Literature DB >> 21327253

A simple and fast microfluidic approach of same-single-cell analysis (SASCA) for the study of multidrug resistance modulation in cancer cells.

XiuJun Li1, Yuchun Chen, Paul C H Li.   

Abstract

Due to the cellular heterogeneity in multidrug resistance (MDR) cell populations, positive drug effects on the modulation of MDR can be obscured in conventional methods, especially when only a small number of cells are available. To address cellular variations among different MDR cells, we report a new microfluidic approach to study drug effect on MDR modulation, by investigating drug accumulation of daunorubicin in MDR leukemia cells. We have demonstrated that the new approach of same-single-cell analysis by accumulation (denoted as SASCA-A) is not only superior to different-single-cell analysis, but also has key advantages over our previous approach of same-single-cell analysis. First, SASCA-A is much simpler as it does not require multiple cycles of drug uptake and drug efflux. Second, it is faster, only taking about one fourth of the time used in the previous approach. Third, it provides a more 'identical' and reliable control because it compares the time points just before MDR modulator tests. To help understand the dynamics of drug accumulation in MDR cells, we also developed a mathematical model to describe the kinetics of drug accumulation conducted in individual cells. The SASCA-A method will benefit drug resistance research in minor cell subpopulations (e.g., cancer "stem" cells) because this method requires only a small number of cells in identifying the MDR reversal effect.

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Year:  2011        PMID: 21327253     DOI: 10.1039/c0lc00626b

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  28 in total

Review 1.  Alternating current electrohydrodynamics in microsystems: Pushing biomolecules and cells around on surfaces.

Authors:  Ramanathan Vaidyanathan; Shuvashis Dey; Laura G Carrascosa; Muhammad J A Shiddiky; Matt Trau
Journal:  Biomicrofluidics       Date:  2015-12-08       Impact factor: 2.800

Review 2.  Biomarker detection for disease diagnosis using cost-effective microfluidic platforms.

Authors:  Sharma T Sanjay; Guanglei Fu; Maowei Dou; Feng Xu; Rutao Liu; Hao Qi; XiuJun Li
Journal:  Analyst       Date:  2015-11-07       Impact factor: 4.616

Review 3.  Single cell optical imaging and spectroscopy.

Authors:  Anthony S Stender; Kyle Marchuk; Chang Liu; Suzanne Sander; Matthew W Meyer; Emily A Smith; Bhanu Neupane; Gufeng Wang; Junjie Li; Ji-Xin Cheng; Bo Huang; Ning Fang
Journal:  Chem Rev       Date:  2013-02-14       Impact factor: 60.622

4.  Interfacial nano-biosensing in microfluidic droplets for high-sensitivity detection of low-solubility molecules.

Authors:  Maowei Dou; José Mireles García; Sihui Zhan; XiuJun Li
Journal:  Chem Commun (Camb)       Date:  2016-01-13       Impact factor: 6.222

5.  TISSUE ENGINEERING PERFUSABLE CANCER MODELS.

Authors:  E L Fong; M Santoro; M C Farach-Carson; F K Kasper; A G Mikos
Journal:  Curr Opin Chem Eng       Date:  2014-02       Impact factor: 5.163

6.  Single cell kinase signaling assay using pinched flow coupled droplet microfluidics.

Authors:  Ramesh Ramji; Ming Wang; Ali Asgar S Bhagat; Daniel Tan Shao Weng; Nitish V Thakor; Chwee Teck Lim; Chia-Hung Chen
Journal:  Biomicrofluidics       Date:  2014-05-19       Impact factor: 2.800

7.  Study of flow behaviors on single-cell manipulation and shear stress reduction in microfluidic chips using computational fluid dynamics simulations.

Authors:  Feng Shen; Xiujun Li; Paul C H Li
Journal:  Biomicrofluidics       Date:  2014-02-21       Impact factor: 2.800

8.  Microfluidic filter device with nylon mesh membranes efficiently dissociates cell aggregates and digested tissue into single cells.

Authors:  Xiaolong Qiu; Jeremy A Lombardo; Trisha M Westerhof; Marissa Pennell; Anita Ng; Hamad Alshetaiwi; Brian M Luna; Edward L Nelson; Kai Kessenbrock; Elliot E Hui; Jered B Haun
Journal:  Lab Chip       Date:  2018-09-11       Impact factor: 6.799

9.  Microfluidic flow cytometry: The role of microfabrication methodologies, performance and functional specification.

Authors:  Anil B Shrirao; Zachary Fritz; Eric M Novik; Gabriel M Yarmush; Rene S Schloss; Jeffrey D Zahn; Martin L Yarmush
Journal:  Technology (Singap World Sci)       Date:  2018-03-16

10.  Label-free isolation of a prostate cancer cell among blood cells and the single-cell measurement of drug accumulation using an integrated microfluidic chip.

Authors:  A Khamenehfar; T V Beischlag; P J Russell; M T P Ling; C Nelson; P C H Li
Journal:  Biomicrofluidics       Date:  2015-11-12       Impact factor: 2.800

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