Volume 13, Issue 11 e202000238
FULL ARTICLE

Unveiling dose- and time-dependent osteosarcoma cell responses to the γ-secretase inhibitor, DAPT, by confocal Raman microscopy

Jie Li

Jie Li

Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi, China

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Jie Qin

Jie Qin

Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China

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Haishan Zeng

Haishan Zeng

Imaging Unit–Integrative Oncology Department, BC Cancer Research Center, Vancouver, BC, Canada

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Jing Li

Jing Li

Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China

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Kaige Wang

Kaige Wang

Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi, China

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Shuang Wang

Corresponding Author

Shuang Wang

Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi, China

Correspondence

Dr Shuang Wang, Associate Professor, Institute of Photonics and Photon-technology, Northwest University, #229 North Taibai Road, Xi'an, Shaanxi710069, China.

Email: [email protected]

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First published: 22 July 2020
Citations: 8

Kie Li and Jie Qin contributed equally to this study.

Funding information: National Natural Science Foundation of China, Grant/Award Number: 61911530695; Natural Science Foundation of Shaanxi Province, Grant/Award Number: 2016ZDJC-15 S2018-ZC-TD-0061

Abstract

Using confocal Raman micro-spectroscopy, this study aims to elucidate the cellular responses of the γ-secretase inhibitor, N-[N-(3,5-difluorophenacetyl)-L-alanyl]-S-phenylglycine t-butyl ester (DAPT), in osteosarcoma (OS) cells in a dose- and time-dependent manner. The K7M2 murine OS cell line was treated with different DAPT doses (0, 10, 20, and 40 μM) for 24 and 48 hours before investigations. Significant compositional changes (nucleic acids, protein and lipid) after DAPT treatment were addressed, which testified inhibitory effect of DAPT on the growth of OS cells. Moreover, both partial least squares-discriminant analysis (PLS-DA) and principal component analysis-linear discriminant analysis (PCA-LDA) analyses revealed governing composition variations among groups by distinguishing their spectral characteristics. Furthermore, by adopting leave-one-out cross validation method, it is shown that PLS-DA exhibited more classification capacity than PCA-LDA algorithm. Hence, by understanding the DAPT-based cellular variations, the achieved results provided an experimental foundation to establish new DAPT-based anticancer therapeutic strategies, and preclinical Raman analytical methodologies on drug-cell interactions.image

CONFLICT OF INTEREST

The authors declare no potential conflict of interest.

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