Literature DB >> 27816579

Cell migration microfluidics for electrotaxis-based heterogeneity study of lung cancer cells.

Yaping Li1, Tao Xu2, Heng Zou1, Xiaomei Chen3, Dong Sun4, Mengsu Yang5.   

Abstract

Tumor metastasis involves the migration of cells from primary site to a distant location. Recently, it was established that cancer cells from the same tumor were heterogeneous in migratory ability. Numerous studies have demonstrated that cancer cells undergo reorientation and migration directionally under physiological electric field (EF), which has potential implications in metastasis. Microfluidic devices with channel structures of defined dimensions provide controllable microenvironments to enable real-time observation of cell migration. In this study, we developed two polydimethylsiloxane (PDMS)-based microfluidic devices for long-term electrotaxis study. In the first chip, three different intensities of EFs were generated in a single channel to study cell electrotactic behavior with high efficiency. We observed that the lung adenocarcinoma H1975 cells underwent cathodal migration with changing cellular orientation. To address the issue of cell electrotactic heterogeneity, we also developed a cell isolation device integrating cell immobilization structure, stable EF generator and cell retrieval module in one microfluidic chip to sort out different cell subpopulations based on electrotactic ability. High electrotactic and low electrotactic cells were harvested separately for colony formation assay and transcriptional analysis of migration-related genes. The results showed that H1975 cell motility was related to EGFR expression in the absence of EF stimulation, while in the presence of EF it was associated with PTEN expression. Up-regulation of RhoA was observed in cells with high motility, regardless of EF. The easy cell manipulation and precise field control of the microfluidic devices may enable further study of tumor heterogeneity in complex electrotactic environments.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Electrotaxis; Heterogeneity; Lung cancer; Microfluidic chip

Mesh:

Year:  2016        PMID: 27816579     DOI: 10.1016/j.bios.2016.10.002

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  8 in total

1.  Electrotaxis-on-Chip to Quantify Neutrophil Migration Towards Electrochemical Gradients.

Authors:  Maryam Moarefian; Rafael V Davalos; Michael D Burton; Caroline N Jones
Journal:  Front Immunol       Date:  2021-08-06       Impact factor: 8.786

2.  Microfluidic platform for probing cancer cells migration property under periodic mechanical confinement.

Authors:  Dongce Ma; Ran Wang; Shuxun Chen; Tao Luo; Yu-Ting Chow; Dong Sun
Journal:  Biomicrofluidics       Date:  2018-04-27       Impact factor: 2.800

3.  From Petri Dishes to Organ on Chip Platform: The Increasing Importance of Machine Learning and Image Analysis.

Authors:  Arianna Mencattini; Fabrizio Mattei; Giovanna Schiavoni; Annamaria Gerardino; Luca Businaro; Corrado Di Natale; Eugenio Martinelli
Journal:  Front Pharmacol       Date:  2019-02-26       Impact factor: 5.810

4.  MMHelper: An automated framework for the analysis of microscopy images acquired with the mother machine.

Authors:  Ashley Smith; Jeremy Metz; Stefano Pagliara
Journal:  Sci Rep       Date:  2019-07-12       Impact factor: 4.379

5.  Stochastic and Heterogeneous Cancer Cell Migration: Experiment and Theory.

Authors:  Taejin Kwon; Ok-Seon Kwon; Hyuk-Jin Cha; Bong June Sung
Journal:  Sci Rep       Date:  2019-11-08       Impact factor: 4.379

Review 6.  Microfluidic-Chip-Integrated Biosensors for Lung Disease Models.

Authors:  Shuang Ding; Haijun Zhang; Xuemei Wang
Journal:  Biosensors (Basel)       Date:  2021-11-15

Review 7.  Studying Electrotaxis in Microfluidic Devices.

Authors:  Yung-Shin Sun
Journal:  Sensors (Basel)       Date:  2017-09-07       Impact factor: 3.576

8.  Cellular processes involved in lung cancer cells exposed to direct current electric field.

Authors:  Huijuan Li; Shibin Liu; Xue Yang; Yongqian Du; Jiezhang Luo; Jie Tan; Yulong Sun
Journal:  Sci Rep       Date:  2020-03-24       Impact factor: 4.379

  8 in total

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