Ken-Chao Chen
National Taiwan University
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Featured researches published by Ken-Chao Chen.
Clinical Chemistry | 2011
Ken-Chao Chen; Tai-Ping Lee; Yu-Cheng Pan; Chi-Ling Chiang; Chen-Lin Chen; Yao-Hsu Yang; Bor-Luen Chiang; Hsinyu Lee; Andrew M. Wo
BACKGROUND Circulating endothelial cells (CECs) in the blood are rare but have been shown to be associated with various diseases. With the ratio of CECs to peripheral blood mononuclear cells (PBMCs) less than 1 part per thousand, their separation from PBMCs and detection are challenging. We present a means of detecting CECs from PBMCs via an economical microfluidic disk with a model cell system [human umbilical vein endothelial cells (HUVECs) in PBMCs], along with demonstration of its efficacy clinically. METHODS To enrich these rare cells, we used immunomagnetic beads and a tailor-made magnet on the disk. CEC-simulating HUVECs, as target cells, were stained with primary anti-CD146-phycoerythrin antibody and bound with secondary antibody on antiphycoerythrin magnetic beads. PBMCs served as nontarget cells and were labeled with anti-CD45-FITC antibody. RESULTS When hundreds of HUVECs were mixed in 10(6) PBMCs, 95% of spiked HUVECs were detected. This yield also held for 60 HUVEC in <10(4) PBMCs. We compared data from flow cytometry with that from the disk: CEC counts in 50 μL blood from patients with systemic lupus erythematosus were 61.1 (21.5), significantly higher (P < 0.01) than those of healthy donors, 31.2 (13.3). CONCLUSIONS The count of CECs is a suitable marker for symptoms of systemic lupus erythematosus. The microfluidic disk system should be a viable platform for detection of CECs.
Clinical Chemistry | 2013
Yu-An Chen; Ken-Chao Chen; Vincent F.S. Tsai; Zi-Wei Huang; Ju-Ton Hsieh; Andrew M. Wo
BACKGROUND Semen analysis is essential for evaluating male infertility. Besides sperm concentration, other properties, such as motility and morphology, are critical indicators in assessing sperm quality. Nevertheless, rapid and complete assessment of these measures still presents considerable difficulty and involves a range of complex issues. Here we present a microfluidic device capable of quantifying a range of properties of human sperm via the resistive pulse technique (RPT). METHODS An aperture, designed as a long channel, was used to allow the quantification of various properties as sperm swam through. RESULTS The time trace of the voltage drop across the aperture during sperm passage contained a wealth of information: the sperm volume was presented by the amplitude of the induced pulse, the swim velocity was evaluated via the duration, and the beat frequency was calculated from the voltage undulation superposed on the pulse signal. The RPT measurement of swim velocity and beat frequency showed a correlation with the same observation in a microscope (R(2) = 0.94 and 0.70, respectively). CONCLUSIONS The proposed proof of principle enables substantial quantification of the motion-dependent properties of sperm. Because this approach requires only a current/voltage source and data analysis, it is economically advantageous compared with optical methods for characterizing sperm motion. Furthermore, this approach may be used to characterize sperm morphology.
Analytical Biochemistry | 2012
Ken-Chao Chen; Yu-Cheng Pan; Chen-Lin Chen; Ching-Hung Lin; Chiun-Sheng Huang; Andrew M. Wo
Recent studies have shown that specific rare cells in the blood can serve as an indicator of cancer prognosis, among other purposes. This article demonstrates the concept of separating and detecting rare cells from peripheral blood mononuclear cells via an economical microfluidic disk with a model system. MCF7, labeled with magnetic beads, was used to simulate circulating tumor cells as a target. Jurkat clone E6-1 was used to simulate leukocytes or other cells abundant in human blood. A tailored multistage magnet maximized the magnetic field to ensure optimal trapping efficiency. Results indicate that the yield of detected MCF7 was consistent at approximately 80% when fewer than hundreds of MCF7 cells were mixed in greater than 1 million Jurkat cells. The 80% yield also held for 10 MCF7 in 100 million Jurkat (rarity of 10(7)). Compared with the results from autoMACS, the performance was at least 20% higher and was more independent of the number of Jurkat. The viability of the enriched cells was approximately 90 ± 20%, showing that this method caused little damage to trapped cells. The microfluidic disk should be applicable for separation and detection of various rare cells, such as circulating tumor cells and circulating endothelial cells in human blood.
nano/micro engineered and molecular systems | 2011
Chen-Lin Chen; Yu-Cheng Pan; Ken-Chao Chen; Andrew M. Wo
Cyto-analysis of rare cells often requires separation and detection with either procedure possesses substantial challenge. This paper presents a disk-based microfluidic platform for both procedures via immunomagnetic negative selection process. Proof-of-concept was conducted using wide range of MCF7 as target rare cells and spiked into Jurkat as non-target cells. Then, mononuclear cells (MNC) from healthy blood donors were mixed with MCF7s, modeling rare cells, and tested in the disk. Results show the average yield of detected MCF7 is near-constant 60±10% over a wide range of rarity from 10−3 to 10−6 and this yield also holds for MCF7/MNC complex mixture. Comparison with autoMACS and BD IMagnet separators revealed the average yield from the disk (60%) is superior to that of autoMACS (37.3%) and BD IMagnet (48.3%).
Lab on a Chip | 2011
Chen-Lin Chen; Ken-Chao Chen; Yu-Cheng Pan; Tai-Ping Lee; Lo-Chang Hsiung; Cheng-Ming Lin; Chang-Yu Chen; Ching-Hung Lin; Bor-Luen Chiang; Andrew M. Wo
Archive | 2009
Andrew M. Wo; Chen-Lin Chen; Ken-Chao Chen; Yu-Cheng Pan
Analyst | 2014
Ching-Te Kuo; Hao-Kai Liu; Guan-Syuan Huang; Chi-Hao Chang; Chen-Lin Chen; Ken-Chao Chen; Ruby Yun-Ju Huang; Ching-Hung Lin; Hsinyu Lee; Chiun-Sheng Huang; Andrew M. Wo
Archive | 2009
Andrew M. Wo; Chen-Lin Chen; Ken-Chao Chen; Yu-Cheng Pan
Archive | 2010
Andrew M. Wo; Yu-Cheng Pan; Ken-Chao Chen; Chen-Lin Chen
Cancer Research | 2017
Yu-Jen Chang; Chen-Lin Chen; Wei-fan Hsu; Meng-Ze Li; Wei-Yuan Ma; Ken-Chao Chen; Guan-Syuan Huang; Wai-Sang Wong; Jhan-Yu Syu; Yo-Yan Huang Thomas; Ching-Hung Lin; Andrew M. Wo; Chiun-Sheng Huang