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Issue 22, 2021
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Confocal Raman microspectral analysis and imaging of the drug response of osteosarcoma to cisplatin

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Abstract

Confocal Raman microspectral analysis and imaging were used to elucidate the drug response of osteosarcoma (OS) to cisplatin. Raman spectral data were obtained from OS cells that were untreated (UT group) and treated with 20 µM (20T group) and 40 µM (40T group) cisplatin for 24 hours. Statistical analysis of the changes in specific Raman signals was performed using a one-way ANOVA and multiple Tukey's honest significant difference (HSD) post hoc tests. Principal component analysis-linear discriminant analysis (PCA-LDA) was used to highlight the featured cellular drug responses based on the obtained spectral information. For spectral imaging analysis, k-means cluster analysis (KCA) was adopted to clarify the effect of cisplatin dose changes on the subcellular structure and its biochemical composition. The results suggest that the major biochemical changes induced by cisplatin in OS cells undergoing apoptosis are reduced protein and nucleic acid content. Through univariate analysis, the changes in the distribution of nucleic acids in OS cells induced by different doses of cisplatin were obtained. The combination of Raman spectroscopy and multivariate analysis shows that cisplatin mainly acts on the nucleus and causes changes in the secondary structure of proteins. These results indicate that Raman imaging technology has the potential to offer the basis of dose optimization for personalized cancer treatment by helping to understand in vitro cellular drug interactions.

Graphical abstract: Confocal Raman microspectral analysis and imaging of the drug response of osteosarcoma to cisplatin

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Supplementary files

Article information


Submitted
13 Apr 2021
Accepted
03 May 2021
First published
03 May 2021

Anal. Methods, 2021,13, 2527-2536
Article type
Paper

Confocal Raman microspectral analysis and imaging of the drug response of osteosarcoma to cisplatin

H. Wang, J. Li, J. Qin, J. Li, Y. Chen, D. Song, H. Zeng and S. Wang, Anal. Methods, 2021, 13, 2527
DOI: 10.1039/D1AY00626F

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