Literature DB >> 23418122

High throughput cell cycle analysis using microfluidic image cytometry (μFIC).

Hyun Ju Yoo1, Jonghoon Park, Tae Hyun Yoon.   

Abstract

Microfluidic image cytometry (μFIC) is a novel approach for the cytotoxicity assessment of the cells cultured and treated within microfluidic channels under a precisely controlled chemical environment. Here, following our previous morphology-, and MTT absorbance-based μFIC, we are presenting our recent effort to develop, evaluate, and apply a high throughput cell cycle analysis method using fluorescence-based μFIC. A microfluidic device with a concentrantion gradient generator (CGG) and eight straight cell culture channels was fabricated, optimized, and applied for the assessment of paclitaxel-induced cell cycle changes of HeLa cells. Throughout this study, we have shown that the cell cycle analysis using fluorescence-based μFIC was able to provide comparable experimental data with those of flow cytometry. Moreover, cell cycle analysis using μFIC can also provide further advantages over flow cytometry, such as higher throughput, lower assay cost, less generation of toxic waste, and etc., which should have significant implications in pharmaceutical and biological applications as a future high throughput cell cycle analysis platform.
Copyright © 2013 International Society for Advancement of Cytometry.

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Year:  2013        PMID: 23418122     DOI: 10.1002/cyto.a.22261

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  6 in total

1.  Subcellular localization-dependent changes in EGFP fluorescence lifetime measured by time-resolved flow cytometry.

Authors:  Ali Vaziri Gohar; Ruofan Cao; Patrick Jenkins; Wenyan Li; Jessica P Houston; Kevin D Houston
Journal:  Biomed Opt Express       Date:  2013-07-19       Impact factor: 3.732

2.  Generating 2-dimensional concentration gradients of biomolecules using a simple microfluidic design.

Authors:  Amid Shakeri; Nick Sun; Maryam Badv; Tohid F Didar
Journal:  Biomicrofluidics       Date:  2017-08-02       Impact factor: 2.800

3.  The influence of cell morphology on microfluidic single cell analysis.

Authors:  Xuxin Zhang; Yanzhao Li; Hanshu Fang; Hongquan Wei; Ying Mu; Ming-Fei Lang; Jing Sun
Journal:  RSC Adv       Date:  2018-12-21       Impact factor: 4.036

4.  Effect of Ect2 Expression on the Growth of Triple-Negative Breast Cancer Cells with Paclitaxel Intervention.

Authors:  Hongkun Wang; Honggang Liu; Jun Li; Shuanyu Wei; Xiaojun Liu; Huili Wan; Peiming Zheng; Huixia Zheng
Journal:  Onco Targets Ther       Date:  2020-12-16       Impact factor: 4.147

5.  Development of a shear stress-free microfluidic gradient generator capable of quantitatively analyzing single-cell morphology.

Authors:  David Barata; Giulia Spennati; Cristina Correia; Nelson Ribeiro; Björn Harink; Clemens van Blitterswijk; Pamela Habibovic; Sabine van Rijt
Journal:  Biomed Microdevices       Date:  2017-09-07       Impact factor: 2.838

6.  On-Chip Cell Staining and Counting Platform for the Rapid Detection of Blood Cells in Cerebrospinal Fluid.

Authors:  Yujin Lee; Byeongyeon Kim; Sungyoung Choi
Journal:  Sensors (Basel)       Date:  2018-04-07       Impact factor: 3.576

  6 in total

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