期刊论文详细信息
SENSORS AND ACTUATORS B-CHEMICAL 卷:193
Investigation of C-terminal domain of SARS nucleocapsid protein-Duplex DNA interaction using transistors and binding-site models
Article
Hsu, You-Ren1  Kang, Yen-Wen1  Fang, Jung-Ying1  Lee, Geng-Yen2  Chyi, Jen-Inn2  Chang, Chung-ke3  Huang, Chih-Cheng1  Hsu, Chen-Pin1  Huang, Tai-huang3  Huang, Yu-Fen4  Sun, Yuh-Chang4  Hsu, Chia-Hsien5  Chen, Chih-Chen5  Li, Sheng-Shian1  Yeh, J. Andrew1  Yao, Da-Jeng1  Ren, Fan6  Wang, Yu-Lin1 
[1] Natl Tsing Hua Univ, Inst Nanoengn & Microsyst, Hsinchu 300, Taiwan
[2] Natl Cent Univ, Dept Elect Engn, Tao Yuan 32001, Taiwan
[3] Acad Sinica, Inst Biomed Sci, Taipei 11529, Taiwan
[4] Natl Tsing Hua Univ, Dept Biomed Engn & Environm Sci, Hsinchu 300, Taiwan
[5] Natl Hlth Res Inst, Div Med Engn, Miaoli, Taiwan
[6] Univ Florida, Dept Chem Engn, Gainesville, FL 32611 USA
关键词: SARS;    GaN;    HEMTs;    Sensors;    Dissociation constants;    Binding sites;   
DOI  :  10.1016/j.snb.2013.11.087
来源: Elsevier
PDF
【 摘 要 】

AlGaN/GaN high electron mobility transistors (HEMTs) were used to sense the binding between double stranded DNA (dsDNA) and the severe acute respiratory syndrome coronavirus (SARS-CoV) nucleocapsid protein (N protein). The sensing signals were the drain current change of the HEMTs induced by the protein-dsDNA binding. Binding-site models using surface coverage ratios were utilized to analyze the signals from the HEMT-based sensors to extract the dissociation constants and predict the number of binding sites. Two dissociation constants, K-D1 = 0.0955 nM, K-D2 = 51.23 nM, were obtained by fitting the experimental results into the two-binding-site model. The result shows that this technique is more competitive than isotope-labeling electrophoretic mobility shift assay (EMSA). We demonstrated that AlGaN/GaN HEMTs were highly potential in constructing a semiconductor-based-sensor binding assay to extract the dissociation constants of nucleotide-protein interaction. (C) 2013 Elsevier B.V. All rights reserved.

【 授权许可】

Free   

【 预 览 】
附件列表
Files Size Format View
10_1016_j_snb_2013_11_087.pdf 1340KB PDF download
  文献评价指标  
  下载次数:5次 浏览次数:2次