Literature DB >> 32697432

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

Jie Li1, Jie Qin2, Haishan Zeng3, Jing Li2, Kaige Wang1, Shuang Wang1.   

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.
© 2020 Wiley-VCH GmbH.

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Keywords:  DAPT; confocal Raman micro-spectroscopy; osteosarcoma cells; partial least squares-discriminant analysis; principal component analysis-linear discriminant analysis

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Year:  2020        PMID: 32697432     DOI: 10.1002/jbio.202000238

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  1 in total

1.  Raman Microspectroscopic Investigation and Classification of Breast Cancer Pathological Characteristics.

Authors:  Heping Li; Tian Ning; Fan Yu; Yishen Chen; Baoping Zhang; Shuang Wang
Journal:  Molecules       Date:  2021-02-09       Impact factor: 4.411

  1 in total

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