Electroporation and Viability Monitoring Chip for Lung Cancer Cells in Single Channel with Multiple Electric Field Zones

2012 ◽  
Vol 36 (9) ◽  
pp. 901-905
Author(s):  
Min-Ji Kim ◽  
Tae-Yoon Kim ◽  
Young-Ho Cho
Author(s):  
Yen-Heng Lin ◽  
Gwo-Bin Lee

This paper presents a new integrated microfluidic device capable of counting and continuously lysing cells by using hydrodynamic forces and optically-induced electric field. First, the cells were focused in the central stream using hydrodynamic sheath flows. Then the focused cells passed through the buried optical fibers such that the number of cells can be counted optically. For 13-μm lung cancer cells, a total of 97 cells were counted without any missed. The counting accuracy can be as high as 100%. After counting, cells were continuously disrupted using the optically-induced electric field. At an applied voltage of 20 Vpp with a frequency of 30 kHz, the lysis rate can be high as 100% when the length of illuminated light was 150 μm. The developed chip is therefore promising for intercellular constituent analysis and other cell-based studies.


2014 ◽  
Vol 8 (5) ◽  
pp. 052007 ◽  
Author(s):  
Hsien-San Hou ◽  
Hsieh-Fu Tsai ◽  
Hsien-Tai Chiu ◽  
Ji-Yen Cheng

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Huijuan Li ◽  
Shibin Liu ◽  
Xue Yang ◽  
Yongqian Du ◽  
Jiezhang Luo ◽  
...  

2009 ◽  
Vol 24 (12) ◽  
pp. 3510-3516 ◽  
Author(s):  
Ching-Wen Huang ◽  
Ji-Yen Cheng ◽  
Meng-Hua Yen ◽  
Tai-Horng Young

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Lingyan Wang ◽  
Jiayun Hou ◽  
Minghuan Zheng ◽  
Lin Shi

Actinidia Chinensis Planch roots (acRoots) are used to treat many cancers, although the anti-tumor mechanism by which acRoots inhibit cancer cell growth remains unclear. The present study aims at investigating inhibitory effects of acRoots on human lung cancer cells and potential mechanisms. Our data demonstrate that the inhibitory effects of acRoots on lung cancer cells depend on genetic backgrounds and phenotypes of cells. We furthermore found the expression of metabolism-associated gene profiles varied between acRoots-hypersensitive (H460) or hyposensitive lung cancer cells (H1299) after screening lung cancer cells with different genetic backgrounds. We selected retinoic acid receptor beta (RARB) as the core target within metabolism-associated core gene networks and evaluated RARB changes and roles in cells treated with acRoots at different concentrations and timeframes. Hypersensitive cancer cells with the deletion of RARB expression did not response to the treatment with acRoots, while RARB deletion did not change effects of acRoots on hyposensitive cells. Thus, it seems that RARB as the core target within metabolism-associated networks plays important roles in the regulation of lung cancer cell sensitivity to acRoots.


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