Literature DB >> 24687250

Quantitative study of cellular heterogeneity in doxorubicin uptake and its pharmacological effect on cancer cells.

Bin Deng1, Zhi-Ming Wang, Zi-Hao Zhou, Yi-Meng Liu, Xi-Liang Yang, Jian Song, Yu-Xiu Xiao.   

Abstract

Cellular heterogeneity in doxorubicin (DOX) uptake and its relationship with pharmacological effect on cancer cells were quantitatively investigated for the first time. An in vitro experimental model was established by treating human leukemia K562 and breast cancer MCF-7 cells with different schedules of DOX with or without surface P-glycoprotein (P-gp) inhibitor verapamil (VER). The cellular heterogeneity in DOX uptake was quantitatively examined by single-cell analysis using capillary electrophoresis coupled with laser-induced fluorescence detection. The corresponding cytotoxic effect was tested by cellular morphology, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium and flow cytometry assays. The expression of cellular membrane surface P-gp was determined by flow cytometry. Results showed that the cellular heterogeneity exists in DOX uptake. The single-high DOX schedule leads to lower uptake heterogeneity and higher mean drug uptake. The cellular heterogeneity in DOX uptake was found to be negatively correlated with drug cytotoxicity and surface P-gp expression, with r = -0.7680 to ~ -0.9587. VER reduces the cellular variation in DOX uptake, suggesting that surface P-gp may be one of the causes of the cellular heterogeneity in DOX uptake. This research demonstrates the importance of quantitative study of cellular heterogeneity in drug uptake and its potential application in drug schedule design, response prediction and therapy modulation.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  capillary electrophoresis; cellular heterogeneity; doxorubicin; pharmacological effect; single-cell analysis

Mesh:

Substances:

Year:  2014        PMID: 24687250     DOI: 10.1002/bmc.3181

Source DB:  PubMed          Journal:  Biomed Chromatogr        ISSN: 0269-3879            Impact factor:   1.902


  2 in total

Review 1.  Design and Application of Sensors for Chemical Cytometry.

Authors:  Brianna M Vickerman; Matthew M Anttila; Brae V Petersen; Nancy L Allbritton; David S Lawrence
Journal:  ACS Chem Biol       Date:  2018-02-08       Impact factor: 5.100

2.  Single Cell Mass Spectrometry Quantification of Anticancer Drugs: Proof of Concept in Cancer Patients.

Authors:  Ryan C Bensen; Shawna J Standke; Devon H Colby; Naga Rama Kothapalli; Anh T Le-McClain; Michael A Patten; Abhishek Tripathi; Jonathan E Heinlen; Zhibo Yang; Anthony W G Burgett
Journal:  ACS Pharmacol Transl Sci       Date:  2021-01-05
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.