon Jirawatnotai
Somponnat Sampattavanich
Faculty of Medicine, Khon Kaen University
Kumamoto University
Mahidol University
Faculty of Medicine, Siriraj Hospital, Mahidol University
Keywords: Multidisciplinary
Issue Date: 1-Dec-2020
Citation: Scientific Reports. Vol.10, No.1 (2020)
Abstract: © 2020, The Author(s). Wound healing assay is a simple and cost-effective in vitro assay for assessing therapeutic impacts on cell migration. Its key limitation is the possible confoundment by other cellular phenotypes, causing misinterpretation of the experimental outcome. In this study, we attempted to address this problem by developing a simple analytical approach for scoring therapeutic influences on both cell migration and cell death, while normalizing the influence of cell growth using Mitomycin C pre-treatment. By carefully mapping the relationship between cell death and wound closure rate, contribution of cell death and cell migration on the observed wound closure delay can be quantitatively separated at all drug dosing. We showed that both intrinsic cell motility difference and extrinsic factors such as cell seeding density can significantly affect final interpretation of therapeutic impacts on cellular phenotypes. Such discrepancy can be rectified by using the actual wound closure time of each treatment condition for the calculation of phenotypic scores. Finally, we demonstrated a screen for strong pharmaceutical inhibitors of cell migration in cholangiocarcinoma cell lines. Our approach enables accurate scoring of both migrastatic and cytotoxic effects, and can be easily implemented for high-throughput drug screening.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/53934
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078168908&origin=inward
ISSN: 20452322
Appears in Collections:Scopus 2020

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