کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7231061 | 1470951 | 2016 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
DNA methyltransferase detection based on digestion triggering the combination of poly adenine DNA with gold nanoparticles
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
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چکیده انگلیسی
DNA methyltransferase (MTase) has received a large amount of attention due to its catalyzation of DNA methylation in both eukaryotes and prokaryotes, which has a close relationship to cancer and bacterial diseases. Herein, a novel electrochemical strategy based on Dpn I digestion triggering the combination of poly adenine (polyA) DNA with a gold nanoparticles functioned glassy carbon electrode (AuNPs/GCE), is developed for the simple and efficient detection of DNA MTase and inhibitor screening. Only one methylene blue (MB)-labeled DNA hairpin probe and two enzymes are involved in this designed method. In the presence of Dam MTase, the hairpin probe can be methylated and then cleaved by the restriction endonuclease. Thus, a MB-labeled polyA signal-stranded DNA product is introduced to the surface of AuNPs/GCE through the effect between polyA and AuNPs, resulting in an obvious electrochemical signal. On the contrary, in the absence of Dam MTase, the DNA probe cannot be cleaved and a relatively small electrochemical response can be observed. As a result, the as-proposed biosensor offered an efficient way for Dam MTase activity monitoring with a low detection of 0.27Â U/mL, a wide linear range and good stability. Additionally, this assay holds great potential for further application in real biological matrices and inhibitors screening, which is expected to be useful in disease diagnosis and drug discovery.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosensors and Bioelectronics - Volume 80, 15 June 2016, Pages 74-78
Journal: Biosensors and Bioelectronics - Volume 80, 15 June 2016, Pages 74-78
نویسندگان
Pei Liu, Dandan Wang, Yunlei Zhou, Haiyan Wang, Huanshun Yin, Shiyun Ai,