Literature DB >> 29165440

Dynamic characterization of drug resistance and heterogeneity of the gastric cancer cell BGC823 using single-cell Raman spectroscopy.

Yong Zhang1, Ludi Jin, Jingjing Xu, Yuezhou Yu, Lin Shen, Jing Gao, Anpei Ye.   

Abstract

Drug resistance and heterogeneous characteristics of human gastric carcinoma cells (BGC823) under the treatment of paclitaxel (PTX) were investigated using single-cell Raman spectroscopy (RS). RS of normal and drug-resistant BGC823 cells (DR-BGC823) were collected and analyzed using arithmetic, statistic and individual spectrum analysis. The dynamic effects of paclitaxel (PTX) in normal and DR-BGC823 cells were evaluated dynamically. The RS intensity changed with PTX over time and produced distinct different results for the two types of cells. The average RS intensities of the normal BGC823 cells initially decreased and then increased under PTX treatment after 24 hours. In contrast, upon exposure to PTX, the average intensity of the DR-BGC823 cells initially increased within 12 hours and then gradually decreased and approached a steady state. The temporal variation of the typical component in the cells was analyzed by comparing the ratios between Raman bands. More importantly, the heterogeneous characteristics of the BGC823 cells under PTX treatment were quantified and clustered using hierarchical trees combined with RS intensity changes. The 'outlier' cells related to drug resistance were discriminated. The heterogeneity of the normal BGC823 cells under drug treatment gradually appeared over time, and was evaluated with the eigenvalues of principal component analysis (PCA). Our study indicates that single-cell RS may be useful in systematically and dynamically characterizing the drug response of cancer cells at the single-cell level.

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Year:  2017        PMID: 29165440     DOI: 10.1039/c7an01287j

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  6 in total

1.  Towards early monitoring of chemotherapy-induced drug resistance based on single cell metabolomics: Combining single-probe mass spectrometry with machine learning.

Authors:  Renmeng Liu; Mei Sun; Genwei Zhang; Yunpeng Lan; Zhibo Yang
Journal:  Anal Chim Acta       Date:  2019-09-25       Impact factor: 6.558

2.  Integrating a generalized data analysis workflow with the Single-probe mass spectrometry experiment for single cell metabolomics.

Authors:  Renmeng Liu; Genwei Zhang; Mei Sun; Xiaoliang Pan; Zhibo Yang
Journal:  Anal Chim Acta       Date:  2019-03-11       Impact factor: 6.558

3.  Anti-Cancer Drug Sensitivity Assay with Quantitative Heterogeneity Testing Using Single-Cell Raman Spectroscopy.

Authors:  Yong Zhang; Jingjing Xu; Yuezhou Yu; Wenhao Shang; Anpei Ye
Journal:  Molecules       Date:  2018-11-07       Impact factor: 4.411

4.  Cancer-associated fibroblasts in gastric cancer affect malignant progression via the CXCL12-CXCR4 axis.

Authors:  Yan Qin; Fang Wang; Hengli Ni; Yao Liu; Yuan Yin; Xinyi Zhou; Guihua Gao; Qing Li; Xiaowei Qi; Jianming Li
Journal:  J Cancer       Date:  2021-03-19       Impact factor: 4.207

Review 5.  Research Progress in the Medical Application of Heavy Water, Especially in the Field of D2O-Raman Spectroscopy.

Authors:  Xin Wang; Nai-Meng Liu; Ya-Fei Zhao; Fan Yang; Zi-Jia Zhu; Dong Song
Journal:  Int J Med Sci       Date:  2022-07-18       Impact factor: 3.642

6.  Confocal Raman Spectral Imaging Study of DAPT, a γ-secretase Inhibitor, Induced Physiological and Biochemical Reponses in Osteosarcoma Cells.

Authors:  Jie Li; Rui Wang; Jie Qin; Haishan Zeng; Kaige Wang; Qingli He; Difan Wang; Shuang Wang
Journal:  Int J Med Sci       Date:  2020-02-10       Impact factor: 3.738

  6 in total

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